Ora E. Percus
Impact in
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- HIV Research and Treatment
- Statistics and Probability top 10%
Papers in
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- Markov Chains and Monte Carlo Methods 4
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- Bayesian Methods and Mixture Models 4
- Co-authors
- J. K. Percus (27 shared papers)Alan S. Perelson (4 shared papers)Malvin H. Kalos (1 shared paper)Paula A. Whitlock (2 shared papers)Brad Lee Holian (1 shared paper)Tony Warnock (1 shared paper)Carla Wofsy (1 shared paper)William S. Hlavacek (1 shared paper)
- Journals
- Journal of Applied Probability (6 papers)SIAM Journal on Applied Mathematics (5 papers)Communications on Pure and Applied Mathematics (4 papers)Journal of Parallel and Distributed Computing (2 papers)Advances in Applied Probability (2 papers)
- Partner nations
- United States
In The Last Decade
Ora E. Percus
33 papers receiving 298 citations
Peers
Comparison fields: 5 of 76
- Virology 31
- Statistics and Probability 34
- Mathematical Physics 34
- Management Science and Operations Research 32
- Immunology 54
Countries citing papers authored by Ora E. Percus
This map shows the geographic impact of Ora E. Percus'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 Ora E. Percus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ora E. Percus more than expected).
Fields of papers citing papers by Ora E. Percus
This network shows the impact of papers produced by Ora E. Percus. 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 Ora E. Percus. The network helps show where Ora E. Percus may publish in the future.
Co-authors
The 12 scholars most cited alongside Ora E. Percus, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 104 | |
| 2 | 1989 | 40 | |
| 3 | 1994 | 26 | |
| 4 | 2002 | 18 | |
| 5 | 1985 | 14 | |
| 6 | 2005 | 13 | |
| 7 | 1985 | 13 | |
| 8 | 1985 | 11 | |
| 9 | 2002 | 11 | |
| 10 | 1995 | 10 | |
| 11 | 1990 | 10 | |
| 12 | 1992 | 7 | |
| 13 | 1988 | 7 | |
| 14 | Performance Differences Among Combining Switch Architectures. | 1992 | 5 |
| 15 | 1981 | 5 | |
| 16 | 2009 | 4 | |
| 17 | 1990 | 4 | |
| 18 | 1983 | 3 | |
| 19 | 1970 | 3 | |
| 20 | 1984 | 3 |
About Ora E. Percus
Ora E. Percus is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Molecular Biology and Mathematical Physics, having authored 36 papers that have together received 332 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (7 papers), Advanced Queuing Theory Analysis (5 papers), Theoretical and Computational Physics (5 papers), Simulation Techniques and Applications (5 papers), Diffusion and Search Dynamics (4 papers), Bayesian Methods and Mixture Models (4 papers), Markov Chains and Monte Carlo Methods (4 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Virology (31 citations), Statistics and Probability (34 citations), Mathematical Physics (34 citations), Management Science and Operations Research (32 citations) and Immunology (54 citations). Ora E. Percus has collaborated with scholars based in United States. Frequent co-authors include J. K. Percus, Alan S. Perelson, Malvin H. Kalos, Paula A. Whitlock, Brad Lee Holian, Tony Warnock, Carla Wofsy, William S. Hlavacek, Michele Di Mascio and David T. Ho. Their work appears in journals such as Journal of Applied Probability, SIAM Journal on Applied Mathematics, Communications on Pure and Applied Mathematics, Journal of Parallel and Distributed Computing and Advances in Applied 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.