Mark Kelbert
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
-
- COVID-19 epidemiological studies 6
- Co-authors
- Yuri Suhov (12 shared papers)IGOR A. SAZONOV (10 shared papers)Mike B. Gravenor (5 shared papers)Alexander Asaturovich Grigor'yan (4 shared papers)Yu. M. Suhov (3 shared papers)Pavel Mozgunov (4 shared papers)Gennady A. Bocharov (2 shared papers)A.G. Wright (2 shared papers)
- Journals
- The Annals of Probability (2 papers)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2 papers)Aequationes Mathematicae (2 papers)Mathematical Biosciences (2 papers)Mathematical Medicine and Biology A Journal of the IMA (2 papers)
- Partner nations
- United KingdomRussiaBrazil
In The Last Decade
Mark Kelbert
45 papers receiving 272 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 62
- Mathematical Physics 43
- Statistics and Probability 37
- Statistical and Nonlinear Physics 40
- Management Science and Operations Research 38
Countries citing papers authored by Mark Kelbert
This map shows the geographic impact of Mark Kelbert'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 Mark Kelbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Kelbert more than expected).
Fields of papers citing papers by Mark Kelbert
This network shows the impact of papers produced by Mark Kelbert. 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 Mark Kelbert. The network helps show where Mark Kelbert may publish in the future.
Co-authors
The 17 scholars most cited alongside Mark Kelbert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 23 | |
| 2 | 2008 | 23 | |
| 3 | 2005 | 23 | |
| 4 | 2011 | 17 | |
| 5 | 2013 | 16 | |
| 6 | 1998 | 16 | |
| 7 | 2013 | 14 | |
| 8 | Markov Chains : a primer in random processes and their applications | 2008 | 11 |
| 9 | 2017 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2017 | 7 | |
| 12 | 2010 | 7 | |
| 13 | 2003 | 7 | |
| 14 | 2006 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2003 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 2000 | 6 | |
| 19 | 2007 | 5 | |
| 20 | 2019 | 5 |
About Mark Kelbert
Mark Kelbert is a scholar working on Statistics and Probability, Modeling and Simulation, Mathematical Physics, Management Science and Operations Research and Applied Mathematics, having authored 50 papers that have together received 281 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), COVID-19 epidemiological studies (6 papers), Stochastic processes and financial applications (5 papers), Geometric Analysis and Curvature Flows (4 papers), Theoretical and Computational Physics (4 papers), Point processes and geometric inequalities (4 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Modeling and Simulation (62 citations), Mathematical Physics (43 citations), Statistics and Probability (37 citations), Statistical and Nonlinear Physics (40 citations) and Management Science and Operations Research (38 citations). Mark Kelbert has collaborated with scholars based in United Kingdom, Russia and Brazil. Frequent co-authors include Yuri Suhov, IGOR A. SAZONOV, Mike B. Gravenor, Alexander Asaturovich Grigor'yan, Yu. M. Suhov, Pavel Mozgunov, Gennady A. Bocharov, A.G. Wright, O. J. Boxma and Stéphane Menozzi. Their work appears in journals such as The Annals of Probability, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Aequationes Mathematicae, Mathematical Biosciences and Mathematical Medicine and Biology A Journal of the IMA.
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.