Brian Van Essen
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 9
- Embedded Systems Design Techniques 5
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- Distributed and Parallel Computing Systems 7
- Advanced Data Storage Technologies 6
- Interconnection Networks and Systems 5
- Artificial Intelligence top 5%
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- Advanced Neural Network Applications 8
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- Scientific Computing and Data Management 5
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- Cloud Computing and Resource Management 4
- Co-authors
- Maya GokhaleNikoli DrydenTim MoonSam Adé JacobsRyan PrengerRoger PearceCarl EbelingScott Hauck
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)BMC Bioinformatics (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Brian Van Essen
32 papers receiving 748 citations
Peers
Comparison fields: 5 of 80
- Hardware and Architecture 220
- Computer Networks and Communications 299
- Artificial Intelligence 333
- Computer Vision and Pattern Recognition 201
- Information Systems and Management 48
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 18 | |
| 2 | 2021 | 24 | |
| 3 | 2021 | 7 | |
| 4 | 2020 | 26 | |
| 5 | 2018 | 46 | |
| 6 | 2018 | 32 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 52 | |
| 9 | 2015 | 50 | |
| 10 | 2014 | 3 | |
| 11 | DI-MMAP: A High Performance Memory-Map Runtime providing scalable out-of-core execution for Data-Intensive Applications | 2013 | 1 |
| 12 | 2012 | 125 | |
| 13 | 2012 | 17 | |
| 14 | 2012 | 34 | |
| 15 | 2012 | 16 | |
| 16 | On the role of NVRAM in data intensive HPC architectures | 2011 | 3 |
| 17 | 2010 | 3 | |
| 18 | 2009 | 19 | |
| 19 | 2009 | 81 | |
| 20 | Macah: A "C-Level" Language for Programming Kernels on Coprocessor Accelerators | 2008 | 2 |
About Brian Van Essen
Brian Van Essen is a scholar working on Hardware and Architecture, Information Systems and Management, Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 32 papers that have together received 773 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), Scientific Computing and Data Management (5 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Hardware and Architecture (220 citations), Computer Networks and Communications (299 citations), Artificial Intelligence (333 citations), Computer Vision and Pattern Recognition (201 citations) and Information Systems and Management (48 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 IEEE Transactions on Parallel and Distributed Systems, BMC Bioinformatics, Nature Machine Intelligence, Frontiers in Neuroscience and The International Journal of High Performance Computing Applications.
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.