Ora E. Percus

33 papers receiving 298 citations

Peers

Ora E. Percus
Comparison fields: 5 of 76
  • Virology 27
  • Statistics and Probability 34
  • Mathematical Physics 34
  • Immunology 52
  • Management Science and Operations Research 32
Replace Iqbal H. Jebril with:
Iqbal H. Jebril Jordan
Mehmet Merdan Türkiye
Ankit Garg India
Hossein Kheiri Iran
Edson Pindza South Africa
Animesh Mahata India
Jeffrey Roberts United States
Jerome L. Paul United States
Ora E. Percus relative to Iqbal H. Jebril Jordan Iqbal H. Jebril's profile →
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Citations per year

Countries citing papers authored by Ora E. Percus

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ora E. Percus Line = papers co-authored together Ora E. Percus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993104
2 198939
3 199426
4 200218
5 198514
6 198513
7 200513
8 198511
9 200211
10 199510
11 199010
12 19887
13 19927
14
Performance Differences Among Combining Switch Architectures.
19925
15 19815
16 20094
17 19904
18 19833
19 19703
20 19843

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 331 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (7 papers), Advanced Queuing Theory Analysis (5 papers), Simulation Techniques and Applications (5 papers), Theoretical and Computational Physics (5 papers), Markov Chains and Monte Carlo Methods (4 papers), Diffusion and Search Dynamics (4 papers), Bayesian Methods and Mixture Models (4 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Virology (27 citations), Statistics and Probability (34 citations), Mathematical Physics (34 citations), Immunology (52 citations) and Management Science and Operations Research (32 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, Tony Warnock, Brad Lee Holian, Carla Wofsy, William S. Hlavacek, David T. Ho and David C. Torney. Their work appears in journals such as Journal of Applied Probability, SIAM Journal on Applied Mathematics, Communications on Pure and Applied Mathematics, Advances in Applied Probability and Journal of Parallel and Distributed Computing.

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.

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