Russ Cox
- Computer Networks and Communications top 1%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Frans KaashoekRobert MorrisFrank DabekBryan FordSean RheaJinyang LiAustin T. ClementsEddie Kohler
- Topics
- Caching and Content Delivery (4 papers)Advanced Data Storage Technologies (4 papers)Peer-to-Peer Network Technologies (3 papers)
- Journals
- ACM SIGCOMM Computer Communication ReviewDigital Access to Scholarship at Harvard (DASH) (Harvard University)USENIX Security Symposium
- Partner nations
- United StatesBermudaCanada
In The Last Decade
Russ Cox
11 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 1.1k
- Information Systems 283
- Artificial Intelligence 218
- Signal Processing 119
- Statistical and Nonlinear Physics 85
Countries citing papers authored by Russ Cox
This map shows the geographic impact of Russ Cox'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 Russ Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Russ Cox more than expected).
Fields of papers citing papers by Russ Cox
This network shows the impact of papers produced by Russ Cox. 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 Russ Cox. The network helps show where Russ Cox may publish in the future.
Co-authorship network of co-authors of Russ Cox
This figure shows the co-authorship network connecting the top 25 collaborators of Russ Cox. A scholar is included among the top collaborators of Russ Cox 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 Russ Cox. Russ Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Vx32: lightweight user-level sandboxing on the x86 | 87 |
| 2 | Fast, inexpensive content-addressed storage in foundation | 74 |
| 3 | 27 | |
| 4 | 1 | |
| 5 | File Synchronization with Vector Time Pairs | 4 |
| 6 | 155 | |
| 7 | 84 | |
| 8 | Vivaldibreakdown → | 754 |
| 9 | Security in Plan 9 | 21 |
| 10 | Communication Timestamps for File System Synchronization | 1 |
| 11 | 1 |
About Russ Cox
Russ Cox is a scholar working on Computer Networks and Communications, Conservation and Hardware and Architecture, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Caching and Content Delivery (4 papers), Advanced Data Storage Technologies (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Information Systems (283 citations) and Computational Mathematics (7 citations). Russ Cox has collaborated with scholars based in United States, Bermuda and Canada. Frequent co-authors include Frans Kaashoek, Robert Morris, Frank Dabek, Bryan Ford, Sean Rhea, Jinyang Li, Austin T. Clements, Eddie Kohler, Tom Bergan and Sean Quinlan. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Digital Access to Scholarship at Harvard (DASH) (Harvard University) and USENIX Security Symposium.
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.