P. Oscar Boykin
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Information Systems top 2%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Vwani RoychowdhuryTal MorFarrokh VatanN. SarsharRenato FigueiredoArijit GangulyAbhishek AgrawalDavid Isaac Wolinsky
- Topics
- Peer-to-Peer Network Technologies (23 papers)Caching and Content Delivery (20 papers)Quantum Computing Algorithms and Architecture (11 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsAtomic and Molecular Physics, and Optics
- Partner nations
- United StatesIsraelCanada
In The Last Decade
P. Oscar Boykin
41 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 774
- Computer Networks and Communications 498
- Atomic and Molecular Physics, and Optics 450
- Information Systems 273
- Statistical and Nonlinear Physics 177
Countries citing papers authored by P. Oscar Boykin
This map shows the geographic impact of P. Oscar Boykin'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 P. Oscar Boykin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Oscar Boykin more than expected).
Fields of papers citing papers by P. Oscar Boykin
This network shows the impact of papers produced by P. Oscar Boykin. 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 P. Oscar Boykin. The network helps show where P. Oscar Boykin may publish in the future.
Co-authorship network of co-authors of P. Oscar Boykin
This figure shows the co-authorship network connecting the top 25 collaborators of P. Oscar Boykin. A scholar is included among the top collaborators of P. Oscar Boykin 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 P. Oscar Boykin. P. Oscar Boykin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 16 | |
| 8 | 35 | |
| 9 | 17 | |
| 10 | 37 | |
| 11 | 50 | |
| 12 | 79 | |
| 13 | Scalable and Reliable Collaborative Spam Filters: Harnessing the Global Social Email Networks. | 11 |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 86 | |
| 17 | 39 | |
| 18 | Information security and quantum mechanics: security of quantum protocols | 6 |
| 19 | 123 | |
| 20 | 41 |
About P. Oscar Boykin
P. Oscar Boykin is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (23 papers), Caching and Content Delivery (20 papers) and Quantum Computing Algorithms and Architecture (11 papers). The work is most often cited by research in Artificial Intelligence (774 citations), Computer Networks and Communications (498 citations) and Atomic and Molecular Physics, and Optics (450 citations). P. Oscar Boykin has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Vwani Roychowdhury, Tal Mor, Farrokh Vatan, N. Sarshar, Renato Figueiredo, Arijit Ganguly, Abhishek Agrawal, David Isaac Wolinsky, R. B. Vrijen and Michel Boyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review A and Computer.
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.