Peer-Reviewed Articles and Chapters

  1. A. Konstorum, A. Adler, T. Vella, and R. Laubenbacher, Addressing current challenges in cancer immunotherapy with mathematical and computational modeling, J. Royal Soc. Interface, 14(131), DOI: 10.1098/rsif.2017.0240, 2017.
  2. C. Kadelka, J. Kuipers, and R. Laubenbacher, The influence of canalization on the robustness of Boolean networks, Physica D, 2017, in press.
  3. C. Brunson and R. Laubenbacher, Applications of network analysis to routinely collected health care data: A systematic review, J. Amer. Med. Inform. Assoc., 2017, in press.
  4. C. Brunson, X. Wang, R. Laubenbacher, Effects of research complexity and competition on the incidence and growth of coauthorship in biomedicine, PLoS One, 12(3):e0173444, 2017.
  5. C. Kadelka, Y. Li, J. Kuipers, J.O. Adeyeye, R. Laubenbacher, Multistate nested canalizing functions and their networks, J. Theor. Comp. Sci., 2017, in press.
  6. J. Chifman, S. Arat, Z. Deng, E. Lemler , JC Pino, LA Harris, MA Kochen, CF Lopez, S.A. Akman , F.M. Torti, S.V. Torti, R. Laubenbacher, Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective, PLoS One, doi: 10.1371/journal.pcbi.1005352, 2017.
  7. G. An, B.G. Fitzpatrick, S. Christley, P. Federico, A. Kanarek, R. Miller Neilan, M. Oremland, R. Salinas, R. Laubenbacher, S. Lenhart, Optimization and control of agent-based models in biology: a perspective, Bull. Math. Biol., 79(1), 2017.
  8. D. Murrugarra, A. Veliz-Cuba, B. Aguilar, R. Laubenbacher, Identification of control targets in molecular Boolean network models via computational algebra, BMC Syst. Biol., 2016, Sep 23;10(1):94.
  9. M. Oremland, K.R. Michels, A.M. Bettina, C. Lawrence, B. Mehrad, R. Laubenbacher, A computational model of invasive aspergillosis in the lung and the role of iron, iron, BMC Systems Biology 10:34, doi: 10.1186/s12918-016-0275-2, 2016.
  10. A. Ibrahim, P. Vera-Licona, R. Laubenbacher, T. Favre, AlgoRun, a Docker-based packaging system for platform-agnostic implemented algorithms, Bioinformatics, doi:10.1093/bioinformatics/btw120, 2016.
  11. Tsurutani N, Mittal P, St Rose MC, Ngoi SM, Svedova J, Menoret A, Treadway FB, Laubenbacher R, Suárez-Ramírez JE, Cauley LS, Adler AJ, Vella AT, Costimulation Endows Immunotherapeutic CD8 T Cells with IL-36 Responsiveness during Aerobic Glycolysis, J Immunol., 196(1):124-34, 2016.
  12. M.G. Brandon, B.A. Howard, C.B. Lawrence, R. Laubenbacher, Iron acquisition and oxidative stress response in Aspergillus fumigatus, BMC Systems Biology, 9 (19), 2015, doi: 10.1186/s12918-015-0163-1.
  13. S. Arat, J. Bullerjahn, R. Laubenbacher, A network biology approach to denitrification in Pseudomonas aeruginosa, PLoS One 10 (2), 2015.
  14. A. Veliz-Cuba, B. Aguilar, R. Laubenbacher, Dimension reduction of large sparse AND-NOT network models, Electronic Notes in Theorical Computer Science 316, 83-95, 2015.
  15. M. Oremland and R. Laubenbacher, Optimal harvesting for a predator-prey agent-based model using difference equations, Bull. Math. Biol., 77 (3), 434-459, 2015.
  16. A. Veliz-Cuba, B. Aguilar, F. Hinkelmann, R. Laubenbacher, Steady state analysis of Boolean molecular network models via model reduction and computational algebra, BMC Bioinformatics, 15:221, 2014.
  17. A.S. Jarrah, F. Castiglione, N.P. Evans, R.W. Grange, and R. Laubenbacher, A mathematical model of skeletal muscle disease and immune response in the mdx mouse, BioMed Research International,, 2014.
  18. P. Vera-Licona, A.S. Jarrah, L.D. Garcia-Puente, J. McGee, R. Laubenbacher, An algebra-based method for inferring gene regulatory networks, BMC Systems Biology 8:37, doi:10.1186/1752-0509-8-37, 2014 (chosen as one of “Editor’s Picks”).
  19. M. Oremland and R. Laubenbacher, Using difference equations to find optimal tax structures on the SugarScape, J. Economic Interaction and Coordination 9 (2), 233-253, 2014.
  20. M. Oremland and R. Laubenbacher, Optimization of agent-based models: scaling methods and heuristic algorithms, J. Artificial Societies and Social Simulation 17 (2) 6, 2014.
  21. R. Laubenbacher, F. Hinkelmann, D. Murrugarra, and A. Veliz-Cuba, Algebraic models and their use in systems biology, in Discrete and Topological Models in Molecular Biology, N. Jonoska and M. Saito (eds.), Springer Verlag, NY, 2014.
  22. J.C. Brunson, S. Fassino, A. McInnes, M. Narayan, B. Richardson, C. Frank, P. Ion, and R. Laubenbacher, Evolutionary events in a mathematical sciences research collaboration network, Scientometrics, 99 (3), 973-998, 2013.
  23. A. Veliz-Cuba, D. Murrugarra, and R. Laubenbacher, Structure and dynamics of acyclic networks, Discrete Event Dynamic Systems, DOI 10.1007/s10626-013-0174-2, 2013.
  24. W. Sha, A. Martins, R. Laubenbacher, P. Mendes, and V. Shulaev, The genome-wide early temporal response of Saccaromyces cerevisiae to oxidative stress induced by cumene hydroperoxide, PLoS One, 8, 2013, doi: 10.1371/journal.pone.0074939.
  25. Y. Li, D. Murrugarra, J.O. Adeyeye, and R. Laubenbacher, The number of canalyzing functions over any finite set, Open J. of Discrete Math., 3 (3), 130-136, 2013.
  26. C. Kadelka, D. Murrugarra, and R. Laubenbacher, Stabilizing gene regulatory networks through feedforward loops, Chaos, 23 (2), DOI: 10.1063/1.4808248, 2013.
  27. Y. Li, J.O. Adeyeye, D. Murrugarra, B. Aguilar, R. Laubenbacher, Boolean nested canalizing functions: a comprehensive analysis, J. Theor. Comp. Sci., 481, 24-36, 2013.
  28. A. Veliz-Cuba, K. Buschur, R. Hamerschock, A. Kniss, E. Wolff, R. Laubenbacher, AND-NOT logic framework for steady state analysis of Boolean network models, Appl. Math. Inf. Sci., 7 (4), 2013.
  29. J.O. Adeyeye, Y. Li, I.J. Williams, J.D. Green, and R. Laubenbacher, Monomial dynamical systems over Fq with bidirectional cycle dependency graph, Far East Journal of Dynamical Systems, 20 (2) 77-93, 2012.
  30. R. Laubenbacher, F. Hinkelmann, and M. Oremland, Agent-based models and optimal control in biology: a discrete approach, in R. Robeva and T. L. Hodge (eds.), Mathematical Concepts and Methods in Modern Biology, Elsevier, Jan 2013.
  31. F. Hinkelmann and R. Laubenbacher, Finite Fields in Biology, in G. Mullen and D. Panario (Eds.), Handbook of Finite Fields, CRC Press, Boca Raton, FL, 2013.
  32. D. Murrugarra, A. Veliz-Cuba, B. Aguilar, S. Arat, and R. Laubenbacher, Modeling stochasticity and variability in gene regulatory networks, EURASIP J. Bioinf. and Sys. Biol., 2012:5.
  33. D. Murrugarra and R. Laubenbacher, The Number of Multistate Nested Canalyzing Functions, Physica D, 241, 929-938, 2012.
  34. J. Chifman, A. Kniss, P. Neupane, I. Williams, B. Leung, P. Mendes, V. Hower, F.M. Torti, S.A. Akman, S.V. Torti, and R. Laubenbacher, The core control system of intracellular iron homeostasis: a mathematical model, J. Theor. Biol., 300, 91-99, 2012.
  35. A. Veliz-Cuba and R. Laubenbacher, On the computation of fixed points in Boolean networks, J. Appl. Math. Comp. 39 (1-2), 145-153, 2012.
  36. D. Murrugarra and R. Laubenbacher, Regulatory patterns in molecular interaction networks, J. Theor. Biol., 288, 66-72, 2011.
  37. F. Hinkelmann, M. Brandon, B. Guang, R. McNeill, G. Blekherman, A. Veliz-Cuba, and R. Laubenbacher, ADAM: Analysis of the Dynamics of Algebraic Models of Biological Systems using Computer Algebra, BMC Bioinformatics, 12:295, 2011.
  38. R. Laubenbacher, A systems biology approach to cancer drug discovery; in Dubitzky W., Wolkenhauer, O., Cho K.-H., Yokota H. (Eds), Encyclopedia of Systems Biology, Springer Verlag, New York, 2011.
  39. D .Cortes, W. Shah, V. Hower, G. Blekherman, R. Laubenbacher, S. Akman, S. Torti, V. Shulaev, Differential gene expression in normal and transformed human mammary epithelial cells in response to oxidative stress, Free Radical Biology and Medicine, 50 (11) 1565-1574, 2011.
  40. G. Blekherman, R. Laubenbacher, D. Cortes, P. Mendes, F. Torti, S. Akman, S. Torti, and V. Shulaev, Bioinformatics tools for cancer metabolomics, Metabolomics, 7 (3) 329-243, 2011 (featured on journal cover).
  41. F. Hinkelmann, D. Murrugarra, A. Jarrah, and R. Laubenbacher, A mathematical framework for agent-based models of complex biological networks, Bull. Math. Biol. 73 (7), 1583-1603, 2011.
  42. E. Dimitrova, L.D. Garcia, F. Hinkelmann, A. Jarrah, R. Laubenbacher, B. Stigler, M. Stillman, P. Vera-Licona, Parameter estimation for Boolean models of biological systems, J. Theor. Comp. Sci. 412, 2816-2826, 2011.
  43. F. Hinkelmann and R. Laubenbacher, Boolean models of bistable biological systems, Discrete and Cont. Dynamical Systems 4 (6), 1414-1456, 2011.
  44. A. Veliz-Cuba, A.S. Jarrah, R. Laubenbacher, Polynomial Algebra of Discrete Models in Systems Biology, Bioinformatics, 26, 1637-1643, 2010.
  45. R. Laubenbacher and D. Pengelley, “Voici ce que j’ai trouvé:” Sophie Germain’s grand plan to prove Fermat’s Last Theorem, Historia Mathematica, 37 (4) 641-692, 2010.
  46. E. Dimitrova, P. Vera-Licona, J. McGee, R. Laubenbacher, Discretization of time series data, J. Comp. Biol., 17 (6), 853-868, 2010.
  47. A. Jarrah, R. Laubenbacher, A. Veliz-Cuba, The dynamics of conjunctive and disjunctive Boolean network models, Bull. Math. Biol., 72 (6), 1425-1447, 2010.
  48. R. Robeva and R. Laubenbacher, Mathematical biology education: beyond calculus, Science 325, No. 5940, pp. 542-543, July 31, 2009.
  49. R. Laubenbacher and A. Jarrah, Algebraic models in systems biology, Methods in Enzymology, 467, 163-196, 2009.
  50. R. Laubenbacher, V. Hower, A. Jarrah, S. V. Torti, V. Shulaev, P. Mendes, F. M. Torti, and S. Akman, A systems biology view of cancer, Biochim Biophys Acta, 2009, 1796(2):129-39.
  51. R. Laubenbacher, A. S. Jarrah, E. Dimitrova. B. Stigler, and P. Vera-Licona, System identification for discrete polynomial models of gene regulatory networks, System Identification, 15(1): 29-41, 2009.
  52. V. Hower, P. Mendes, F. M. Torti, R. Laubenbacher, S. Akman, V. Shulaev, and S. V. Torti, A General Map of Iron Metabolism and Tissue-specific Subnetworks, Molecular Biosystems 5 (5) 422-443, 2009.
  53. R. Laubenbacher and B. Sturmfels, Computer algebra in systems biology, The American Mathematical Monthly, 116, 882-891, 2009.
  54. R. Laubenbacher and B. Stigler, Design of experiments and biochemical network inference, in Algebraic and Geometric Methods in Statistics, P. Gibilisco, E. Riccomagno, M.-P. Rogantin, H. P. Wynn (eds.), Cambridge University Press, 2009.
  55. R. Laubenbacher, Jarrah A., H. S. Mortveit, and S. S. Ravi. The mathematics of agent-based modeling formalisms. Encyclopedia of Complexity and System Science. Springer Verlag, New York, 2009.
  56. E. Sontag, A. Veliz-Cuba, R. Laubenbacher, and A. Jarrah, The effect of negative feedback loops on the dynamics of Boolean networks. Biophysical Journal, 95 (2):518-26, 2008.
  57. P. V. Licona and R. Laubenbacher, Inference of ecological interaction networks, Annales Zoologici Fennici, 2008; 45(5): 459-464.
  58. V. G. Romanovski, A. S. Jarrah, and R. Laubenbacher. The Cyclicity Problem for Two-dimensional Polynomial Systems, Differential Equations and Control Processes 2008; (Electronic journal, ISSN 1817-2172,
  59. V. Choi, Y. Huang, V. Lam, D. Potter, R. Laubenbacher, and K. Duca, Using formal concept analysis for microarray data comparison, Journal of Bioinformatics and Computational Biology 6 (1). PMID: 18324746, 2008.
  60. A. Martins, P. Vera-Licona, and R. Laubenbacher. ‘Model your genes the mathematical way’ –a mathematical biology workshop for secondary school teachers, Teaching Mathematics and its Applications 2008; 27: 91-101.
  61. M. Shapiro, K. Duca, E. Delgado-Eckert, V. Hadinoto, Jarrah A., R. Laubenbacher, K. Lee, N. Polys, and D. Thorley-Lawson. A Virtual Look at Epstein-Barr Virus Infection: Simulation Mechanism. Journal of Theoretical Biology. Feb 16 [Epub ahead of print] PMID: 18371986, 2008.
  62. A. Jarrah, R. Laubenbacher. On the Algebraic Geometry of Polynomial Dynamical Systems. Emerging Applications of Algebraic Geometry, S. Sullivant and M. Putinar (ed.), IMA Volume. Springer. 2008.
  63. D. Camacho, P. Vera-Licona, P. Mendes, and R. Laubenbacher. Comparison of reverse engineering methods using an in silico network. Annals of the New York Academy of Sciences, 2007; 1115:73-89.
  64. A. Jarrah and R. Laubenbacher. Discrete Models of Biochemical Networks: The Toric Variety of Nested Canalyzing Functions, Proc. of the Second Intl.Conf. on Algebraic Biology, 2007; LNCS 4545, pp. 15-22.
  65. A. Jarrah, B. Raposa and R. Laubenbacher. Nested Canalyzing, Unate Cascade, and Polynomial Functions. Physica D: Nonlinear, 2007; Vol. 233 (2), 167-174.
  66. B. Stigler, A. Jarrah, M. Stillman, and R. Laubenbacher R. Reverse-Engineering of Dynamic Networks, Annals of the New York Academy of Sciences. 2007; Vol. 1115, 168-177.
  67. E. Dimitrova, A. Jarrah, B. Stigler, and R. Laubenbacher. A Groebner Fan based Method for Biochemical Network in Proceedings of ISSAC’2007, ACM Press, pp.122-126
  68. K.Duca, M.Shapiro, E.Delgado-Eckert, V. Hadinoto, A. Jarrah, R. Laubenbacher & D.A. Thorley-Lawson. A Virtual Look at Epstein–Barr Virus Infection: Biological Interpretations. PLoS Pathog 2007; 3(10): 1388-400.
  69. F. Castiglione, K.A. Duca , A.S. Jarrah, R. Laubenbacher, D. Hochberg, D.A. Thorley-Lawson, Simulating Epstein-Barr virus infection with C-ImmSim, Bioinformatics 2007; 23 (11): 1371-1377.
  70. A. Jarrah, R. Laubenbacher, B. Stigler, and M. Stillman, Reverse-engineering polynomial dynamical systems, Adv. In Appl. Math. 2007; 39:477–489. (Top-cited article, 2005-2010)
  71. V. Choi, Y. Huang, V. Lam, D. Potter, R. Laubenbacher, and K. Duca, Using formal concept analysis for microarray data comparison, 5th Asia-Pacific Biocomputing Conference, 2006.
  72. O. Colon-Reyes, A. Jarrah, R. Laubenbacher, and B. Sturmfels, Monomial dynamical systems over finite fields, Complex Systems 2006; 16(4):333-342.
  73. R. Laubenbacher, B. Pareigis, Update schedules of sequential dynamical systems, Discrete Applied Mathematics 2006; 154:980-994.
  74. L. Garcia, A. S. Jarrah, and R. Laubenbacher, Sequential dynamical systems over words, Applied Math and Comp. 2006; 174:500-510.
  75. E. Babson, H. Barcelo, M. de Longueville, and R. Laubenbacher, Homotopy theory of graphs, J. Alg. Comb. 2006; 24:31-44.
  76. R. Laubenbacher and P. Mendes, A discrete approach to top-down modeling of biochemical networks, in R. Eils and L. Kriete (eds.) Computational Systems Biology, Boston, Elsevier Academic Press, 2005, p229-247.
  77. H. Barcelo and R. Laubenbacher, Perspectives on A-homotopy theory and its applications, Discrete Mathematics 2005; 298 (1-3): 39-61.
  78. O. Colon-Reyes, R. Laubenbacher, B. Pareigis, Boolean Monomial Dynamical Systems, Annals of Combinatorics 2004; 8: 425-439.
  79. A. Jarrah, H. Vastani, K. Duca, and R. Laubenbacher, An optimal control problem for in vitro virus competition, Proc. Of the 43rd IEEE Conference on Decision and Control, Bahamas, Dec. 2004.
  80. A. Jarrah, R. Laubenbacher, Generic Cohen-Macaulay monomial ideals. Ann. Comb. 2004; 8(1): 45-61.
  81. R. Laubenbacher and B. Stigler, A computational algebra approach to the reverse-engineering of gene regulatory networks, J. Theor. Biol. 2004; 229:523-537.
  82. N. F. Polys, D. A. Bowman, C. North, R. Laubenbacher, and K. Duca, PathSim Visualizer: an information rich virtual environment framework for systems biology, Proc. SIGGRAPH Web3D Session, Los Angeles, 2004.
  83. A. Jarrah, R. Laubenbacher, and V. Romanovski, The Sibirsky component of the center variety of polynomial differential systems, J. Symbolic Comput. 2003; 35(5): 577-589.
  84. R. Laubenbacher, A computer algebra approach to reverse-engineering of biological systems, Proceedings of the Intl. Symposium on Symbolic and Algebraic Computation, Assoc. Comp. Mach., Philadelphia, PA, ACM: New York, 2003.
  85. R. Laubenbacher and B. Pareigis, Decomposition and simulation of sequential dynamical systems, Advances in Applied Math 2003, 30: 655-678.
  86. R. Laubenbacher, G. McGrath, and D. Pengelley, Lagrange and the solution of numerical equations, Historia Mathematica 2001; 28(3): 220-231.
  87. E. Aguirre, A. Jarrah, R. Laubenbacher, A. Ortiz-Navarro, and R. Torrez, Generic ideals and the Moreno-Socias conjecture, Proceedings of the 2001 International Symposium on Symbolic and Algebraic Computation, ACM, New York, 2001.
  88. R. Laubenbacher and B. Pareigis, Equivalence relations on finite dynamical systems, Advances in Applied Math 2001; 237-251
  89. H. Barcelo, X. Kramer, R. Laubenbacher, and C. Weaver, Foundations of a connectivity theory for simplicial complexes, Adv. Appl. Math. 2001; 26: 97-128.
  90. R. Laubenbacher and I. Swanson, Permanental ideals, J. Symbolic Comput. 2000; 30: 195-205.
  91. R. Laubenbacher and K. Schlauch, An algorithm for the Quillen-Suslin Theorem for quotients of polynomial rings by monomial ideals, J. Symbolic Comput. 2000; 30: 555-571.
  92. R. Laubenbacher and C. Woodburn, A new algorithm for the Quillen-Suslin theorem for polynomial rings, Contributions to Algebra and Geometry 2000; 41(1): 23-32.
  93. S. Hermiller, X. Kramer, and R. Laubenbacher, Monomial orderings, rewriting systems, and Groebner bases for the commutator ideal of a free algebra, J. Symbolic Comput. 1999; 27: 133-141.
  94. M. Kolster and R. Laubenbacher, On higher class groups of orders, Math. Z 1998; 228: 229-246.
  95. X. H. Kramer and R. C. Laubenbacher, Combinatorial homotopy of simplicial complexes and complex information systems, in D. Cox and B. Sturmfels (eds.), Applications of Computational Algebraic Geometry, American Math. Soc., Providence, RI, 1998.
  96. R. Laubenbacher and C. Woodburn, An algorithm for the Quillen-Suslin theorem for monoid rings, J Pure Appl Algebra 1997; 117-118(0): 395-429.
  97. R. Laubenbacher and B. Sturmfels, A normal form algorithm for modules over k[x,y]/(x,y), J. Algebra 1996; 184(3): 1001-1024.
  98. D. Arnold and R. Laubenbacher, Finitely generated modules over pullback rings, J. Algebra 1996; 184(1): 304-322.
  99. D. Arnold and R. Laubenbacher, Almost split sequences for dedekind-like rings (part II), Comm. Algebra 1995; 23: 111-130.
  100. R. Laubenbacher and M. Siddoway, Great problems of mathematics: a workshop for high school students, College Math. J. 1994; 25: 112-114.
  101. R. Laubenbacher, D. Pengelley and M. Siddoway, Recovering motivation in mathematics: teaching with original sources, UME Trends 1994; 6.
  102. R. Laubenbacher and D. Pengelley, Gauss, Eisenstein, and the “third” proof of the quadratic reciprocity theorem: ein kleines Schauspiel, Mathematical Intelligencer 1994; 16: 67-72.
  103. R. Laubenbacher and D. Pengelley, Eisenstein’s misunderstood geometric proof of the quadratic reciprocity theorem, College Math J 1994; 25: 29-34.
  104. R. Laubenbacher, Algebraic K-theory of poset representations, K-Theory 1993; 7: 17-21.
  105. R. Laubenbacher and D. Pengelley, Great problems of mathematics: a course based on original sources, Amer. Math. Monthly 1992; 99(4): 313-317.
  106. R. C. Laubenbacher and B.A. Magurn, SK2 and K3 of dihedral groups, Canadian Journal of Math 1992; 44(3): 591-623.
  107. R. Laubenbacher and D. Webb, G0 of integral group rings for groups with cyclic sylow subgroups, in R. K. Dennis and M. R. Stein (eds.), Algebraic K-Theory, Commutative Algebra and Algebraic Geometry, Contemporary Math 126: Amer. Math. Soc., Providence, RI, 1992.
  108. R.C. Laubenbacher and D.L. Webb, The structure of the integral group ring of a finite group with cyclic sylow subgroups, Comm. Algebra 1991; 19(8): 2281-2290.
  109. D. Arnold and R. Laubenbacher, Almost split sequences for Dedekind-like rings (part I), J. London Math. Soc. 1991; s2-43(2): 225-235.
  110. R. Laubenbacher and D. Webb, On SGn of orders, J. Algebra 1990; 133: 125-131.
  111. R. Laubenbacher, On the K-theory of ZG, G a group of square-free order, in J. F. Jardine and V. P. Snaith, Algebraic K-theory: Connections With Geometry and Topology, NATO Adv. Sci. Inst. Ser. C Math. Phys. Sci, 279, 1987, 189-208.
  112. R. Laubenbacher, Generalized Mayer-Vietoris sequences in algebraic K-theory, J Pure Appl Algebra 1988; 51(1-2): 175-192.
  113. R. Laubenbacher, On the K-theory of ZG, G a non-abelian group of order pq, K-Theory 1987; 1(5):499-506.

Book Chapters and Other Publications

  1. R. Laubenbacher and E. Dimitrova, Boolean models in immunology, in Systems Immunology: An Introduction to Modeling Methods for Scientists, J. Das and C. Jayaprakash (eds.), Taylor&Francis Group, Abingdon, UK, 2017, in press.
  2. R. Laubenbacher, Algebraic and Discrete Mathematical Methods for Modern Biology (R. Robeva, ed.), book review, SIAM Review 58 (2), 367-369, 2016.
  3. R. Laubenbacher, You can do anything with a math degree, invited blog post on the Blog On Teaching and Learning Mathematics, American Mathematical Society, January 2015,
  4.  J. Chifman, R. Laubenbacher, and S. Torti, A systems biology approach to iron metabolism, in A Systems Biology Approach to Blood, S.J. Corey and M. Kimmels (eds.), Springer Verlag, NY, 2014, in press.
  5. A. Martins, P. Vera-Licona, R. Laubenbacher, Computational systems biology: discrete models of gene regulatory networks, in Undergraduate Mathematics for the Life Sciences: Processes, Models, and Directions, T. Comar, J. Carpenter, and G. Ledder (eds.), Mathematical Association of America, Washington, D.C., 2013.
  6. R. Laubenbacher, Cancer drug discovery: a systems biology approach, in W. Dubitzky, O. Wolkenhauer, K.-H. Cho, H. Yokata (Eds.), Encylopedia of Systems Biology, Springer Verlag, New York, 2012.
  7. R. Laubenbacher, Algebraic methods in mathematical biology (editorial), Bull. Math. Biol. 73 (4) 701, 2011.
  8. R. Laubenbacher, Mathematics in the Public Mind: the U.S.A., in Public Awareness of Mathematics, E. Behrends, N. Crato, F. Rodrigues (Eds.), Springer Verlag, Heidelberg, 2011.
  9. R. Laubenbacher, D. Murragarra, and A. Veliz-Cuba, Structure and dynamics of polynomial dynamical systems, NSF Engineering Research and Innovation Conference, Atlanta, January 2011.
  10. R. Laubenbacher, Science advocacy, letter to the editor, Notices of the Amer. Math. Soc. 2010, 57 (7): 823.
  11. R. Laubenbacher, Congressional Testimony on 21st Century Biology, Hearing of the Subcommittee on Research and Education of the House Committee on Science and Technology, June 29, 2010,
  12. R. Laubenbacher and A. Jarrah, Algebraic models of biochemical networks, in Essential Numerical Computer Methods (Reliable Lab Solutions), M.L. Johnson (Ed). Academic Press, New York, 2010.
  13. R. Laubenbacher and B. Sturmfels, Computeralgebra in der Systembiologie (reprint), Informatik-Spektrum, 2009; 32 (1): 27-32.
  14. R. Laubenbacher and B. Sturmfels, Computeralgebra in der Systembiologie, Computeralgebra Rundbrief: Sonderheft, 2008, April, 62-66.
  15. A. Jarrah and R. Laubenbacher, Finite dynamical systems: a mathematical framework for computer simulation, in Mathematical Modeling, Simulation, Visualization and e-Learning. D. Konate (ed.) Springer Verlag: 2008.
  16. Sobral, B., D. Eckart, R. Laubenbacher, and P. Mendes. “The Role of Bioinformatics in Toxicogenomics and Proteomics.” Proceedings from NATO Advanced Workshop on Toxicogenomics and Proteomics. Prague, Czech Republic, October 16-20, 2002.
  17. Eduardo Cattani and R. Laubenbacher (eds.): Special Issue on Symbolic Computation in Algebra, Analysis, and Geometry – Foreword of the Guest Editors. J. Symb. Comput. 29(4-5): 483, 2000.
  18. R. Laubenbacher, History of mathematics and the internet, Newsletter of the British Society for the History of Mathematics 1996; 28: 56-57.
  19. R. Laubenbacher and D. Pengelley, Mathematical masterpieces: teaching with original sources, in R. Calinger (ed.), History of Mathematics: Sources, Studies and Pedagogic Integration, MAA, Washington, 1996.
  20. R. Laubenbacher and D. Pengelley, Great theorems: the art of mathematics – a course based on original sources, Newsletter of the International Study Group on the History and Pedagogy of Mathematics 1993; 28: 9-10.
  21. R. Laubenbacher and D. Pengelley, Honors mathematics in the liberal arts curriculum, National Honors Report 1989; 10: 21-22.


  1. R. Laubenbacher (ed.), Modeling and simulation of biological networks, Symposia in Pure and Applied Mathematics, Providence, RI: Amer. Math. Soc., 2007.
  2. A. Knoebel, R. Laubenbacher, J. Lodder and D. Pengelley, Mathematical Masterpieces. Undergraduate Texts in Mathematics. Readings in Mathematics. Springer-Verlag, New York, 2007.
  3. E. L. Green, S. Hosten, R. Laubenbacher, and V. A. Powers (eds.), Symbolic Computation: solving equations in algebra, geometry, and engineering, Amer. Math. Soc, Providence, RI, 2002.
  4. R. Laubenbacher and D. Pengelley, Mathematical expeditions. Chronicles by the explorers. Undergraduate Texts in Mathematics. Readings in Mathematics. Springer-Verlag, New York, 1999.
  5. R. Laubenbacher and B. Sturmfels (eds.), Theory of Algebraic Invariants by D. Hilbert, translated from the German. Cambridge University Press, New York, 1993.