Jay Sipelstein
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed systems and fault tolerance
Papers in
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- Distributed and Parallel Computing Systems 3
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- Parallel Computing and Optimization Techniques 4
- Co-authors
- Guy E. Blelloch (4 shared papers)Jonathan C. Hardwick (5 shared papers)Marco Zagha (3 shared papers)Siddhartha Chatterjee (3 shared papers)Girija Narlikar (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)Journal of Parallel and Distributed Computing (1 paper)Proceedings of the IEEE (1 paper)Concurrency Practice and Experience (1 paper)
- Partner nations
- United States
In The Last Decade
Jay Sipelstein
6 papers receiving 287 citations
Peers
Comparison fields: 5 of 34
- Hardware and Architecture 271
- Computer Networks and Communications 230
- Computer Graphics and Computer-Aided Design 16
- Artificial Intelligence 123
- Software 12
Countries citing papers authored by Jay Sipelstein
This map shows the geographic impact of Jay Sipelstein'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 Jay Sipelstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Sipelstein more than expected).
Fields of papers citing papers by Jay Sipelstein
This network shows the impact of papers produced by Jay Sipelstein. 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 Jay Sipelstein. The network helps show where Jay Sipelstein may publish in the future.
Co-authors
The 5 scholars most cited alongside Jay Sipelstein, 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 | 1994 | 176 | |
| 2 | 1993 | 72 | |
| 3 | 1991 | 59 | |
| 4 | 1993 | 18 | |
| 5 | Java as an Intermediate Language | 1996 | 5 |
| 6 | 1997 | 1 |
About Jay Sipelstein
Jay Sipelstein is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, General Health Professions and Information Systems and Management, having authored 6 papers that have together received 331 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (3 papers), Algorithms and Data Compression (3 papers), Hermeneutics and Narrative Identity (1 paper), Scientific Computing and Data Management (1 paper), Simulation Techniques and Applications (1 paper), Aging, Elder Care, and Social Issues (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Hardware and Architecture (271 citations), Computer Networks and Communications (230 citations), Computer Graphics and Computer-Aided Design (16 citations), Artificial Intelligence (123 citations) and Software (12 citations). Jay Sipelstein has collaborated with scholars based in United States. Frequent co-authors include Guy E. Blelloch, Jonathan C. Hardwick, Marco Zagha, Siddhartha Chatterjee and Girija Narlikar. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Parallel and Distributed Computing, Proceedings of the IEEE and Concurrency Practice and Experience.
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.