Цитирания в издание с ISI импакт-фактор (20)
  1. H. Feyissaa, K. V. Gernaeyb, J. Adler-Nissen. Uncertainty and Sensitivity Analysis: Mathematical Model of Coupled Heat and Mass Transfer for a Contact Baking Process. Journal of Food Engineering 109 (2), 2012, 281–290. ISSN: 0260-8774. DOI: 10.1016/j.jfoodeng.2011.09.012. IF (2012): 2.276. 5-year IF: 2.927. --> II-4
  2. Khare, Y. P., Martinez, C. J., & Muñoz-Carpena, R. Parameter Variability and Drought Models: A Study Using the Agricultural Reference Index for Drought (ARID). Agronomy Journal, 105 (5), 2013, 1417-1432. Doi: 10.2134/agronj2013.0167. ISSN: 0002-1962. IF (2012): 1.518. --> II-4
  3. P. Wei, Z. Lu, D. Wu, C. Zhou. Moment-independent Regional Sensitivity Analysis: Application to an Environmental Model. Environmental Modelling & Software 47. Elsevier BV, 2013, 55 - 63. Elsevier. DOI: 10.1016/j.envsoft.2013.05.003. ISSN: 1364-8152. IF (2013): 4.538. SJR (2013): 2.084. --> II-6
  4. Chen, Y., Yu, J., Khan, S. The Spatial Framework for Weight Sensitivity Analysis in AHP-based Multi-criteria Decision Making. Environmental Modelling and Software, 48, 2013, 129 – 140. Elsevier. DOI: 10.1016/j.envsoft.2013.06.010. ISSN: 1364-8152. IF (2013): 4.538. SJR (2013): 2.084. --> II-6
  5. Wei, P., Lu, Z. and Song, J. Moment-Independent Sensitivity Analysis Using Copula. Risk Analysis, 2013. Doi: 10.1111/risa.12110. Published online: 11.09.2013. Online ISSN: 1539-6924. IF (2012): 2.278. --> II-6
  6. Gál, T., Nagy, L., Dávid, L., Vasa, L., Balogh, P. Technology Planning System as a Decision Support Tool for Dairy Farms in Hungary. Acta Polytechnica Hungarica, 10(8), 2013, 231 - 244. Óbuda University, Hungarian Academy of Engineering and IEEE Hungary Section. ISSN: 1785-8860. SJR (2013): 0.251. IF (2013): 0.471. --> II-6
  7. Gocheva-Ilieva, S., Ivanov, A., Voynikova, D., Boyadzhiev, D. Time Series Analysis and Forecasting for Air Pollution in Small Urban Area: an SARIMA and Factor Analysis Approach. Stochastic Environmental Research and Risk Assessment, 28(4), 2014, 1045-1060. Springer-Verlag Berlin Heidelberg. ISSN: 1436-3240. DOI: 10.1007/s00477-013-0800-4. Published online 25.09.2013. SJR (2014): 1.008. IF (2014): 2.086. --> II-3, II-8
  8. Z. Perkó, D Lathouwers, J.L. Kloosterman, T. van der Hagen. Large Scale Applicability of a Fully Adaptive Non-Intrusive Spectral Projection technique: Sensitivity and Uncertainty Analysis of a Transient. Annals of Nuclear Energy 71, 2014, 272–292. ISSN: 0306-4549. DOI: 10.1016/j.anucene.2014.03.035. IF (2015): 0.960. 5-year IF: 0.985. --> II-4
  9. Thiele, J. C., Kurth, W., Grimm, V. Facilitating Parameter Estimation and Sensitivity Analysis of Agent-based Models: A Cookbook using NetLogo and R. Journal of Artificial Societies and Social Simulation, 17(3), 11, 2014. SimSoc Consortium. URL: http://jasss.soc.surrey.ac.uk/17/3/11.html#ostromsky2010. ISSN: 1460-7425. IF (2015): 1.733. --> III-6
  10. Chen, X. P., Lin, J. G., Huang, X. F. Further Results on Orthogonal Arrays for the Estimation of Global Sensitivity Indices Based on Alias Matrix. Statistical Methods & Applications 24(3), 2015, 411–426. ISSN: 16182510. DOI: 10.1007/s10260-014-0290-7. IF (2015): 0.660. --> II-4
  11. Donders, W. P., Huberts, W., Vosse, V. D. F., Delhaas, T. Personalization of Models with Many Model Parameters: an Efficient Sensitivity Analysis Approach. International Journal for Numerical Methods in Biomedical Engineering, 31 (10), 2015, p. 18. Wiley-Blackwell. DOI: 10.1002/cnm.2727. ISSN: 2040-7939. Online ISSN: 2040-7947. IF (2015): 1.849. SJR (2015): 1.043. --> II-6
  12. Moradi, A., Tootkaboni, M., Pennell, K. G. A Variance Decomposition Approach to Uncertainty Quantification and Sensitivity Analysis of the Johnson and Ettinger Model. Journal of the Air & Waste Management Association 65(2), 2015, 154–164. ISSN: 1096-2247. DOI: 10.1080/10962247.2014.980469. IF (2014): 1.342. 5-year IF: 1.560. --> II-4
  13. Samsó, R., Blázquez, J., Agulló, N., Grau, J., Torres, R., García, J. Effect of Bacteria Density and Accumulated Inert Solids on the Effluent Pollutant Concentrations Predicted by the Constructed Wetlands Model BIO_PORE. Ecological Engineering 80, 2015, 172-180. ISSN: 09258574. DOI: 10.1016/j.ecoleng.2014.09.069. IF (2015): 2.580. 5-year IF: 3.231. --> II-4
  14. Wudhikarn, R., Chakpitak, N., Neubert, G. Use of an Analytic Network Process and Monte Carlo Analysis in New Product Formula Selection Decisions. Asia-Pacific Journal of Operational Research 32 (2), 1550007, 2015, 28 p. World Scientific Publishing Company. ISSN: 0217-5959. DOI: 10.1142/S0217595915500074. IF (2015): 0.425. 5-year IF: 0.438. --> III-4
  15. Khaledi, K., Mahmoudi, E., Datcheva, M., König, D., Schanz, T. Sensitivity Analysis and Parameter Identification of a Time Dependent Constitutive Model for Rock Salt. Journal of Computational and Applied Mathematics 293, 2016, 128-138. Elsevier. IF (2015): 1.328. 5-year IF: 1.294. --> II-3
  16. Laoun, B., Naceur, M. W., Khellaf, A., Kannan, A. M. Global Sensitivity Analysis of Proton Exchange Membrane Fuel Cell Model. International Journal of Hydrogen Energy 41 (22), 2016, 9521–9528. ISSN: 0360-3199. DOI: 10.1016/j.ijhydene.2016.04.046. IF (2014): 3.313. 5-year IF: 3.659. --> II-4
  17. Nguyen-Tuan, L., Lahmer, T., Datcheva, M., Schanz, T. Global and Local Sensitivity Analyses for Coupled Thermo-hydro-mechanical Problems. International Journal for Numerical and Analytical Methods in Geomechanics, 41 (5), 2017, 707–720. John Wiley and Sons Ltd. DOI: 10.1002/nag.2573. ISSN: 0363-9061. SJR(2015): 1.676. IF (2015): 1.758. 5-year IF: 1.778. --> II-4
  18. Devak, M., Dhanya, C. T. Sensitivity Analysis of Hydrological Models: Review and Way Forward. Journal of Water and Climate Change, jwc2017149, 2017. ISSN: 2040-2244. Available Online: 15 June 2017. DOI: 10.2166/wcc.2017.149. IF (2016): 0.917. SJR (2016): 0.444. URL: http://jwcc.iwaponline.com/content/early/2017/06/15/wcc.2017.149. --> II-4
  19. Mazumdar, J., Paul, S. K. A Spatially Explicit Method for Identification of Vulnerable Hotspots of Odisha, India from Potential Cyclones. International Journal of Disaster Risk Reduction, 2017. IF (2016): 1.603, 5-Year IF: 1.916, SJR (2016): 0.834. Available online: 3 November 2017. DOI: 10.1016/j.ijdrr.2017.11.001. URL: http://www.sciencedirect.com/science/article/pii/S2212420917303266?via%3Dihub . --> II-4


Цитирания в издание, индексирано в SCOPUS (10)
  1. T. Gurov, P. Whitlock, I. T. Dimov. Monte Carlo and Quasi-Monte Carlo Algorithms for the Barker-Ferry Equation with Low Complexity. – In: Proceeding of 5th International Conference on Numerical Methods and Application, 2002, Borovets, Bulgaria, Dimov I., Lirkov I.; Margenov S., et al. (eds.), LNCS 2542, 2003, 108-116. ISSN: 0302-9743. SJR (2012): 0.332. --> II-1
  2. V. Alexandrov, E. Atanassov, I. Dimov. Parallel Quasi-Monte Carlo Methods for Linear Algebra Problems. Monte Carlo Methods and Applications, Vol. 10, No. 3-4, 2004, 213-219. ISSN: 0929-9629. SJR (2012): 0.224. --> II-1
  3. Dimov, I.T., A. Penzov, S. Stoilova. Parallel Monte Carlo Approach for Integration of the Rendering Equation. – In: Proc. of NMA’06, LNCS, 4310. Springer, 2007, 140-147. ISSN: 0302-9743. --> II-2
  4. Jaffari, J., Anis, M. Adaptive Sampling for Efficient Failure Probability Analysis of SRAM Cells. – In: Proc. of IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD 2009, Article number 5361229, 623-630. ISSN: 1092-3152. SJR (2009): 1.938. --> III-1
  5. Li, Z.H., Chen, Y.L, Li, S., Bi, D.S. Predict Stiffness of Hydraulic Press with Movable Eccentricity Loading Considering Uncertainty by Monte Carlo Simulation. Materials Science Forum 697-698, 2012, 721-725. Trans Tech Publications Inc. DOI: 10.4028/www.scientific.net/MSF.697-698.721. ISSN: 0255-5476. SJR (2012): 0.261. --> III-4
  6. L. Lin, L. Xiong, L. Shi. Sampling Error in Ensemble Kalman Filter for 2-D Groundwater Flow. Procedia Environmental Sciences 12/Part B, 2012, 899-905, Proceedings of International Conference of Environmental Science and Engineering, 2011. Elsevier. ISSN: 1878-0296. SJR (2012): 0.144 --> II-4
  7. Nie Zuoxing, Yu Dejie, Li Rong, Yao Lingyun. Global Sensitivity Analysis of Autobodies' Noise Transfer Functions Based on Sobol Method. China Mechanical Engineering 23 (14), 2012, 1753-1757. Chinese Mechanical Engineering Society. DOI: 10.3969/j.issn.1004-132X.2012.14.027. ISSN: 1004-132X. SJR (2012): 0.158. --> III-4
  8. Ling, M., Li, H., Li, Q., Li, M. Quasi Monte Carlo Method for the Measurement Uncertainty Evaluation Considering Correlation. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 35(6), 2014, 1385-1393. ISSN: 0254-3087. SJR(2014): 0.328. --> II-8
  9. Zhang, Z.-M., Wang, X.-Y., Li, M.-T. Uncertainty Analysis of WASP Based on Global Sensitivity Analysis Method. Zhongguo Huanjing Kexue/China Environmental Science 34(5), 2014, 1336-1346. Tsing Hua University. ISSN: 1000-6923. SJR(2014): 0.159. --> II-3
  10. Sparkman, D., Garza, J. E., Millwater Jr, H. R., Smarslok, B. P. Importance Sampling-based Post-Processing Method for Global Sensitivity Analysis. - In: Proceedings of 18th AIAA Non-Deterministic Approaches Conference, San Diego, USA (p. 1440), 2016. American Institute of Aeronautics and Astronautics Inc, AIAA. ISBN: 978-162410397-1. Doi: 10.2514/6.2016-1440. SJR (2015): 0.97. --> II-4


Цитирания в издание, издадено в чужбина (9)
  1. Zhang, Z., Wang, X., Yu, Y., Liu, W. Sensitivity Analysis of Decay of COD Concentration in Downstream Water under Water Gate Operation. Water Resources Protection 29 (5), 2013, 45-51. DOI: 10.3969/j.issn.1004-6933.2013.05.009. --> II-3
  2. Liukkonen, M., Ovaska, S. J., Kyyrsa, J. Sensitivity Analysis for the Design of an Energy Management Scheme of Supercapacitor Buffering in a Regulated DC Bus. Proc. of 16th European Conference on Power Electronics and Applications (EPE'14-ECCE Europe), 2014, IEEE. DOI: 10.1109/EPE.2014.6910685. --> II-4
  3. Dimitriu, G., Boiculese, V. L. Sensitivity Study for a SEIT Epidemic Model. – In: Proc. of E-Health and Bioengineering Conference (EHB), 2015, pp. 1-4. IEEE. ISBN: 978-1-4673-7544-3. DOI: 10.1109/EHB.2015.7391495. --> II-8
  4. Fathi-Vajargah, B., Amiri-Chayjani, T. Improving Niederreiter Quasi Random Numbers Generator in Simulation and Estimating High-dimensional Integrals. TI Journals, World Applied Programming 5(3), 2015, 60-67. Technology Institute of Dadaab, Kenya. ISSN: 2222-2510. --> III-8
  5. Perkó, Z. Sensitivity and Uncertainty Analysis of Coupled Reactor Physics Problems: Method Development for Multi-Physics in Reactors. PhD Thesis, TU Delft, Delft University of Technology, Delft, The Netherlands, 2015. ISBN: 978-94-6295-071-9. DOI:10.4233/uuid:2a55e581-acc0-4cbf-a8cf-9675986b9a0c. --> II-4
  6. Xiaohui, H. Y., Lu, D. G. An Advanced Point Estimate Method for Uncertainty and Sensitivity Analysis Using Nataf Transformation and Dimension-Reduction Integration. . Numerical Methods for Reliability and Safety Assessment: Multiscale and Multiphysics Systems (S. Kadry, A. El Hami – Eds.), Springer International Publishing, 2015, 215 – 239. Springer International Publishing. ISBN: 978-3-319-07166-4. Doi: 10.1007/978-3-319-07167-1__7 (book chapter). --> II-4
  7. Cheng, F., Yuan, X., Zhao, S., Cui, Y. The Monte Carlo Method Based on High-Dimensional Integral Calculation. International Journal of Computational and Engineering 1(3), 2016, 53-55. Academic Publishing House. ISSN: 2415-1351. --> II-6
  8. Qu, X., Liu, G., Duan, S., Yang, J. Multi-objective Robust Optimization Method for the Modified Epoxy Resin Sheet Molding Compounds of the Impeller. Journal of Computational Design and Engineering 3(3), 2016, 179-190. Elsevier. ISSN: 2288-4300. DOI: 10.1016/j.jcde.2016.01.002. --> III-8
  9. Jimenez, M. N., Le Maître, O. P., Knio, O. M. Non-Intrusive Polynomial Chaos Expansions for Sensitivity Analysis in Stochastic Differential Equations. SIAM/ASA Journal on Uncertainty Quantification 5 (1), 2017, 378-402. ISSN (electronic): 2166-2525. DOI: 10.1137/16M1061989. URL: https://perso.limsi.fr/olm/archives/sensitivity_vardecNI.pdf . --> II-4


Цитирания в специализирани международни издания, издавани в България (1)
  1. Todorov, V., Dzurov, V., Stojanov, P., Angelov, A. Latin Hypercube and Importance Sampling Algorithms for Multidimensional Integrals. Journal Scientific & Applied Research, 10, 2016, 17-23. Konstantin Preslavsky Publishing House. ISSN: 1314-6289. URL: http://www.associationsar.com/journal-scientific-and-applied-research/. --> III-1


Цитирания в дисертации, защитени в чужбина (8)
  1. J. Jaffari. Statistical Yield Analysis and Design for Nanometer VLSI. PhD Thesis for the degree of Doctor of Philosophy in Electrical and Computer Engineering, 2010, University of Waterloo, Waterloo, Ontario, Canada, 177 pages. --> III-1
  2. Tímea Gál. Efficiency Analysis and Modeling Material Flow Processes on Dairy Farms. PhD Thesis, University of Debrecen, Doctoral School of Animal Husbandry, Debrecen, 2012. --> II-6
  3. Liang, Chun Xia. Can Planting Trees Make It Rain?: The Impact of Trees on Precipitation through Land-atmosphere Feedback. PhD Thesis, University of Sydney, Sydney, Australia, 2013. URL: http://hdl.handle.net/2123/11686. --> II-4
  4. King, M. F. Modelling Infection Risk due to Environmental Contamination in Hospital Single and Multi-bed Ward Accommodation. PhD Thesis, University of Leeds, Faculty of Engineering, School of Civil Engineering, Leeds, UK, 2013. ISBN: 978-0-85731-512-0. URL: http://etheses.whiterose.ac.uk/id/eprint/5886 . --> II-4
  5. Aouragh, L. Etude de la Qualité de l’Air Urbain au Niveau de la Ville de Batna : Cas du Transport Routier. PhD Thesis, Université de Batna 2, 2015. URL: http://eprints.univ-batna2.dz/144/. --> II-3
  6. Rogers, A. Process Systems Engineering Methods for the Development of Continuous Pharmaceutical Manufacturing Processes. PhD Thesis, Graduate School-New Brunswick, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA, 2015. URL: https://rucore.libraries.rutgers.edu/rutgers-lib/47570/ --> II-4
  7. Liu Chu. Reliability and Optimization, Application to Safety of the Aircraft Structures. PhD Thesis, Normandy University, INSA, Rouen, France, 2016. URL: http://www.theses.fr/2016ISAM0008.pdf . --> II-6
  8. Sternberg, David Charles. Optimal Docking to Tumbling Objects with Uncertain Properties. PhD Thesis, Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, Massachusetts, USA, 2017. URL: https://dspace.mit.edu/handle/1721.1/112364. --> II-4.


Цитирания в дисертации, защитени в България (7)
  1. А. Иванов. Статистическо моделиране на качеството на въздуха. Дисертация за присъждане на образователна и научна степен “Доктор”. Пловдивски университет „Паисий Хилендарски”, Факултет по математика и информатика, Катедра „Приложна математика и моделиране“, Пловдив, 2015. URL: http://www.fmi-plovdiv.org/gocheva/Avtoreferat%20Atanas%20Ivanov-20.03.2015.pdf --> II-3, II-8
  2. С. Гочева-Илиева. Аналитични, статистически и интелигентни методи за моделиране. Дисертация за присъждане на научната степен “Доктор на науките”. Пловдивски университет „Паисий Хилендарски”, Факултет по математика и информатика, Катедра „Приложна математика и моделиране“, Пловдив, 2016. URL: http://procedures.uni-plovdiv.bg/docs/procedure/931/1500681396197435781.pdf --> II-3, II-8
  3. В. Тодоров. Методи Монте Карло за многомерни интеграли и интегрални уравнения и приложения. Дисертация за присъждане на образователна и научна степен “Доктор”. Институт по информационни и комуникационни технологии към Българската академия на науките, Секция „Паралелни алгоритми“, София, 2017. URL: http://www.iict.bas.bg/konkursi/2017/VTodorov/avtoreferat.pdf --> II-2, II-4, III-1