Daniel Grubb
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- VLSI and Analog Circuit Testing
-
- Interconnection Networks and Systems
- Advanced Data Storage Technologies
Papers in
-
- Embedded Systems Design Techniques 2
- Parallel Computing and Optimization Techniques 2
- VLSI and Analog Circuit Testing 2
-
- Ferroelectric and Negative Capacitance Devices 2
- Semiconductor materials and devices 1
- VLSI and FPGA Design Techniques 1
- Electrowetting and Microfluidic Technologies 1
- Advanced Memory and Neural Computing 1
- Co-authors
- Krste Asanović (5 shared papers)John Wright (4 shared papers)Borivoje Nikolić (5 shared papers)Harrison Liew (4 shared papers)Colin Schmidt (4 shared papers)Jerry Zhao (4 shared papers)Nathan Pemberton (2 shared papers)Albert Magyar (2 shared papers)
- Journals
- IEEE Micro (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Daniel Grubb
5 papers receiving 281 citations
Daniel Grubb's Hit Papers
Peers
Comparison fields: 5 of 38
- Hardware and Architecture 163
- Computer Networks and Communications 82
- Electrical and Electronic Engineering 113
- Artificial Intelligence 64
- Computational Mathematics 1
Countries citing papers authored by Daniel Grubb
This map shows the geographic impact of Daniel Grubb'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 Grubb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Grubb more than expected).
Fields of papers citing papers by Daniel Grubb
This network shows the impact of papers produced by Daniel Grubb. 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 Grubb. The network helps show where Daniel Grubb may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Grubb, 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 | 246 |
| 2 | 2022 | 17 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 7 | |
| 5 | 2025 | 2 |
About Daniel Grubb
Daniel Grubb is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Media Technology, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 5 papers that have together received 283 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Parallel Computing and Optimization Techniques (2 papers), VLSI and Analog Circuit Testing (2 papers), Semiconductor materials and devices (1 paper), VLSI and FPGA Design Techniques (1 paper), Electrowetting and Microfluidic Technologies (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Hardware and Architecture (163 citations), Computer Networks and Communications (82 citations), Electrical and Electronic Engineering (113 citations), Artificial Intelligence (64 citations) and Computational Mathematics (1 citation). Daniel Grubb has collaborated with scholars based in United States and Germany. Frequent co-authors include Krste Asanović, John Wright, Borivoje Nikolić, Harrison Liew, Colin Schmidt, Jerry Zhao, Nathan Pemberton, Albert Magyar, Albert J. Ou and Howard Mao. Their work appears in journals such as IEEE Micro and arXiv (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.