02.03.2019 – 15.01.2020


  1. H. Ahmadian, E. Roohi, A. Teymourtash, S. Stefanov, A dusty gas model-direct simulation Monte Carlo algorithm to simulate flow in microporous media, Physics of Fluids, Vol. 31, Submitted: 04.03.2019; Accepted: 25.05.2019; Published Online: 14.06.2019, doi: 10.1063/1.5094637 (IF: 2.627)
  2. B. Ataabadi, D. Karagiozova, M. Alves, Crushing and energy absorption mechanisms of carbon fiber-epoxy tubes under axial impact, International Journal of Impact Engineering, Vol. 131, Received: 30.11.2018; Received in revised form: 04.02.2019; Accepted: 21.03.2019; Available online: 22.03.2019, 174–189 (IF: 3.173)
  3. Bazhlekova, Subordination principle for space-time fractional evolution equations and some applications, Integral Transforms and Special Functions, 30(6), Received: 05.12. 2018, Accepted: 07.02.2019, Published online: 23.02.2019, 431-452, DOI:10.1080/10652469.2019.1581186 (IF: 0.812)
  4. Boyadzhiev, N. Kutev, Strong maximum principle for nonlinear cooperative elliptic systems, AIP Conference Proceedings, 2159, art. no. 030005, Date of Conference: 01-04.07.2019; Published Online: 02.10.2019, DOI: 10.1063/1.5127470 (SJR: 0.182)
  5. Fidanov, S. Gocheva-Ilieva, I. Iliev, Statistical modeling of CuBr-Ne-HBr laser characteristics at high repetition frequency, AIP Conference Proceedings 2164, 070001, Date of Conference: 20-25.06.2019; Published Online: 24.10.2019, https://doi.org/10.1063/1.5130821 (SJR: 0.18)
  6. Fidanova, J. Dezert, A. Tchamova, Inter-Criteria Analysis Based on Belief Functions for GPS Surveying Problems, 2019 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA), INSPEC Accession Number: 18869208, Date of Conference: 3-5.07.2019, Available online: 29.07.2019, DOI: 10.1109/INISTA.2019.8778423
  7. Fidanova, G. Luque, O. Roeva, M. Ganzha, Ant Colony optimization Algorithm for Workforce Planning: Influence of the Evaporation Parameter, Proceedings of the Federated Conference on Computer Science and Information Systems, Vol. 18, Date of Conference: 1-4.09.2019, Available online: 07.10.2019, DOI: 10.15439/2019F300, 177–181
  8. Ganzha, I. Lirkov, and M. Paprzycki, Performance analysis of hybrid parallel solver for 3D Stokes equation on Intel Xeon computer system, AIP Conference Proceedings 2164, 120003 (2019); Available Online: 24.10.2019, https://doi.org/10.1063/1.5130863 (SJR: 0.18)
  9. Geneva, G. Shopov, S. Mihov, Building an ASR Corpus Based on Bulgarian Parliament Speeches, Springer LNCS 11816, First Online: 27.09.2019, 188–197 (SJR: 0.28)
  10. G. Gocheva-Ilieva, I.P. Iliev, D.V. Fidanov, Primary analytical model for determining the electron temperature of a CuBr laser, IOP Conf. Series: Materials Science and Engineering 618, 16-18.05.2019; Published online: 29 .10.2019; doi:10.1088/1757-899X/618/1/012018 (SJR: 0.19)
  11. Gocheva-Ilieva, A. Ivanov, Assaying SARIMA and generalised regularized regression for particulate matter PM10 modelling and forecasting, Int. J. Environment and Pollution, Vol. 66, Nos. 1/2/3, 2019, 41-61 (IF: 0.69)
  12. Gocheva-Ilieva, M. Teofilova, A. Iliev, H. Kulina, D. Voynikova, A. Ivanov, P. Atanasova, Data Mining for Statistical Evaluation of Summative and Competency-Based Assessments in Mathematics, CISIS 2019, ICEUTE 2019, Advances in Intelligent Systems and Computing, Vol. 951, 13-15.05.2019; Date of Conference: First Online: 28.04.2019, https://doi.org/10.1007/978-3-030-20005-3_21  (SJR: 0.17)
  13. Gocheva-Ilieva, S.G., Voynikova, D.S., Stoimenova, М.Р., Ivanov, A.V., Iliev, I.P., Regression trees modeling of time series for air pollution analysis and forecasting, Neural Computing and Applications, Vol. 31, Received: 13.10.2017, Accepted: 07.08.2019, First Online: 17.08.2019, DOI https://doi.org/10.1007/s00521-019-04432-1 (IF: 4.664)
  14. Harizanov, R. Lazarov, S. Margenov, P. Marinov, Numerical solution of fractional diffusion–reaction problems based on BURA, Computers and Mathematics with Applications, Received: 16.02.2019, Revised: 15.06.2019, Accepted: 02.07.2019, Available online: 25.07.2019, https://doi.org/10.1016/j.camwa.2019.07.002, (ISI IF: 2.811, TOP 10%)
  15. Harizanov, R. Lazarov, S. Margenov, P. Marinov, The Best Uniform Rational Approximation: Application to Solving Equations Involving Fractional Powers of Elliptic Operators, Lecture Notes in Computer Sciences and Technologies, Vol. 9, Available Online: 31.12.2019, http://parallel.bas.bg/lcst/2019/09-2019-HLMM.pdf#page=1&zoom=auto,-15,849
  16. Kutev, T. Rangelov, Lower estimate of the first eigenvalue of p-Laplacian via Hardy inequality, Compt. Rend. Acad. Bul. Sci. v.72:9, 2019 (IF: 0.321)
  17. Kyurkchiev, V. Kyurkchiev, A. Iliev, A. Rahnev, Some Nonstandard Differential Models With Applications To The Population Dynamics And Computer Viruses Propagation, Dynamic Systems and Applications, Vol. 28 (3), Received: 11.03.2019 ; Revised: 27.08.2019 ; Published (online): 20.09.2019, doi: 10.12732/dsa.v28i3.13, 757-788 (SJR: 0.2)
  18. Kyurkchiev, A. Iliev, A. Rahnev, Comments on a Zubair–G Family of Cumulative Lifetime Distributions. Some extensions, Communications in Applied Analysis, 23, No. 1, 2019, 1-20 (SJR:0.17)
  19. D. Popova, Rank one interval enclosure of the parametric united solution set, BIT Numerical Mathematics, 59 (2), Received: 07.06.2018, Accepted: 03.11.2018. First Online: 12.11.2018, Published: 01.06.2019, 503–521. DOI: 10.1007/s10543-018-0739-4 (IF: 1.451)
  20. Slavova, R. Tetzlaff, Mathematical Analysis of Memristor CNN, Book chapter in “Memristors – Circuits and Applications of Memristor Devices”, Ed. A.P. James, ItechOpen, Submitted: 18.12. 2018, Reviewed: 23.04.2019, Published: 27.09. 2019, DOI: 10.5772/intechopen.86446
  21. Slavova, Local Activity in Reaction-Diffusion CNN Models, AIP Conference proceedings, Vol. 2159, Conference date: 1–4.07.2019, Published: 02.10.2019, https://aip.scitation.org/toc/apc/2159/1 (SJR: 0.18)
  22. Slavova, Z. Zafirova, Dynamics of Viscoelastic Burgers’ Cellular Neural Networks Model, AIP Conference Proceedings, vol. 2159, Conference date: 1–4.07.2019, Published: 02.10.2019, https://aip.scitation.org/toc/apc/2159/1(SJR: 0.18)
  23. K. Stefanov, On the basic concepts of the direct simulation Monte Carlo method, Physics of Fluids, Vol. 31, Submitted: 05.04.2019; Accepted: 21.05.201; Published Online: 12.06.2019, https://doi.org/10.1063/1.5099042 (IF: 2.627)
  24. Terzieva, A. Iliev, A. Rahnev, V. Kyurkchiev, Investigations on the Saturation of c.d.f. of the Modified “Odd Generalized Exponential Power Function Distribution“. Some Applications, Neural, Parallel, and Scientific Computations, Vol. 27 (3&4), Received: 01.06.2019, Accepted: 04.10.2019, Published: 18.10.2019. doi: 10.12732/npsc.v27i3&4.3, 165-175 (SJR: 0.12)
  25. Terzieva, A. Iliev, A. Rahnev, N. Kyurkchiev, Communications in Applied Analysis, 23, No. 3, 2019, 465-481(SJR: 0.17)
  26. Velichkov, I. Koychev, S. Boytcheva, Deep Learning Contextual Models for Prediction of Sportsmen Interviews, Proceedings of Recent Advances in Natural Language Processing, Varna, Bulgaria, Sep 2–4, 2019, 240–1246 (SJR: 0.143) (Open Access)
  27. Zaevsky, O. Kounchev, M. Savov, Two frameworks for pricing defaultable options, Chaos, Solitons and Fractals, vol. 123, Received: 05.12.2018, Revised: 11.04.2019, Accepted: 14.04.2019, Available online: 19.04.2019,  https://doi.org/10.1016/j.chaos.2019.04.025,  309-319 (IF: 2.643)