Kosto V. Mitov
- Mathematical Physics top 5%
- Statistics and Probability top 5%
- Finance top 5%
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Co-authors
- Nikolay M. YanevSaralees NadarajahEdward OmeyGeorge P. YanevOllivier HyrienVladimir VatutinSamuel KotzAnthony G. Pakes
- Topics
- Stochastic processes and statistical mechanics (31 papers)Markov Chains and Monte Carlo Methods (14 papers)Probability and Risk Models (13 papers)
- Partner nations
- BulgariaUnited StatesRussia
In The Last Decade
Kosto V. Mitov
37 papers receiving 246 citations
Peers
Comparison fields: 5 of 45
- Mathematical Physics 186
- Statistics and Probability 109
- Finance 94
- Management Science and Operations Research 57
- Artificial Intelligence 53
Countries citing papers authored by Kosto V. Mitov
This map shows the geographic impact of Kosto V. Mitov'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 Kosto V. Mitov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosto V. Mitov more than expected).
Fields of papers citing papers by Kosto V. Mitov
This network shows the impact of papers produced by Kosto V. Mitov. 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 Kosto V. Mitov. The network helps show where Kosto V. Mitov may publish in the future.
Co-authorship network of co-authors of Kosto V. Mitov
This figure shows the co-authorship network connecting the top 25 collaborators of Kosto V. Mitov. A scholar is included among the top collaborators of Kosto V. Mitov 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 Kosto V. Mitov. Kosto V. Mitov 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 | 9 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | Moments and L-Moments of the Linear Hazard Function Distribution | 1 |
| 11 | 3 | |
| 12 | 4 | |
| 13 | Maximum individual score in critical two-type branching processes | 7 |
| 14 | 8 | |
| 15 | LIMIT THEOREMS FOR REGENERATIVE EXCURSION PROCESSES | 1 |
| 16 | 9 | |
| 17 | 12 | |
| 18 | 7 | |
| 19 | 10 | |
| 20 | 8 |
About Kosto V. Mitov
Kosto V. Mitov is a scholar working on Mathematical Physics, Statistics and Probability and Finance, having authored 42 papers that have together received 264 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (31 papers), Markov Chains and Monte Carlo Methods (14 papers) and Probability and Risk Models (13 papers). The work is most often cited by research in Mathematical Physics (186 citations), Statistics and Probability (109 citations) and Finance (94 citations). Kosto V. Mitov has collaborated with scholars based in Bulgaria, United States and Russia. Frequent co-authors include Nikolay M. Yanev, Saralees Nadarajah, Edward Omey, George P. Yanev, Ollivier Hyrien, Vladimir Vatutin, Samuel Kotz, Anthony G. Pakes and Rein Vesilo. Their work appears in journals such as Biometrics, The Annals of Probability and Journal of Applied Probability.
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.