Refereed Journal Articles

  1. A. Veremyev, A. Sorokin, V. Boginski, and E.L. Pasiliao. Minimum vertex cover problem for coupled interdependent networks with cascading failures. European Journal of Operational Research, 232: 499–511, 2014.
  2. G. Pastukhov, A. Veremyev, V. Boginski, and E.L. Pasiliao. Optimal design and augmentation of strongly attack-tolerant two-hop clusters in directed networks. Journal of Combinatorial Optimization, 27: 462–486, 2014.
  3.  A. Kammerdiner, A. Sprintson, E.L. Pasiliao, and V. Boginski. Optimization of discrete broadcast under uncertainty using conditional value-at-risk. Optimization Letters, 8: 45–59, 2014.
  4.  A. Buchanan, J.S. Sung, V. Boginski, and S. Butenko. On connected dominating sets of restricted diameter. European Journal of Operational Research, 236:410–418, 2014.
  5.  A. Veremyev, V. Boginski, and E.L. Pasiliao. Analytical characterizations of some classes of optimal strongly attack-tolerant networks and their Laplacian spectra. Journal of Global Optimization, 2013 (accepted).
  6.  V. Boginski, S. Butenko, O. Shirokikh, S. Trukhanov, and J. Gil-Lafuente. A network-based data mining approach to portfolio selection via weighted clique relaxations. Annals of Operations Research, 2013 (accepted).
  7.  O. Shirokikh, A. Sorokin, and V. Boginski. A note on transmission switching in electric grids with uncertain line failures. Energy Systems,  4: 419–430, 2013.
  8.  A. Veremyev, V. Boginski, and E.L. Pasiliao. Exact identification of critical nodes in sparse networks via new compact formulations. Optimization Letters, 2013 (accepted).
  9.  J. Pattillo, A. Veremyev, S. Butenko, and V. Boginski. On the maximum quasi-clique problem. Discrete Applied Mathematics, 161: 244–257, 2013.
  10. O. Shirokikh, G. Pastukhov, V. Boginski, and S. Butenko. Computational study of the U.S. stock market evolution: A rank correlation-based network model. Computational Management Science, 10: 81–103, 2013.
  11. M. Carvalho, A. Sorokin, V. Boginski, and B. Balasundaram. Topology design for on-demand dual-path routing in wireless networks.  Optimization Letters, 7: 695–707, 2013.
  12.  A. Sorokin, V. Boginski, A. Nahapetyan, and P.M. Pardalos. Computational risk management techniques for fixed charge network flow problems with uncertain arc failures. Journal of Combinatorial Optimization, 25: 99–122, 2013.
  13.  A. Veremyev, V. Boginski, P.A. Krokhmal, and D.E. Jeffcoat. Dense percolation in large-scale mean-field random networks is provably “explosive”. PLOS ONE 7(12): e51883, 2012
  14. A. Veremyev and V. Boginski. Identifying large robust network clusters via new compact formulations of maximum k-club problems. European Journal of Operational Research, 218: 316–326, 2012.
  15. S. Stefan, M. Ehsan, W. Pearson, A. Aksenov, V. Boginski, B. Bendiak, and J. Eyler. Differentiation of closely related isomers: Application of data mining techniques in conjunction with variable wavelength infrared multiple photon dissociation mass spectrometry for identification of glucose-containing disaccharide ions. Analytical Chemistry, 83(22): 8468–8476, 2011.
  16. K. Kalinchenko, A. Veremyev, V. Boginski, D.E. Jeffcoat, and S. Uryasev. Robust connectivity issues in dynamic sensor networks for area surveillance under uncertainty. Pacific Journal of Optimization, 7(2): 235–248, 2011.
  17.  N. Boyko, T. Turko, V. Boginski, D.E. Jeffcoat, S. Uryasev, G. Zrazhevsky, and P.M. Pardalos. Robust multi-sensor scheduling for multi-site surveillance. Journal of Combinatorial Optimization, 22(1): 35–51, 2011.
  18.  V. Boginski, C.W. Commander, and T. Turko. Polynomial-time identification of robust network flows under uncertain arc failures. Optimization Letters, 3(3):461–473, 2009.
  19.  A. Sorokin, N. Boyko, V. Boginski, S. Uryasev, and P.M. Pardalos. Mathematical programming techniques for sensor networks, Algorithms, 2: 565–581, 2009.
  20.  A. Arulselvan, G. Baourakis, V. Boginski, E. Korchina, and P.M. Pardalos. Analysis of food industry market using network approaches. British Food Journal, 110(9): 916–928, 2008. 
  21.  V. Boginski, S. Butenko, and P.M. Pardalos. Mining market data: A network approach. Computers and Operations Research, 33: 3171–3184, 2006 (Ranked in Top 25 hottest articles in Computers and Operations Research by ScienceDirect during 01-09/06).
  22. A. Arulselvan, V. Boginski, A. Kammerdiner, and P.M. Pardalos. Analysis of stock market structure by identifying connected components in the market graph. Journal of Financial Decision Making, 1(1): 27–37, 2005.
  23.  V. Boginski, S. Butenko, and P.M. Pardalos. Statistical analysis of financial networks. Computational Statistics and Data Analysis, 48(2): 431–443, 2005 (Ranked in Top 25 hottest articles in Computational Statistics and Data Analysis by ScienceDirect during 10/04-03/05).
  24.  V. Boginski, S. Butenko, and P.M. Pardalos. Network models of massive datasets. Computer Science and Information Systems, 1: 75–89, 2004.

Refereed Book Chapters

  1. O. Shirokikh, V. Stozhkov, and V. Boginski. Combinatorial optimization techniques for network-based data mining. In Handbook of Combinatorial Optimization, 2nd edition, P.M. Pardalos et al. (eds.), pp 631–672, Springer, 2013.
  2.  D. Jallo, D. Budai, V. Boginski, B. Goldengorin, and P.M. Pardalos. Network-based representation of stock market dynamics: An application to American and Swedish stock markets. In Models, Algorithms, and Technologies for Network Analysis, B. Goldengorin et al. (eds.), pp. 93–106, Springer, 2013.
  3.  A. Veremyev and V. Boginski. Robustness and strong attack tolerance of low-diameter networks. In Dynamics of Information Systems: Mathematical Foundations, A. Sorokin et al. (eds.), pp. 137–156, Springer, 2012.
  4.  V. Boginski. Network-based data mining: operations research techniques and applications. In Wiley Encyclopedia of Operations Research and Management Science, J. Cochran et al. (eds.), pp. 3498–3508, John Wiley and Sons, 2011.
  5.  V. Boginski and C.W. Commander. Identifying critical nodes in protein-protein interaction networks. In Clustering Challenges in Biological Networks,  S. Butenko et al. (eds.),  pp. 153–167, World Scientific, 2009.
  6.  O. A. Prokopyev, V. Boginski, W. Chaovalitwongse, P.M. Pardalos, J.C. Sackellares, and P.R. Carney. Network-based techniques in EEG data analysis and epileptic brain modeling, In Data Mining in Biomedicine, P.M. Pardalos et al. (eds.), pp. 559–573, Springer, 2007.
  7.  W. Chaovalitwongse, L.D. Iasemidis, P.R. Carney, J.C. Sackellares, D.-S. Shiau, L.K. Dance, O. A. Prokopyev, V. Boginski, and P.M. Pardalos. Data mining in EEG: Application to epileptic brain disorders. In Data Mining in Biomedicine, P.M. Pardalos, et al. (eds.), pp. 459–481, Springer, 2007.
  8.  V. Boginski, P.M. Pardalos, and A. Vazacopoulos. Network-based models and algorithms in data mining and knowledge discovery, In Handbook of Combinatorial Optimization, D.-Z. Du and P.M. Pardalos (eds.), Supplementary Volume B, pp. 217–258, 2005. 
  9.  P.M. Pardalos, V. Boginski, O. Prokopyev, W. Suharitdamrong, P.R. Carney, W. Chaowalitwongse, and A. Vazacopoulos. Optimization in medicine. In Essays and Surveys on Global Optimization, C. Audet and P. Hansen (eds.), pp. 211–232, 2005.
  10.  V. Boginski, S. Butenko, and P.M. Pardalos. Network-based techniques in the analysis of the stock market. In Supply Chain and Finance, P. M. Pardalos, et al. (eds.), World Scientific, pp. 1–14, 2004.
  11.  V. Boginski, S. Butenko, and P. M. Pardalos. Matrix-based methods for college football rankings. In Economics, Management and Optimization in Sports, S. Butenko et al. (eds.), Springer, pp. 1-14, 2004.
  12.  V. Boginski, S. Butenko, P. M. Pardalos, and O. Prokopyev. Collaboration networks in sports. In Economics, Management and Optimization in Sports, S. Butenko et al. (eds.), Springer, pp. 265-277, 2004.
  13. V. Boginski, S. Butenko, and P. M. Pardalos. On structural properties of the market graph. In Innovations in Financial and Economic Networks, A. Nagurney (ed.), Edward Elgar Publishers, pp. 28-45, 2003.
  14.  V. Boginski, S. Butenko, and P. M. Pardalos. Modeling and optimization in massive graphs. In Novel Approaches to Hard Discrete Optimization, P.M. Pardalos and H. Wolkowitz (eds.), AMS, pp. 17-39,  2003.

Refereed Conference Proceedings

  1. L.V. Kulemina, G. Pastukhov, A. Veremyev, and V. Boginski. Using clique relaxations to identify highly connected clusters in molecular networks in cancer. Proceedings of the 2013 AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics, 2013 Nov 12-16; Boston AACR; Molecular Cancer Therapeutics, 10(13 Suppl), 2013.
  2. A. Arulselvan, P. Mendoza, V. Boginski, and P.M. Pardalos. Predicting the nexus between post-secondary education affordability and student success: An application of network-based approaches. Proceedings of International Conference on Advances in Social Network Analysis and Mining, IEEE Computer Society, pp. 149-154, July 2009.
  3. P. Xanthopoulos, A. Arulselvan, V. Boginski, and P.M. Pardalos. A retrospective review of social networks. Proceedings of International Conference on Advances in Social Network Analysis and Mining, IEEE Computer Society, pp. 300-305, July 2009.
  4. V. Boginski, I. Mun, Y. Wu, K. Mason, and C. Zhang. Simulation and analysis of hospital operations and resource utilization using RFID data. Proceedings of IEEE International Conference on RFID, pp. 199-204, Grapevine, TX, March 2007.
  5. S. Butenko, P. Pardalos, and V. Boginski. Analytic approaches to college football rankings. Research Quarterly for Exercise and Sport, Supplement: Suppl. S, Volume: 76,  Issue: 1, pp. A13-A13, 2005. 
Edited Books
  1. Sensors: Theory, Algorithms, and Applications, V. Boginski, C.W. Commander, P.M. Pardalos, and Y. Ye (eds.)  Springer, ISBN: 0-387-88618-4 , November 2011.
  2. Data Mining in Biomedicine, P.M. Pardalos, V. Boginski and A. Vazacopoulos (eds.) Springer, ISBN-10: 0-387-69318-1, February 2007.