Trevor Brown
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Optimization and Search Problems
- Interconnection Networks and Systems
- Advanced Database Systems and Queries
Papers in
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- Distributed systems and fault tolerance 21
- Advanced Data Storage Technologies 13
- Optimization and Search Problems 6
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- Parallel Computing and Optimization Techniques 14
- Co-authors
- Faith Ellen (3 shared papers)Eric Ruppert (2 shared papers)Dan Alistarh (3 shared papers)Victor Luchangco (1 shared paper)Yossi Lev (1 shared paper)Alex Kogan (1 shared paper)Ajay Singh (3 shared papers)Aleksandar Prokopec (1 shared paper)
In The Last Decade
Trevor Brown
24 papers receiving 255 citations
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 171
- Computer Networks and Communications 243
- Artificial Intelligence 44
- Software 5
- Information Systems and Management 7
Countries citing papers authored by Trevor Brown
This map shows the geographic impact of Trevor Brown'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 Trevor Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor Brown more than expected).
Fields of papers citing papers by Trevor Brown
This network shows the impact of papers produced by Trevor Brown. 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 Trevor Brown. The network helps show where Trevor Brown may publish in the future.
Co-authors
The 16 scholars most cited alongside Trevor Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 61 | |
| 2 | 2014 | 46 | |
| 3 | 2016 | 25 | |
| 4 | 2018 | 22 | |
| 5 | 2016 | 20 | |
| 6 | 2013 | 18 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2018 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2018 | 5 | |
| 12 | Getting to the root of concurrent binary search tree performance | 2018 | 4 |
| 13 | 2016 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 1990 | 2 | |
| 17 | 2000 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2020 | 1 |
About Trevor Brown
Trevor Brown is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering and Sociology and Political Science, having authored 27 papers that have together received 260 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (21 papers), Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (13 papers), Optimization and Search Problems (6 papers), Advanced Memory and Neural Computing (3 papers), Algorithms and Data Compression (2 papers), Data Stream Mining Techniques (1 paper) and Logic, programming, and type systems (1 paper). The work is most often cited by research in Hardware and Architecture (171 citations), Computer Networks and Communications (243 citations), Artificial Intelligence (44 citations), Software (5 citations) and Information Systems and Management (7 citations). Trevor Brown has collaborated with scholars based in Canada, Israel and Austria. Frequent co-authors include Faith Ellen, Eric Ruppert, Dan Alistarh, Victor Luchangco, Yossi Lev, Alex Kogan, Ajay Singh, Aleksandar Prokopec, Ali José Mashtizadeh and Jong‐Taek Yeom. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Parallel and Distributed Systems, The Yale Law Journal, Electroencephalography and Clinical Neurophysiology and Proceedings of the VLDB Endowment.
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.