Robert Adolf
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 3
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- Advanced Neural Network Applications 3
- Graph Theory and Algorithms 2
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- Advanced Memory and Neural Computing 2
- Ferroelectric and Negative Capacitance Devices 2
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- Neural Networks and Applications 2
- Machine Learning and Data Classification 2
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Gu-Yeon WeiBrandon ReagenDavid BrooksJosé Miguel Hernández-LobatoSaketh RamaSae Kyu LeeHyunkwang LeePaul N. Whatmough
- Journals
- IEEE Micro (1 paper)Gastroenterology (1 paper)Apollo (University of Cambridge) (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Robert Adolf
11 papers receiving 755 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Hardware and Architecture 347
- Computer Vision and Pattern Recognition 295
- Computational Mathematics 8
- Computer Networks and Communications 190
- Electrical and Electronic Engineering 427
Countries citing papers authored by Robert Adolf
This map shows the geographic impact of Robert Adolf'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 Robert Adolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Adolf more than expected).
Fields of papers citing papers by Robert Adolf
This network shows the impact of papers produced by Robert Adolf. 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 Robert Adolf. The network helps show where Robert Adolf may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Robert Adolf, 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 | 2023 | 4 | |
| 2 | 2017 | 48 | |
| 3 | 2017 | 13 | |
| 4 | 2017 | 9 | |
| 5 | 2017 | 5 | |
| 6 | 2016 | 305 | |
| 7 | 2016 | 178 | |
| 8 | MachSuite: Benchmarks for accelerator design and customized architecturesbreakdown → | 2014 | 208 |
| 9 | 2013 | 1 | |
| 10 | 2012 | 4 | |
| 11 | High performance semantic factoring of giga-scale semantic graph databases. | 2010 | 8 |
About Robert Adolf
Robert Adolf is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 11 papers that have together received 783 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Advanced Neural Network Applications (3 papers), Neural Networks and Applications (2 papers), Graph Theory and Algorithms (2 papers), Advanced Memory and Neural Computing (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Machine Learning and Data Classification (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Hardware and Architecture (347 citations), Computer Vision and Pattern Recognition (295 citations), Computational Mathematics (8 citations), Computer Networks and Communications (190 citations) and Electrical and Electronic Engineering (427 citations). Robert Adolf has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gu-Yeon Wei, Brandon Reagen, David Brooks, José Miguel Hernández-Lobato, Saketh Rama, Sae Kyu Lee, Hyunkwang Lee, Paul N. Whatmough, Yakun Sophia Shao and D. Brooks. Their work appears in journals such as IEEE Micro, Gastroenterology, Apollo (University of Cambridge) and ACM SIGARCH Computer Architecture News.
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.