Gabriel Perdue
Impact in
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- Particle physics theoretical and experimental studies
- Neutrino Physics Research
- Artificial Intelligence top 10%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
Papers in
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- Quantum Computing Algorithms and Architecture 9
- Quantum Information and Cryptography 6
- Neural Networks and Reservoir Computing 4
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- Particle physics theoretical and experimental studies 8
- Neutrino Physics Research 5
- Particle Detector Development and Performance 3
- Astrophysics and Cosmic Phenomena 3
- Co-authors
- Andy C. Y. Li (7 shared papers)Alessandro Roggero (1 shared paper)Rajan Gupta (1 shared paper)J. Carlson (1 shared paper)Steven R. Young (4 shared papers)Travis Johnston (2 shared papers)B. Nord (5 shared papers)Robert M. Patton (3 shared papers)
- Journals
- Machine Learning Science and Technology (2 papers)Quantum Machine Intelligence (2 papers)Physical review. A (2 papers)Quantum Science and Technology (1 paper)Physical review. D (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Gabriel Perdue
24 papers receiving 278 citations
Peers
Comparison fields: 5 of 51
- Nuclear and High Energy Physics 65
- Artificial Intelligence 154
- Instrumentation 13
- Computational Mathematics 2
- Atomic and Molecular Physics, and Optics 92
Countries citing papers authored by Gabriel Perdue
This map shows the geographic impact of Gabriel Perdue'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 Gabriel Perdue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Perdue more than expected).
Fields of papers citing papers by Gabriel Perdue
This network shows the impact of papers produced by Gabriel Perdue. 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 Gabriel Perdue. The network helps show where Gabriel Perdue may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel Perdue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 64 | |
| 2 | 2021 | 31 | |
| 3 | 2017 | 30 | |
| 4 | 2020 | 28 | |
| 5 | 2021 | 22 | |
| 6 | 2024 | 20 | |
| 7 | 2022 | 14 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 10 | |
| 10 | 2017 | 10 | |
| 11 | 2023 | 8 | |
| 12 | 2017 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Gabriel Perdue
Gabriel Perdue is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Astronomy and Astrophysics, having authored 30 papers that have together received 290 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Particle physics theoretical and experimental studies (8 papers), Quantum Information and Cryptography (6 papers), Neutrino Physics Research (5 papers), Neural Networks and Reservoir Computing (4 papers), Particle Detector Development and Performance (3 papers), Astrophysics and Cosmic Phenomena (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (65 citations), Artificial Intelligence (154 citations), Instrumentation (13 citations), Computational Mathematics (2 citations) and Atomic and Molecular Physics, and Optics (92 citations). Gabriel Perdue has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Andy C. Y. Li, Alessandro Roggero, Rajan Gupta, J. Carlson, Steven R. Young, Travis Johnston, B. Nord, Robert M. Patton, Sandeep Madireddy and Gregory F. Snyder. Their work appears in journals such as Machine Learning Science and Technology, Quantum Machine Intelligence, Physical review. A, Quantum Science and Technology and Physical review. D.
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.