M. Pettee
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Astrophysics and Cosmic Phenomena
- Neutrino Physics Research
Papers in
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- Particle physics theoretical and experimental studies 4
- Neutrino Physics Research 1
- Quantum Chromodynamics and Particle Interactions 1
- High-Energy Particle Collisions Research 1
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- Advanced Vision and Imaging 1
- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- Benjamin Nachman (4 shared papers)V. M. Mikuni (2 shared papers)David Shih (2 shared papers)Gregor Kasieczka (1 shared paper)Liam Parker (2 shared papers)François Lanusse (2 shared papers)Alberto Bietti (2 shared papers)Michael Eickenberg (2 shared papers)
- Journals
- Physical review. D (2 papers)Monthly Notices of the Royal Astronomical Society (2 papers)Journal of High Energy Physics (1 paper)Journal of Instrumentation (1 paper)Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
M. Pettee
7 papers receiving 106 citations
Peers
Comparison fields: 5 of 42
- Nuclear and High Energy Physics 59
- Instrumentation 5
- Artificial Intelligence 35
- Health Informatics 1
- Astronomy and Astrophysics 12
Countries citing papers authored by M. Pettee
This map shows the geographic impact of M. Pettee'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 M. Pettee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Pettee more than expected).
Fields of papers citing papers by M. Pettee
This network shows the impact of papers produced by M. Pettee. 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 M. Pettee. The network helps show where M. Pettee may publish in the future.
Co-authors
The 20 scholars most cited alongside M. Pettee, 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 | 49 | |
| 2 | 2024 | 27 | |
| 3 | 2023 | 16 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2024 | 0 |
About M. Pettee
M. Pettee is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology and Astronomy and Astrophysics, having authored 8 papers that have together received 115 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Computational Physics and Python Applications (2 papers), Advanced Vision and Imaging (1 paper), Neutrino Physics Research (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper), Human Motion and Animation (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and High-Energy Particle Collisions Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (59 citations), Instrumentation (5 citations), Artificial Intelligence (35 citations), Health Informatics (1 citation) and Astronomy and Astrophysics (12 citations). M. Pettee has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Benjamin Nachman, V. M. Mikuni, David Shih, Gregor Kasieczka, Liam Parker, François Lanusse, Alberto Bietti, Michael Eickenberg, Michael T. McCabe and Siavash Golkar. Their work appears in journals such as Physical review. D, Monthly Notices of the Royal Astronomical Society, Journal of High Energy Physics, Journal of Instrumentation and Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
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.