Svetoslav Markov
- Statistics and Probability top 2%
- Computational Theory and Mathematics top 5%
- Applied Mathematics top 5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Nikolay KyurkchievАнтон ИлиевRoumen AnguelovPavel BochevZenon KulpaStanko DimitrovChristo I. ChristovMichail D. Todorov
- Topics
- Numerical Methods and Algorithms (18 papers)Gene Regulatory Network Analysis (12 papers)Polynomial and algebraic computation (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaErgonomicsComputers & Mathematics with Applications
- Partner nations
- BulgariaSouth AfricaCzechia
In The Last Decade
Svetoslav Markov
72 papers receiving 771 citations
Peers
Comparison fields: 5 of 107
- Statistics and Probability 244
- Computational Theory and Mathematics 182
- Applied Mathematics 136
- Artificial Intelligence 120
- Management Science and Operations Research 106
Countries citing papers authored by Svetoslav Markov
This map shows the geographic impact of Svetoslav Markov'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 Svetoslav Markov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svetoslav Markov more than expected).
Fields of papers citing papers by Svetoslav Markov
This network shows the impact of papers produced by Svetoslav Markov. 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 Svetoslav Markov. The network helps show where Svetoslav Markov may publish in the future.
Co-authorship network of co-authors of Svetoslav Markov
This figure shows the co-authorship network connecting the top 25 collaborators of Svetoslav Markov. A scholar is included among the top collaborators of Svetoslav Markov 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 Svetoslav Markov. Svetoslav Markov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | ON THE APPROXIMATION OF THE CUT FUNCTIONS BY HYPER–LOG–LOGISTIC FUNCTION | 4 |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 66 | |
| 7 | 31 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | On the Mathematical Modelling of Microbial Growth | 1 |
| 14 | 2 | |
| 15 | 27 | |
| 16 | On the algebraic properties of convex bodies and some applications. | 33 |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 13 |
About Svetoslav Markov
Svetoslav Markov is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation, having authored 80 papers that have together received 829 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (18 papers), Gene Regulatory Network Analysis (12 papers) and Polynomial and algebraic computation (6 papers). The work is most often cited by research in Statistics and Probability (244 citations), Modeling and Simulation (105 citations) and Numerical Analysis (71 citations). Svetoslav Markov has collaborated with scholars based in Bulgaria, South Africa and Czechia. Frequent co-authors include Nikolay Kyurkchiev, Антон Илиев, Roumen Anguelov, Pavel Bochev, Zenon Kulpa, Stanko Dimitrov, Christo I. Christov, Michail D. Todorov, Evgenija D. Popova and Margarita Kambourova. Their work appears in journals such as SHILAP Revista de lepidopterología, Ergonomics and Computers & Mathematics with Applications.
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.