Phillip D. Stroud
- Artificial Intelligence
- Modeling and Simulation top 5%
- Epidemiology
- Nuclear and High Energy Physics
- Computational Theory and Mathematics
- Co-authors
- Susan M. MniszewskiSara Y. Del ValleJ.G. GilliganJames P. SmithEndre BorosPaul B. KantorJ. GalambosE. Greenspan
- Topics
- COVID-19 epidemiological studies (3 papers)Fusion materials and technologies (3 papers)Magnetic confinement fusion research (3 papers)
- Cited by
- Modeling and SimulationNuclear and High Energy PhysicsStatistics, Probability and Uncertainty
- Journals
- IEEE Transactions on Evolutionary ComputationJournal of the Optical Society of America AJournal of Guidance Control and Dynamics
- Partner nations
- United States
In The Last Decade
Phillip D. Stroud
20 papers receiving 255 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 71
- Modeling and Simulation 69
- Epidemiology 44
- Nuclear and High Energy Physics 41
- Computational Theory and Mathematics 33
Countries citing papers authored by Phillip D. Stroud
This map shows the geographic impact of Phillip D. Stroud'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 Phillip D. Stroud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip D. Stroud more than expected).
Fields of papers citing papers by Phillip D. Stroud
This network shows the impact of papers produced by Phillip D. Stroud. 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 Phillip D. Stroud. The network helps show where Phillip D. Stroud may publish in the future.
Co-authorship network of co-authors of Phillip D. Stroud
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip D. Stroud. A scholar is included among the top collaborators of Phillip D. Stroud based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phillip D. Stroud. Phillip D. Stroud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Identifying security checkpoints locations to protect the major U.S. urban areas | 1 |
| 2 | 1 | |
| 3 | 32 | |
| 4 | 32 | |
| 5 | 29 | |
| 6 | 39 | |
| 7 | 0 | |
| 8 | 57 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 27 | |
| 20 | 6 |
About Phillip D. Stroud
Phillip D. Stroud is a scholar working on Modeling and Simulation, Artificial Intelligence and Nuclear and High Energy Physics, having authored 21 papers that have together received 274 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Fusion materials and technologies (3 papers) and Magnetic confinement fusion research (3 papers). The work is most often cited by research in Modeling and Simulation (69 citations), Nuclear and High Energy Physics (41 citations) and Statistics, Probability and Uncertainty (16 citations). Phillip D. Stroud has collaborated with scholars based in United States. Frequent co-authors include Susan M. Mniszewski, Sara Y. Del Valle, J.G. Gilligan, James P. Smith, Endre Boros, Paul B. Kantor, J. Galambos, E. Greenspan, George H. Miley and G. Guethlein. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Journal of the Optical Society of America A and Journal of Guidance Control and Dynamics.
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.