Thomas J. Sheffler
- Hardware and Architecture top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Management Science and Operations Research
- Co-authors
- Randal E. BryantDerek L. BeattyKarl S. BraceRobert SchreiberJohn R. GilbertSiddhartha ChatterjeeWilliam PughGary L. Miller
- Topics
- Parallel Computing and Optimization Techniques (9 papers)Interconnection Networks and Systems (6 papers)Distributed and Parallel Computing Systems (3 papers)
- Journals
- Journal of Parallel and Distributed ComputingInternational Journal of Parallel ProgrammingDesign Automation Conference
- Partner nations
- United States
In The Last Decade
Thomas J. Sheffler
12 papers receiving 246 citations
Peers
Comparison fields: 5 of 21
- Hardware and Architecture 214
- Electrical and Electronic Engineering 135
- Computer Networks and Communications 65
- Computational Theory and Mathematics 63
- Management Science and Operations Research 32
Countries citing papers authored by Thomas J. Sheffler
This map shows the geographic impact of Thomas J. Sheffler'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 Thomas J. Sheffler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Sheffler more than expected).
Fields of papers citing papers by Thomas J. Sheffler
This network shows the impact of papers produced by Thomas J. Sheffler. 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 Thomas J. Sheffler. The network helps show where Thomas J. Sheffler may publish in the future.
Co-authorship network of co-authors of Thomas J. Sheffler
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Sheffler. A scholar is included among the top collaborators of Thomas J. Sheffler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas J. Sheffler. Thomas J. Sheffler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | A Portable MPI-Based Parallel Vector Template Library | 5 |
| 7 | Aligning parallel arrays to reduce communication | 1 |
| 8 | 1 | |
| 9 | 6 | |
| 10 | Match and move: an approach to data parallel computing | 4 |
| 11 | Nested Dissection: A Survey | 3 |
| 12 | 4 | |
| 13 | 213 |
About Thomas J. Sheffler
Thomas J. Sheffler is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 13 papers that have together received 262 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Interconnection Networks and Systems (6 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Hardware and Architecture (214 citations), Software (22 citations) and Computational Theory and Mathematics (63 citations). Thomas J. Sheffler has collaborated with scholars based in United States. Frequent co-authors include Randal E. Bryant, Derek L. Beatty, Karl S. Brace, Robert Schreiber, John R. Gilbert, Siddhartha Chatterjee, William Pugh, Gary L. Miller and Leonid Oliker. Their work appears in journals such as Journal of Parallel and Distributed Computing, International Journal of Parallel Programming and Design Automation Conference.
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.