Daniel Lo
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 10
- Embedded Systems Design Techniques 4
- Real-Time Systems Scheduling 3
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- Interconnection Networks and Systems 4
- Co-authors
- Jeremy Fowers (5 shared papers)Todd Massengill (5 shared papers)Stephen Heil (5 shared papers)Doug Burger (6 shared papers)Michael Papamichael (5 shared papers)Adrian M. Caulfield (6 shared papers)Eric S. Chung (5 shared papers)Kalin Ovtcharov (4 shared papers)
- Journals
- IEEE Micro (3 papers)Proceedings of the ACM on Programming Languages (1 paper)eCommons (Cornell University) (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Daniel Lo
13 papers receiving 849 citations
Daniel Lo's Hit Papers
Peers
Comparison fields: 5 of 47
- Hardware and Architecture 457
- Computer Networks and Communications 403
- Computer Vision and Pattern Recognition 213
- Information Systems 166
- Artificial Intelligence 239
Countries citing papers authored by Daniel Lo
This map shows the geographic impact of Daniel Lo'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 Daniel Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lo more than expected).
Fields of papers citing papers by Daniel Lo
This network shows the impact of papers produced by Daniel Lo. 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 Daniel Lo. The network helps show where Daniel Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lo, 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 | 2010 | 52 | |
| 4 | 2017 | 22 | |
| 5 | 2015 | 20 | |
| 6 | 2019 | 10 | |
| 7 | 2014 | 9 | |
| 8 | 2023 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2015 | 5 | |
| 11 | 2016 | 5 | |
| 12 | 2012 | 3 | |
| 13 | 2024 | 2 |
About Daniel Lo
Daniel Lo is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 869 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Embedded Systems Design Techniques (4 papers), Interconnection Networks and Systems (4 papers), Real-Time Systems Scheduling (3 papers), Green IT and Sustainability (2 papers), Cloud Computing and Resource Management (2 papers), Advanced Memory and Neural Computing (2 papers) and Radiation Effects in Electronics (2 papers). The work is most often cited by research in Hardware and Architecture (457 citations), Computer Networks and Communications (403 citations), Computer Vision and Pattern Recognition (213 citations), Information Systems (166 citations) and Artificial Intelligence (239 citations). Daniel Lo has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Jeremy Fowers, Todd Massengill, Stephen Heil, Doug Burger, Michael Papamichael, Adrian M. Caulfield, Eric S. Chung, Kalin Ovtcharov, Sitaram Lanka and Michael Haselman. Their work appears in journals such as IEEE Micro, Proceedings of the ACM on Programming Languages and eCommons (Cornell University).
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.