Nathan Pemberton
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- VLSI and Analog Circuit Testing
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- Interconnection Networks and Systems
- Advanced Data Storage Technologies
Papers in
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- Software-Defined Networks and 5G 2
- Interconnection Networks and Systems 2
- Software System Performance and Reliability 1
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- Parallel Computing and Optimization Techniques 3
- VLSI and Analog Circuit Testing 2
- Embedded Systems Design Techniques 2
- Co-authors
- Alon Amid (5 shared papers)Sagar Karandikar (5 shared papers)Krste Asanović (5 shared papers)Borivoje Nikolić (4 shared papers)David Biancolin (4 shared papers)Howard Mao (4 shared papers)Colin Schmidt (4 shared papers)Albert Magyar (2 shared papers)
- Journals
- IEEE Micro (2 papers)UC Berkeley (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Nathan Pemberton
7 papers receiving 379 citations
Nathan Pemberton's Hit Papers
Peers
Comparison fields: 5 of 39
- Hardware and Architecture 251
- Computer Networks and Communications 152
- Artificial Intelligence 80
- Electrical and Electronic Engineering 141
- Software 9
Countries citing papers authored by Nathan Pemberton
This map shows the geographic impact of Nathan Pemberton'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 Nathan Pemberton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Pemberton more than expected).
Fields of papers citing papers by Nathan Pemberton
This network shows the impact of papers produced by Nathan Pemberton. 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 Nathan Pemberton. The network helps show where Nathan Pemberton may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Pemberton, 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 | Chipyard: Integrated Design, Simulation, and Implementation Framework for Custom SoCs Hit paper breakdown → | 2020 | 210 |
| 2 | 2018 | 150 | |
| 3 | 2019 | 8 | |
| 4 | 2019 | 7 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 5 | |
| 7 | 2021 | 2 |
About Nathan Pemberton
Nathan Pemberton is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Electrical and Electronic Engineering and Information Systems and Management, having authored 7 papers that have together received 388 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (3 papers), Parallel Computing and Optimization Techniques (3 papers), VLSI and Analog Circuit Testing (2 papers), Software-Defined Networks and 5G (2 papers), Embedded Systems Design Techniques (2 papers), Interconnection Networks and Systems (2 papers), Software System Performance and Reliability (1 paper) and VLSI and FPGA Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (251 citations), Computer Networks and Communications (152 citations), Artificial Intelligence (80 citations), Electrical and Electronic Engineering (141 citations) and Software (9 citations). Nathan Pemberton has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Alon Amid, Sagar Karandikar, Krste Asanović, Borivoje Nikolić, David Biancolin, Howard Mao, Colin Schmidt, Albert Magyar, Paul Rigge and Albert Ou. Their work appears in journals such as IEEE Micro and UC Berkeley.
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.