Dan Sunderland
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Accounting top 10%
- Auditing, Earnings Management, Governance
- Corporate Finance and Governance
Papers in
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- Distributed and Parallel Computing Systems 3
- Advanced Data Storage Technologies 2
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- Parallel Computing and Optimization Techniques 3
- Co-authors
- Gregory M. Trompeter (1 shared paper)Rahulkumar Gayatri (1 shared paper)Evan Harvey (1 shared paper)Jonathan Madsen (1 shared paper)Amy Powell (1 shared paper)Jeremiah J Wilke (1 shared paper)Daniel Ibanez (1 shared paper)Nathan Ellingwood (1 shared paper)
- Journals
- Journal of Computational Science (1 paper)Auditing A Journal of Practice & Theory (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)Journal of Emerging Technologies in Accounting (1 paper)International Journal of Parallel Programming (1 paper)
- Partner nations
- United StatesMexicoSwitzerland
In The Last Decade
Dan Sunderland
5 papers receiving 340 citations
Dan Sunderland's Hit Papers
Peers
Comparison fields: 5 of 77
- Hardware and Architecture 112
- Accounting 69
- Computer Networks and Communications 103
- Computational Mathematics 2
- Management Information Systems 25
Countries citing papers authored by Dan Sunderland
This map shows the geographic impact of Dan Sunderland'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 Dan Sunderland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Sunderland more than expected).
Fields of papers citing papers by Dan Sunderland
This network shows the impact of papers produced by Dan Sunderland. 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 Dan Sunderland. The network helps show where Dan Sunderland may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Sunderland, 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 | Kokkos 3: Programming Model Extensions for the Exascale Era Hit paper breakdown → | 2021 | 240 |
| 2 | 2017 | 68 | |
| 3 | 2023 | 26 | |
| 4 | 2018 | 12 | |
| 5 | 2018 | 2 |
About Dan Sunderland
Dan Sunderland is a scholar working on Computer Networks and Communications, Hardware and Architecture, Accounting, Management Information Systems and Information Systems and Management, having authored 5 papers that have together received 348 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Parallel Computing and Optimization Techniques (3 papers), Auditing, Earnings Management, Governance (2 papers), Advanced Data Storage Technologies (2 papers), Imbalanced Data Classification Techniques (1 paper), Financial Distress and Bankruptcy Prediction (1 paper), Ethics in Business and Education (1 paper) and Gas Dynamics and Kinetic Theory (1 paper). The work is most often cited by research in Hardware and Architecture (112 citations), Accounting (69 citations), Computer Networks and Communications (103 citations), Computational Mathematics (2 citations) and Management Information Systems (25 citations). Dan Sunderland has collaborated with scholars based in United States, Mexico and Switzerland. Frequent co-authors include Gregory M. Trompeter, Rahulkumar Gayatri, Evan Harvey, Jonathan Madsen, Amy Powell, Jeremiah J Wilke, Daniel Ibanez, Nathan Ellingwood, Vinh Dang and Jan Ciesko. Their work appears in journals such as Journal of Computational Science, Auditing A Journal of Practice & Theory, IEEE Transactions on Parallel and Distributed Systems, Journal of Emerging Technologies in Accounting and International Journal of Parallel Programming.
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.