Krassimir Atanassov

36.3k total citations · 9 hit papers
272 papers, 22.0k citations indexed

About

Krassimir Atanassov is a scholar working on Artificial Intelligence, Management Science and Operations Research and Analytical Chemistry. According to data from OpenAlex, Krassimir Atanassov has authored 272 papers receiving a total of 22.0k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Artificial Intelligence, 91 papers in Management Science and Operations Research and 31 papers in Analytical Chemistry. Recurrent topics in Krassimir Atanassov's work include Intuitionistic Fuzzy Systems Applications (139 papers), Multi-Criteria Decision Making (90 papers) and Fuzzy Logic and Control Systems (39 papers). Krassimir Atanassov is often cited by papers focused on Intuitionistic Fuzzy Systems Applications (139 papers), Multi-Criteria Decision Making (90 papers) and Fuzzy Logic and Control Systems (39 papers). Krassimir Atanassov collaborates with scholars based in Bulgaria, Poland and Australia. Krassimir Atanassov's co-authors include George Gargov, Ronald R. Yager, Gabriella Pasi, R. Parvathi, Vassia Atanassova, Dicho Stratiev, M.G. Karunambigai, Sotir Sotirov, Ivelina Shishkova and Maciej Krawczak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Fuel and Molecules.

In The Last Decade

Krassimir Atanassov

228 papers receiving 20.4k citations

Hit Papers

Intuitionistic fuzzy sets 1986 2026 1999 2012 1986 1989 1999 1989 1999 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Krassimir Atanassov Bulgaria 34 18.4k 6.8k 6.6k 6.1k 5.4k 272 22.0k
Muhammad Akram Pakistan 55 10.1k 0.6× 2.8k 0.4× 3.1k 0.5× 2.0k 0.3× 4.2k 0.8× 560 12.5k
Didier Dubois France 74 10.3k 0.6× 9.2k 1.3× 3.0k 0.5× 5.8k 0.9× 6.6k 1.2× 311 20.7k
Пэйдэ Лю China 74 14.8k 0.8× 3.4k 0.5× 6.7k 1.0× 4.2k 0.7× 4.0k 0.7× 556 18.5k
Harish Garg India 75 15.4k 0.8× 3.8k 0.6× 8.0k 1.2× 5.3k 0.9× 4.6k 0.9× 498 19.7k
Henri Prade France 60 8.2k 0.4× 7.7k 1.1× 2.5k 0.4× 4.8k 0.8× 5.6k 1.0× 245 16.6k
Radko Mesiar Slovakia 58 11.2k 0.6× 4.2k 0.6× 2.3k 0.3× 5.6k 0.9× 6.5k 1.2× 594 15.8k
Humberto Bustince Spain 67 9.3k 0.5× 7.6k 1.1× 2.1k 0.3× 4.3k 0.7× 5.2k 1.0× 392 16.3k
Shyi‐Ming Chen Taiwan 89 16.3k 0.9× 7.9k 1.2× 5.2k 0.8× 5.5k 0.9× 4.4k 0.8× 430 22.6k
Janusz Kacprzyk Poland 51 7.6k 0.4× 6.4k 0.9× 2.3k 0.3× 2.5k 0.4× 3.3k 0.6× 464 14.5k
Florentín Smarandache United States 46 6.9k 0.4× 2.1k 0.3× 2.7k 0.4× 1.5k 0.3× 2.6k 0.5× 952 10.8k

Countries citing papers authored by Krassimir Atanassov

Since Specialization
Citations

This map shows the geographic impact of Krassimir Atanassov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Krassimir Atanassov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krassimir Atanassov more than expected).

Fields of papers citing papers by Krassimir Atanassov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krassimir Atanassov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Krassimir Atanassov. The network helps show where Krassimir Atanassov may publish in the future.

Co-authorship network of co-authors of Krassimir Atanassov

This figure shows the co-authorship network connecting the top 25 collaborators of Krassimir Atanassov. A scholar is included among the top collaborators of Krassimir Atanassov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Krassimir Atanassov. Krassimir Atanassov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Angelova, Maria, Petko Alov, Ivanka Tsakovska, et al.. (2025). Pairwise Performance Comparison of Docking Scoring Functions: Computational Approach Using InterCriteria Analysis. Molecules. 30(13). 2777–2777.
2.
Stratiev, Dicho, Rosen Dinkov, Ivelina Shishkova, et al.. (2025). Feed Variability Effect on Performance of a Commercial Residue Hydrocracker. Processes. 13(11). 3486–3486.
3.
Stratiev, Dicho, Dicho Stratiev, Sotir Sotirov, et al.. (2024). Predicting Petroleum SARA Composition from Density, Sulfur Content, Flash Point, and Simulated Distillation Data Using Regression and Artificial Neural Network Techniques. Processes. 12(8). 1755–1755. 4 indexed citations
4.
Atanassov, Krassimir. (2024). New results on the InterCriteria Analysis. SHILAP Revista de lepidopterología. 30(2). 156–156.
5.
Stratiev, Dicho, et al.. (2024). Generalized Net Model of the Processes in a Petroleum Refinery—Part I: Theoretical Study. Mathematics. 12(19). 3017–3017.
6.
Vassilev, Peter, Lyudmila Todorova, Elenko Popov, et al.. (2023). Two New Modifications of the InterCriteria Analysis. Proceedings of the Bulgarian Academy of Sciences. 76(1). 23–34. 4 indexed citations
7.
Stratiev, Dicho, Dicho Stratiev, Sotir Sotirov, et al.. (2023). Prediction of Refractive Index of Petroleum Fluids by Empirical Correlations and ANN. Processes. 11(8). 2328–2328. 7 indexed citations
8.
Stratiev, Dicho, Svetoslav Nenov, Ivelina Shishkova, et al.. (2023). Prediction of Viscosity of Blends of Heavy Oils with Diluents by Empirical Correlations and Artificial Neural Network. Industrial & Engineering Chemistry Research. 62(49). 21449–21463. 8 indexed citations
9.
Atanassov, Krassimir, et al.. (2023). Generalized Net Model of Heavy Oil Products’ Manufacturing in Petroleum Refinery. Mathematics. 11(23). 4753–4753. 1 indexed citations
10.
Atanassov, Krassimir. (2022). On the intuitionistic fuzzy modal feeble topological structures. Bulgarian Portal for Open Science. 28(3). 211–222. 8 indexed citations
12.
Atanassov, Krassimir, et al.. (2021). Four Distances for Circular Intuitionistic Fuzzy Sets. Mathematics. 9(10). 1121–1121. 54 indexed citations
13.
Stratiev, Dicho, Ivelina Shishkova, Rosen Dinkov, et al.. (2021). Crude Slate, FCC Slurry Oil, Recycle, and Operating Conditions Effects on H-Oil® Product Quality. Processes. 9(6). 952–952. 8 indexed citations
14.
Atanassov, Krassimir. (2021). Third Zadeh’s Intuitionistic Fuzzy Implication. Mathematics. 9(6). 619–619. 7 indexed citations
15.
Shannon, A. G., et al.. (2018). A generalized net model of information flow within a school. UTS ePRESS (University of Technology Sydney).
16.
Atanassov, Krassimir. (2018). n-Dimensional Extended Index Matrices. 21(2). 3 indexed citations
17.
Stratiev, Dicho, Dicho Stratiev, Sotir Sotirov, et al.. (2016). Investigation of relationships between bulk properties and fraction properties of crude oils by application of the intercriteria analysis. Petroleum Science and Technology. 34(13). 1113–1120. 17 indexed citations
18.
Atanassov, Krassimir. (2016). Geometrical Interpretation of the Elements of the Intuitionistic Fuzzy Objects. SHILAP Revista de lepidopterología. 42 indexed citations
19.
Atanassov, Krassimir, et al.. (2015). Generalized Net Model of a Body Temperature Data Logger Embedded System. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Atanassov, Krassimir, et al.. (2006). Generalized net model of an expert system with temporal components. WestminsterResearch (University of Westminster). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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