Nikolay M. Yanev
- Mathematical Physics top 5%
- Statistics and Probability top 5%
- Artificial Intelligence
- Finance top 10%
- Condensed Matter Physics
- Co-authors
- Kosto V. MitovAndrei Y. YakovlevOllivier HyrienAndrei YakovlevSaralees NadarajahVladimir VatutinManuel MolinaJames Palis
- Topics
- Stochastic processes and statistical mechanics (40 papers)Bayesian Methods and Mixture Models (13 papers)Markov Chains and Monte Carlo Methods (12 papers)
- Journals
- Journal of the American Statistical AssociationNonlinear AnalysisJournal of Mathematical Biology
- Partner nations
- BulgariaUnited StatesCanada
In The Last Decade
Nikolay M. Yanev
43 papers receiving 294 citations
Peers
Comparison fields: 5 of 43
- Mathematical Physics 256
- Statistics and Probability 132
- Artificial Intelligence 76
- Finance 67
- Condensed Matter Physics 59
Countries citing papers authored by Nikolay M. Yanev
This map shows the geographic impact of Nikolay M. Yanev'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 Nikolay M. Yanev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolay M. Yanev more than expected).
Fields of papers citing papers by Nikolay M. Yanev
This network shows the impact of papers produced by Nikolay M. Yanev. 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 Nikolay M. Yanev. The network helps show where Nikolay M. Yanev may publish in the future.
Co-authorship network of co-authors of Nikolay M. Yanev
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay M. Yanev. A scholar is included among the top collaborators of Nikolay M. Yanev 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 Nikolay M. Yanev. Nikolay M. Yanev 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 | 3 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | Robust Estimation and Simulation of Branching Processes | 1 |
| 13 | Branching Processes with Multi-Type Random Control Functions | 1 |
| 14 | Continuous time bisexual branching processes | 8 |
| 15 | RELIABILITY FOR BETA MODELS | 11 |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 10 | |
| 20 | 8 |
About Nikolay M. Yanev
Nikolay M. Yanev is a scholar working on Mathematical Physics, Statistics and Probability and Finance, having authored 48 papers that have together received 319 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (40 papers), Bayesian Methods and Mixture Models (13 papers) and Markov Chains and Monte Carlo Methods (12 papers). The work is most often cited by research in Mathematical Physics (256 citations), Statistics and Probability (132 citations) and Finance (67 citations). Nikolay M. Yanev has collaborated with scholars based in Bulgaria, United States and Canada. Frequent co-authors include Kosto V. Mitov, Andrei Y. Yakovlev, Ollivier Hyrien, Andrei Yakovlev, Saralees Nadarajah, Vladimir Vatutin, Manuel Molina, James Palis, Scott A. Peslak and Craig T. Jordan. Their work appears in journals such as Journal of the American Statistical Association, Nonlinear Analysis and Journal of Mathematical Biology.
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.