Michael Haselman
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
Papers in
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- Parallel Computing and Optimization Techniques 6
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- Advanced Memory and Neural Computing 2
- Co-authors
- Scott Hauck (11 shared papers)Jeremy Fowers (4 shared papers)Kalin Ovtcharov (4 shared papers)Todd Massengill (4 shared papers)Sitaram Lanka (4 shared papers)Stephen Heil (4 shared papers)Doug Burger (4 shared papers)Daniel Lo (4 shared papers)
- Journals
- IEEE Micro (2 papers)IEEE Transactions on Nuclear Science (1 paper)Proceedings of the IEEE (1 paper)PubMed (6 papers)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Michael Haselman
15 papers receiving 996 citations
Michael Haselman's Hit Papers
Peers
Comparison fields: 5 of 58
- Hardware and Architecture 424
- Computer Networks and Communications 372
- Radiation 87
- Computer Vision and Pattern Recognition 216
- Electrical and Electronic Engineering 398
Countries citing papers authored by Michael Haselman
This map shows the geographic impact of Michael Haselman'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 Michael Haselman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Haselman more than expected).
Fields of papers citing papers by Michael Haselman
This network shows the impact of papers produced by Michael Haselman. 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 Michael Haselman. The network helps show where Michael Haselman may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Haselman, 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 | 2009 | 94 | |
| 4 | 2005 | 47 | |
| 5 | 2012 | 25 | |
| 6 | 2007 | 23 | |
| 7 | 2017 | 22 | |
| 8 | 2009 | 19 | |
| 9 | 2010 | 17 | |
| 10 | 2019 | 10 | |
| 11 | 2009 | 10 | |
| 12 | 2008 | 8 | |
| 13 | 2010 | 6 | |
| 14 | 2009 | 6 | |
| 15 | 2008 | 4 |
About Michael Haselman
Michael Haselman is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Nuclear and High Energy Physics and Radiation, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Particle Detector Development and Performance (5 papers), Medical Imaging Techniques and Applications (4 papers), Radiation Detection and Scintillator Technologies (4 papers), Cloud Computing and Resource Management (2 papers), Advanced Data Storage Technologies (2 papers), Advanced Memory and Neural Computing (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Hardware and Architecture (424 citations), Computer Networks and Communications (372 citations), Radiation (87 citations), Computer Vision and Pattern Recognition (216 citations) and Electrical and Electronic Engineering (398 citations). Michael Haselman has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Scott Hauck, Jeremy Fowers, Kalin Ovtcharov, Todd Massengill, Sitaram Lanka, Stephen Heil, Doug Burger, Daniel Lo, Michael Papamichael and Adrian M. Caulfield. Their work appears in journals such as IEEE Micro, IEEE Transactions on Nuclear Science, Proceedings of the IEEE and PubMed.
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.