Jean Pichon-Pharabod
- Hardware and Architecture top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Information Systems
- Computational Theory and Mathematics
- Co-authors
- Peter SewellAndreas RossbergChristopher PulteJeehoon KangChung-Kil HurLars BirkedalPhilippa GardnerB. K. Campbell
- Topics
- Parallel Computing and Optimization Techniques (6 papers)Distributed systems and fault tolerance (5 papers)Security and Verification in Computing (5 papers)
- Journals
- ACM SIGPLAN NoticesProceedings of the ACM on Programming LanguagesEdinburgh Research Explorer (University of Edinburgh)
- Partner nations
- United KingdomDenmarkGermany
In The Last Decade
Jean Pichon-Pharabod
10 papers receiving 112 citations
Peers
Comparison fields: 5 of 16
- Hardware and Architecture 73
- Computer Networks and Communications 69
- Artificial Intelligence 69
- Information Systems 20
- Computational Theory and Mathematics 14
Countries citing papers authored by Jean Pichon-Pharabod
This map shows the geographic impact of Jean Pichon-Pharabod'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 Jean Pichon-Pharabod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Pichon-Pharabod more than expected).
Fields of papers citing papers by Jean Pichon-Pharabod
This network shows the impact of papers produced by Jean Pichon-Pharabod. 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 Jean Pichon-Pharabod. The network helps show where Jean Pichon-Pharabod may publish in the future.
Co-authorship network of co-authors of Jean Pichon-Pharabod
This figure shows the co-authorship network connecting the top 25 collaborators of Jean Pichon-Pharabod. A scholar is included among the top collaborators of Jean Pichon-Pharabod 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 Jean Pichon-Pharabod. Jean Pichon-Pharabod is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 22 | |
| 8 | 15 | |
| 9 | 42 | |
| 10 | 4 |
About Jean Pichon-Pharabod
Jean Pichon-Pharabod is a scholar working on Hardware and Architecture, Artificial Intelligence and Signal Processing, having authored 10 papers that have together received 115 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Distributed systems and fault tolerance (5 papers) and Security and Verification in Computing (5 papers). The work is most often cited by research in Hardware and Architecture (73 citations), Software (12 citations) and Computer Networks and Communications (69 citations). Jean Pichon-Pharabod has collaborated with scholars based in United Kingdom, Denmark and Germany. Frequent co-authors include Peter Sewell, Andreas Rossberg, Christopher Pulte, Jeehoon Kang, Chung-Kil Hur, Lars Birkedal, Philippa Gardner, B. K. Campbell, Deepak Garg and Derek Dreyer. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages and Edinburgh Research Explorer (University of Edinburgh).
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.