Stephen Heil
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Interconnection Networks and Systems
- Advanced Data Storage Technologies
- Software-Defined Networks and 5G
Papers in
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- Parallel Computing and Optimization Techniques 4
- Embedded Systems Design Techniques 1
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- Interconnection Networks and Systems 3
- Co-authors
- Michael Papamichael (5 shared papers)Jeremy Fowers (5 shared papers)Daniel Lo (5 shared papers)Eric S. Chung (5 shared papers)Adrian M. Caulfield (5 shared papers)Doug Burger (5 shared papers)Todd Massengill (5 shared papers)Michael Haselman (4 shared papers)
- Journals
- IEEE Micro (3 papers)
- Partner nations
- United KingdomFinland
In The Last Decade
Stephen Heil
5 papers receiving 749 citations
Stephen Heil's Hit Papers
Peers
Comparison fields: 5 of 47
- Hardware and Architecture 399
- Computer Networks and Communications 352
- Computer Vision and Pattern Recognition 209
- Computational Mathematics 4
- Information Systems 155
Countries citing papers authored by Stephen Heil
This map shows the geographic impact of Stephen Heil'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 Stephen Heil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Heil more than expected).
Fields of papers citing papers by Stephen Heil
This network shows the impact of papers produced by Stephen Heil. 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 Stephen Heil. The network helps show where Stephen Heil may publish in the future.
Co-authors
The 20 scholars most cited alongside Stephen Heil, 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 | A Configurable Cloud-Scale DNN Processor for Real-Time AI Hit paper breakdown → | 2018 | 386 |
| 2 | A cloud-scale acceleration architecture Hit paper breakdown → | 2016 | 343 |
| 3 | 2017 | 22 | |
| 4 | 2019 | 10 | |
| 5 | 2017 | 6 |
About Stephen Heil
Stephen Heil is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 5 papers that have together received 767 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Interconnection Networks and Systems (3 papers), Advanced Neural Network Applications (2 papers), Cloud Computing and Resource Management (2 papers), Advanced Memory and Neural Computing (2 papers), Embedded Systems Design Techniques (1 paper) and CCD and CMOS Imaging Sensors (1 paper). The work is most often cited by research in Hardware and Architecture (399 citations), Computer Networks and Communications (352 citations), Computer Vision and Pattern Recognition (209 citations), Computational Mathematics (4 citations) and Information Systems (155 citations). Stephen Heil has collaborated with scholars based in United Kingdom and Finland. Frequent co-authors include Michael Papamichael, Jeremy Fowers, Daniel Lo, Eric S. Chung, Adrian M. Caulfield, Doug Burger, Todd Massengill, Michael Haselman, Sitaram Lanka and Kalin Ovtcharov. Their work appears in journals such as IEEE Micro.
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.