!!Panos Pardalos - Publications
\\
November 2020: H-index = 100 (Google Scholar). \\
\\
Panos Pardalos is a co-author of 7 books,  500 papers in refereed journals, editor or co-editor of more than 60 books. \\
\\
__Last 5 years selected publications:__\\
\\
1. Emami, P., Pardalos, P.M., Elefteriadou, L., Ranka, S.\\
Machine Learning Methods for Data Association in Multi-Object Tracking\\
(2020) ACM Computing Surveys, 53 (4), № 3394659 (IF=14,495)\\
\\
2. Pi, J., Wang, H., Pardalos, P.M.\\
A dual reformulation and solution framework for regularized convex clustering problems\\
(2020) European Journal of Operational Research (IF=5,646).\\
\\
3. Džamić, D., Pei, J., Marić, M., Mladenović, N., Pardalos, P.M.\\
Exponential quality function for community detection in complex networks, (2020) International Transactions in Operational Research, 27 (1), pp. 245-266. (IF=3,747)\\
\\
4. Carpi, L.C., Schieber, T.A., Pardalos, P.M., Marfany, G., Masoller, C., Díaz-Guilera, A., Ravetti, M.G.\\ Assessing diversity in multiplex networks, (2019) Scientific Reports, 9 (1), № 4511, IF=4,419 (Q1)\\
\\
5. Li, J., Pardalos, P.M., Xin, B., Chen, J.\\ The bi-objective critical node detection problem with minimum pairwise connectivity and cost: theory and algorithms (2019) Soft Computing, IF=3,161 (Q2)\\
\\
6. Tang, L., Tian, Y., Yang, C., Pardalos, P.M. \\Ramp-loss nonparallel support vector regression: Robust, sparse and scalable approximation (2018) Knowledge-Based Systems, 147, pp. 55-67, IF=7,039 (Q1)\\
\\
7. Wang, X., Fan, N., Pardalos, P.M.\\ Robust chance-constrained support vector machines with second-order moment information, (2018) Annals of Operations Research, 263 (1-2), pp. 45-68, IF=2,905 (Q1)\\
\\
8. Schieber, T.A., Carpi, L., Díaz-Guilera, A., Pardalos, P.M., Masoller, C., Ravetti, M.G.\\
Quantification of network structural dissimilarities (2017), Nature Communications, 8, № 13928, IF=12,877 (Q1)\\
\\
9. Panagopoulos, O.P., Pappu, V., Xanthopoulos, P., Pardalos, P.M.\\ Constrained subspace classifier for high dimensional datasets (2016) Omega (United Kingdom), 59, pp. 40-46, IF=7,67 (Q1)\\
\\
10. Pappu, V., Panagopoulos, O.P., Xanthopoulos, P., Pardalos, P.M.\\ Sparse Proximal Support Vector Machines for feature selection in high dimensional datasets (2015) Expert Systems with Applications, 42 (23), pp. 9183-9191. IF=6,372 (Q1)