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 10
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- Distributed and Parallel Computing Systems 6
- Advanced Data Storage Technologies 3
- Advanced Database Systems and Queries 2
- Co-authors
- Michael Stonebraker (2 shared papers)Stan Zdonik (1 shared paper)Bill Howe (1 shared paper)Aaron J. Elmore (3 shared papers)David Maier (1 shared paper)Magda Balazinska (1 shared paper)Jennie Duggan (2 shared papers)Jeremy Kepner (1 shared paper)
- Journals
- ACM SIGMOD Record (1 paper)Lecture notes in computer science (1 paper)eScholarship (California Digital Library) (1 paper)Proceedings of the Python in Science Conferences (1 paper)Conference on Innovative Data Systems Research (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Tim Mattson
16 papers receiving 342 citations
Peers
Comparison fields: 5 of 44
- Hardware and Architecture 83
- Computer Networks and Communications 227
- Signal Processing 70
- Information Systems and Management 42
- Information Systems 111
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 | 185 | |
| 2 | 2017 | 41 | |
| 3 | 2008 | 24 | |
| 4 | 2018 | 22 | |
| 5 | 2019 | 20 | |
| 6 | Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis. | 2017 | 19 |
| 7 | 2010 | 15 | |
| 8 | 2006 | 14 | |
| 9 | 2005 | 6 | |
| 10 | 2005 | 2 | |
| 11 | 2014 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2015 | 2 | |
| 14 | 2015 | 1 | |
| 15 | 2002 | 1 | |
| 16 | The BigDawg Architecture and Reference Implementation | 2015 | 1 |
| 17 | 2018 | 1 |
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 17 papers that have together received 358 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (6 papers), Cloud Computing and Resource Management (3 papers), Advanced Data Storage Technologies (3 papers), Advanced Database Systems and Queries (2 papers), Graph Theory and Algorithms (2 papers), Scientific Computing and Data Management (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Hardware and Architecture (83 citations), Computer Networks and Communications (227 citations), Signal Processing (70 citations), Information Systems and Management (42 citations) and Information Systems (111 citations). Tim Mattson has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Michael Stonebraker, Stan Zdonik, Bill Howe, Aaron J. Elmore, David Maier, Magda Balazinska, Jennie Duggan, Jeremy Kepner, Samuel Madden and Michael Wrinn. Their work appears in journals such as ACM SIGMOD Record, Lecture notes in computer science, eScholarship (California Digital Library), Proceedings of the Python in Science Conferences and Conference on Innovative Data Systems Research.
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.