James Kress
Impact in
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- Computer Graphics and Visualization Techniques
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Data Storage Technologies 11
- Distributed and Parallel Computing Systems 7
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- Scientific Computing and Data Management 5
- Co-authors
- David Pugmire (11 shared papers)Hank Childs (10 shared papers)Scott Klasky (9 shared papers)Matthew Larsen (3 shared papers)Will Usher (1 shared paper)Kwan‐Liu Ma (1 shared paper)Jeremy Meredith (1 shared paper)Chunming Chen (1 shared paper)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)IEEE Computer Graphics and Applications (1 paper)IEEE Transactions on Computers (1 paper)Supercomputing Frontiers and Innovations (1 paper)eScholarship (California Digital Library) (2 papers)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
James Kress
14 papers receiving 164 citations
Peers
Comparison fields: 5 of 31
- Computer Graphics and Computer-Aided Design 39
- Hardware and Architecture 43
- Information Systems and Management 41
- Computer Networks and Communications 96
- Computer Vision and Pattern Recognition 59
Countries citing papers authored by James Kress
This map shows the geographic impact of James Kress'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 James Kress with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Kress more than expected).
Fields of papers citing papers by James Kress
This network shows the impact of papers produced by James Kress. 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 James Kress. The network helps show where James Kress may publish in the future.
Co-authors
The 25 scholars most cited alongside James Kress, 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 | 2016 | 77 | |
| 2 | 2021 | 44 | |
| 3 | 2016 | 11 | |
| 4 | 2015 | 10 | |
| 5 | 2016 | 5 | |
| 6 | 2018 | 5 | |
| 7 | 2016 | 4 | |
| 8 | 2016 | 4 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2020 | 0 |
About James Kress
James Kress is a scholar working on Computer Networks and Communications, Information Systems and Management, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 15 papers that have together received 170 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (11 papers), Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (5 papers), Computer Graphics and Visualization Techniques (3 papers), Cloud Computing and Resource Management (2 papers), Data Visualization and Analytics (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Magnetic confinement fusion research (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (39 citations), Hardware and Architecture (43 citations), Information Systems and Management (41 citations), Computer Networks and Communications (96 citations) and Computer Vision and Pattern Recognition (59 citations). James Kress has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include David Pugmire, Hank Childs, Scott Klasky, Matthew Larsen, Will Usher, Kwan‐Liu Ma, Jeremy Meredith, Chunming Chen, Norbert Podhorszki and Kenneth Moreland. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Computer Graphics and Applications, IEEE Transactions on Computers, Supercomputing Frontiers and Innovations and eScholarship (California Digital Library).
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.