Alexander Gegov
- Artificial Intelligence top 2%
- Management Science and Operations Research top 1%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 2%
- Statistics and Probability top 2%
- Co-authors
- Mihaela CoceaHan LiuDavid SandersRaheleh JafariSina RazvarzBhagawati Prasad JoshiPaul M. FrankJasper Graham‐Jones
- Topics
- Fuzzy Logic and Control Systems (44 papers)Multi-Criteria Decision Making (26 papers)Neural Networks and Applications (26 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityArtificial Intelligence
- Partner nations
- United KingdomBulgariaMexico
In The Last Decade
Alexander Gegov
121 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 521
- Management Science and Operations Research 462
- Control and Systems Engineering 345
- Computational Theory and Mathematics 198
- Statistics and Probability 189
Countries citing papers authored by Alexander Gegov
This map shows the geographic impact of Alexander Gegov'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 Alexander Gegov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Gegov more than expected).
Fields of papers citing papers by Alexander Gegov
This network shows the impact of papers produced by Alexander Gegov. 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 Alexander Gegov. The network helps show where Alexander Gegov may publish in the future.
Co-authorship network of co-authors of Alexander Gegov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Gegov. A scholar is included among the top collaborators of Alexander Gegov 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 Alexander Gegov. Alexander Gegov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 6 | |
| 15 | J-measure based hybrid pruning for complexity reduction in classification rules | 7 |
| 16 | Implementation of a fuzzy model for computation of margins in cancer treatment | 0 |
| 17 | Model optimisation for complex systems using fuzzy networks theory | 2 |
| 18 | Complex systems modelling by rule based networks | 2 |
| 19 | Advanced Inference in Fuzzy Systems by Rule Base Compression. | 5 |
| 20 | Complexity Management in Fuzzy Systems: A Rule Base Compression Approach (Studies in Fuzziness and Soft Computing) | 24 |
About Alexander Gegov
Alexander Gegov is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability, having authored 136 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (44 papers), Multi-Criteria Decision Making (26 papers) and Neural Networks and Applications (26 papers). The work is most often cited by research in Management Science and Operations Research (462 citations), Statistics and Probability (189 citations) and Artificial Intelligence (521 citations). Alexander Gegov has collaborated with scholars based in United Kingdom, Bulgaria and Mexico. Frequent co-authors include Mihaela Cocea, Han Liu, David Sanders, Raheleh Jafari, Sina Razvarz, Bhagawati Prasad Joshi, Paul M. Frank, Han Liu, Jasper Graham‐Jones and Mo Adda. Their work appears in journals such as European Journal of Operational Research, IEEE Access and IEEE Transactions on Fuzzy Systems.
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.