Tim Mattson
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
Papers in
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- Parallel Computing and Optimization Techniques 8
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 2
- Advanced Database Systems and Queries 2
- Co-authors
- David Maier (1 shared paper)Bill Howe (1 shared paper)Michael Stonebraker (2 shared papers)Samuel Madden (2 shared papers)Jennie Duggan (2 shared papers)Jeremy Kepner (1 shared paper)Aaron J. Elmore (2 shared papers)Stan Zdonik (1 shared paper)
- Journals
- ACM SIGMOD Record (1 paper)Conference on Innovative Data Systems Research (1 paper)Proceedings of the Python in Science Conferences (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Tim Mattson
11 papers receiving 267 citations
Peers
Comparison fields: 5 of 39
- Hardware and Architecture 59
- Computer Networks and Communications 169
- Signal Processing 58
- Information Systems and Management 36
- Information Systems 96
Countries citing papers authored by Tim Mattson
This map shows the geographic impact of Tim Mattson'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 Tim Mattson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Mattson more than expected).
Fields of papers citing papers by Tim Mattson
This network shows the impact of papers produced by Tim Mattson. 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 Tim Mattson. The network helps show where Tim Mattson may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Mattson, 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 | 2015 | 153 | |
| 2 | 2017 | 38 | |
| 3 | 2008 | 20 | |
| 4 | 2019 | 20 | |
| 5 | 2018 | 18 | |
| 6 | 2006 | 12 | |
| 7 | Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis. | 2017 | 7 |
| 8 | 2005 | 6 | |
| 9 | 2021 | 2 | |
| 10 | 2002 | 1 | |
| 11 | 2015 | 1 | |
| 12 | 2005 | 1 | |
| 13 | The BigDawg Architecture and Reference Implementation | 2015 | 0 |
About Tim Mattson
Tim Mattson is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 279 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Distributed and Parallel Computing Systems (5 papers), Cloud Computing and Resource Management (3 papers), Graph Theory and Algorithms (2 papers), Advanced Graph Neural Networks (2 papers), Scientific Computing and Data Management (2 papers), Advanced Data Storage Technologies (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Hardware and Architecture (59 citations), Computer Networks and Communications (169 citations), Signal Processing (58 citations), Information Systems and Management (36 citations) and Information Systems (96 citations). Tim Mattson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David Maier, Bill Howe, Michael Stonebraker, Samuel Madden, Jennie Duggan, Jeremy Kepner, Aaron J. Elmore, Stan Zdonik, Magda Balazinska and Michael Wrinn. Their work appears in journals such as ACM SIGMOD Record, Conference on Innovative Data Systems Research and Proceedings of the Python in Science Conferences.
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.