Justin Holmgren
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Information Systems
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Ran CanettiAlex LombardiDaniel WichsVinod VaikuntanathanRon D. RothblumCatherine HavasiRobert E. SpeerYilei Chen
- Topics
- Cryptography and Data Security (9 papers)Complexity and Algorithms in Graphs (7 papers)Security and Verification in Computing (5 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- SIAM Journal on ComputingDROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Justin Holmgren
15 papers receiving 157 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 142
- Computational Theory and Mathematics 83
- Information Systems 32
- Computer Vision and Pattern Recognition 31
- Computer Networks and Communications 13
Countries citing papers authored by Justin Holmgren
This map shows the geographic impact of Justin Holmgren'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 Justin Holmgren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Holmgren more than expected).
Fields of papers citing papers by Justin Holmgren
This network shows the impact of papers produced by Justin Holmgren. 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 Justin Holmgren. The network helps show where Justin Holmgren may publish in the future.
Co-authorship network of co-authors of Justin Holmgren
This figure shows the co-authorship network connecting the top 25 collaborators of Justin Holmgren. A scholar is included among the top collaborators of Justin Holmgren 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 Justin Holmgren. Justin Holmgren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | No-Signaling MIPs and Faster-Than-Light Communication, Revisited. | 1 |
| 5 | 34 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 20 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | 17 | |
| 14 | 18 | |
| 15 | Automated Color Selection Using Semantic Knowledge | 22 |
About Justin Holmgren
Justin Holmgren is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Signal Processing, having authored 15 papers that have together received 170 indexed citations. Recurring topics across this work include Cryptography and Data Security (9 papers), Complexity and Algorithms in Graphs (7 papers) and Security and Verification in Computing (5 papers). The work is most often cited by research in Computational Theory and Mathematics (83 citations), Artificial Intelligence (142 citations) and Computer Vision and Pattern Recognition (31 citations). Justin Holmgren has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Ran Canetti, Alex Lombardi, Daniel Wichs, Vinod Vaikuntanathan, Ron D. Rothblum, Catherine Havasi, Robert E. Speer, Yilei Chen, Guy N. Rothblum and Zvika Brakerski. Their work appears in journals such as SIAM Journal on Computing and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.