Brian Van Essen
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Interconnection Networks and Systems
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
Papers in
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- Distributed and Parallel Computing Systems 7
- Advanced Data Storage Technologies 6
- Interconnection Networks and Systems 5
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- Parallel Computing and Optimization Techniques 9
- Embedded Systems Design Techniques 5
- Co-authors
- Maya Gokhale (8 shared papers)Nikoli Dryden (6 shared papers)Tim Moon (7 shared papers)Sam Adé Jacobs (8 shared papers)Ryan Prenger (1 shared paper)Roger Pearce (5 shared papers)Carl Ebeling (5 shared papers)Scott Hauck (4 shared papers)
- Journals
- The International Journal of High Performance Computing Applications (1 paper)Frontiers in Neuroscience (1 paper)Future Generation Computer Systems (1 paper)Nature Machine Intelligence (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Brian Van Essen
32 papers receiving 810 citations
Peers
Comparison fields: 5 of 78
- Hardware and Architecture 243
- Computer Networks and Communications 327
- Artificial Intelligence 354
- Computer Vision and Pattern Recognition 215
- Information Systems and Management 50
Countries citing papers authored by Brian Van Essen
This map shows the geographic impact of Brian Van Essen'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 Brian Van Essen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Van Essen more than expected).
Fields of papers citing papers by Brian Van Essen
This network shows the impact of papers produced by Brian Van Essen. 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 Brian Van Essen. The network helps show where Brian Van Essen may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Van Essen, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 136 | |
| 2 | 2016 | 93 | |
| 3 | 2009 | 90 | |
| 4 | 2016 | 55 | |
| 5 | 2015 | 53 | |
| 6 | 2018 | 50 | |
| 7 | 2012 | 36 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 29 | |
| 10 | 2020 | 26 | |
| 11 | 2021 | 24 | |
| 12 | 2019 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2022 | 22 | |
| 15 | 2016 | 21 | |
| 16 | 2009 | 20 | |
| 17 | 2012 | 18 | |
| 18 | 2012 | 16 | |
| 19 | 2019 | 13 | |
| 20 | 2017 | 8 |
About Brian Van Essen
Brian Van Essen is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 32 papers that have together received 834 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Advanced Neural Network Applications (8 papers), Distributed and Parallel Computing Systems (7 papers), Advanced Data Storage Technologies (6 papers), Embedded Systems Design Techniques (5 papers), Interconnection Networks and Systems (5 papers), Cloud Computing and Resource Management (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Hardware and Architecture (243 citations), Computer Networks and Communications (327 citations), Artificial Intelligence (354 citations), Computer Vision and Pattern Recognition (215 citations) and Information Systems and Management (50 citations). Brian Van Essen has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Maya Gokhale, Nikoli Dryden, Tim Moon, Sam Adé Jacobs, Ryan Prenger, Roger Pearce, Carl Ebeling, Scott Hauck, Naoya Maruyama and Sasha Ames. Their work appears in journals such as The International Journal of High Performance Computing Applications, Frontiers in Neuroscience, Future Generation Computer Systems, Nature Machine Intelligence and BMC Bioinformatics.
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.