George G. Roussas
- Statistics and Probability top 0.2%
- Statistical Methods and Inference 21
- Statistical Distribution Estimation and Applications 10
- Advanced Statistical Methods and Models 6
- Fuzzy Systems and Optimization 6
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- Probability and Risk Models 24
- Finance top 1%
- Financial Risk and Volatility Modeling 11
- Stochastic processes and financial applications 9
- Mathematical Physics top 5%
- Artificial Intelligence top 2%
- Bayesian Methods and Mixture Models 16
- Co-authors
- Lanh Tat TranZongwu CaiD. IoannidesSidney YakowitzMarius IosifescuΑνδρέας Ν. ΦιλίππουRichard A. JohnsonG. K. Bhattacharyya
- Journals
- Journal of the American Statistical Association (1 paper)Technometrics (2 papers)The Annals of Statistics (3 papers)
- Partner nations
- United StatesGreeceNetherlands
In The Last Decade
George G. Roussas
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Statistics and Probability 1.4k
- Management Science and Operations Research 763
- Finance 608
- Mathematical Physics 238
- Artificial Intelligence 711
Countries citing papers authored by George G. Roussas
This map shows the geographic impact of George G. Roussas'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 George G. Roussas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George G. Roussas more than expected).
Fields of papers citing papers by George G. Roussas
This network shows the impact of papers produced by George G. Roussas. 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 George G. Roussas. The network helps show where George G. Roussas may publish in the future.
Co-authorship network
The 18 scholars most cited alongside George G. Roussas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Tribute to David Blackwell | 2011 | 1 |
| 2 | 2000 | 5 | |
| 3 | 1999 | 5 | |
| 4 | 1999 | 38 | |
| 5 | 1998 | 36 | |
| 6 | 1997 | 31 | |
| 7 | 1994 | 74 | |
| 8 | 1992 | 11 | |
| 9 | 1992 | 129 | |
| 10 | 1992 | 51 | |
| 11 | 1992 | 49 | |
| 12 | 1990 | 114 | |
| 13 | 1990 | 31 | |
| 14 | 1975 | 1 | |
| 15 | 1975 | 19 | |
| 16 | 1974 | 12 | |
| 17 | 1972 | 160 | |
| 18 | 1969 | 10 | |
| 19 | 1969 | 15 | |
| 20 | 1968 | 11 |
About George G. Roussas
George G. Roussas is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance, having authored 65 papers that have together received 2.1k indexed citations. Recurring topics across this work include Probability and Risk Models (24 papers), Statistical Methods and Inference (21 papers), Bayesian Methods and Mixture Models (16 papers), Financial Risk and Volatility Modeling (11 papers), Statistical Distribution Estimation and Applications (10 papers), Stochastic processes and financial applications (9 papers), Advanced Statistical Methods and Models (6 papers) and Fuzzy Systems and Optimization (6 papers). The work is most often cited by research in Statistics and Probability (1.4k citations), Management Science and Operations Research (763 citations) and Finance (608 citations). George G. Roussas has collaborated with scholars based in United States, Greece and Netherlands. Frequent co-authors include Lanh Tat Tran, Zongwu Cai, D. Ioannides, Sidney Yakowitz, Marius Iosifescu, Ανδρέας Ν. Φιλίππου, Richard A. Johnson, G. K. Bhattacharyya, W. X. Gu and Madan L. Puri. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and The Annals of Statistics.
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.