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
-
- Statistical Methods and Inference 9
- Random Matrices and Applications 9
- Markov Chains and Monte Carlo Methods 7
-
- Stochastic processes and statistical mechanics 18
- Co-authors
- Quansheng Liu (26 shared papers)Xiequan Fan (12 shared papers)Erich Haeusler (2 shared papers)Qiyu Jin (9 shared papers)Michael Nussbaum (1 shared paper)Mounir Mesbah (3 shared papers)Émile Le Page (6 shared papers)Quansheng Liu (5 shared papers)
In The Last Decade
Ion Grama
49 papers receiving 441 citations
Peers
Comparison fields: 5 of 74
- Statistics and Probability 181
- Mathematical Physics 135
- Finance 118
- Management Science and Operations Research 133
- Numerical Analysis 32
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 21 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 36 | |
| 2 | 2012 | 34 | |
| 3 | 1997 | 31 | |
| 4 | 2017 | 31 | |
| 5 | 2000 | 30 | |
| 6 | 2015 | 29 | |
| 7 | 2006 | 21 | |
| 8 | 2016 | 19 | |
| 9 | 2006 | 17 | |
| 10 | 2015 | 16 | |
| 11 | 2013 | 15 | |
| 12 | 2016 | 15 | |
| 13 | 2003 | 14 | |
| 14 | 2018 | 12 | |
| 15 | 2013 | 11 | |
| 16 | 2012 | 11 | |
| 17 | 2016 | 10 | |
| 18 | 2006 | 10 | |
| 19 | 2016 | 9 | |
| 20 | 2021 | 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 58 papers that have together received 478 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (18 papers), Probability and Risk Models (14 papers), Stochastic processes and financial applications (12 papers), Statistical Methods and Inference (9 papers), Financial Risk and Volatility Modeling (9 papers), Image and Signal Denoising Methods (9 papers), Random Matrices and Applications (9 papers) and Markov Chains and Monte Carlo Methods (7 papers). The work is most often cited by research in Statistics and Probability (181 citations), Mathematical Physics (135 citations), Finance (118 citations), Management Science and Operations Research (133 citations) and Numerical Analysis (32 citations). Ion Grama has collaborated with scholars based in France, China and Germany. Frequent co-authors include Quansheng Liu, Xiequan Fan, Erich Haeusler, Qiyu Jin, Michael Nussbaum, Mounir Mesbah, Émile Le Page, Quansheng Liu, Charles Kervrann 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 Journal of Theoretical 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.