Ion Grama
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Random Matrices and Applications
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
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- Statistical Methods and Inference 9
- Random Matrices and Applications 9
- Markov Chains and Monte Carlo Methods 6
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- Stochastic processes and statistical mechanics 17
- Co-authors
- Quansheng Liu (26 shared papers)Xiequan Fan (12 shared papers)Erich Haeusler (2 shared papers)Michael Nussbaum (1 shared paper)Qiyu Jin (8 shared papers)Mounir Mesbah (3 shared papers)Émile Le Page (5 shared papers)Charles Kervrann (1 shared paper)
In The Last Decade
Ion Grama
48 papers receiving 414 citations
Peers
Comparison fields: 5 of 76
- Statistics and Probability 171
- Mathematical Physics 132
- Finance 117
- Management Science and Operations Research 131
- Numerical Analysis 31
Countries citing papers authored by Ion Grama
This map shows the geographic impact of Ion Grama'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 Ion Grama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ion Grama more than expected).
Fields of papers citing papers by Ion Grama
This network shows the impact of papers produced by Ion Grama. 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 Ion Grama. The network helps show where Ion Grama may publish in the future.
Co-authors
The 19 scholars most cited alongside Ion Grama, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 36 | |
| 2 | 2012 | 32 | |
| 3 | 1997 | 31 | |
| 4 | 2000 | 29 | |
| 5 | 2017 | 27 | |
| 6 | 2015 | 27 | |
| 7 | 2006 | 21 | |
| 8 | 2016 | 18 | |
| 9 | 2006 | 16 | |
| 10 | 2015 | 16 | |
| 11 | 2016 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2003 | 14 | |
| 14 | 2018 | 11 | |
| 15 | 2012 | 10 | |
| 16 | 2006 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2013 | 9 |
About Ion Grama
Ion Grama is a scholar working on Statistics and Probability, Mathematical Physics, Finance, Management Science and Operations Research and Applied Mathematics, having authored 56 papers that have together received 451 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (17 papers), Probability and Risk Models (14 papers), Stochastic processes and financial applications (12 papers), Financial Risk and Volatility Modeling (9 papers), Statistical Methods and Inference (9 papers), Random Matrices and Applications (9 papers), Image and Signal Denoising Methods (8 papers) and Markov Chains and Monte Carlo Methods (6 papers). The work is most often cited by research in Statistics and Probability (171 citations), Mathematical Physics (132 citations), Finance (117 citations), Management Science and Operations Research (131 citations) and Numerical Analysis (31 citations). Ion Grama has collaborated with scholars based in France, China and Germany. Frequent co-authors include Quansheng Liu, Xiequan Fan, Erich Haeusler, Michael Nussbaum, Qiyu Jin, Mounir Mesbah, Émile Le Page, Charles Kervrann, Quansheng Liu and Marc Peigné. Their work appears in journals such as Stochastic Processes and their Applications, Annales de l Institut Henri Poincaré Probabilités et Statistiques, Comptes Rendus Mathématique, The Annals of Probability and Probability Theory and Related Fields.
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.