J. Bourbeau
Impact in
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- Particle Detector Development and Performance
- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
- Particle physics theoretical and experimental studies
Papers in ⓘ
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- Particle Detector Development and Performance 3
- Astrophysics and Cosmic Phenomena 3
- Dark Matter and Cosmic Phenomena 1
- Neutrino Physics Research 1
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- Radiation Detection and Scintillator Technologies 2
- Co-authors
- Z. Hampel-Arias (1 shared paper)Richard Vengroff (1 shared paper)Ariel Levi Simons (2 shared papers)Tyler Ruggles (1 shared paper)J. Vandenbroucke (2 shared papers)R. Morgan (1 shared paper)S. Westerhoff (1 shared paper)P. Desiati (1 shared paper)
- Journals
- Astroparticle Physics (1 paper)Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017) (1 paper)The Journal of Open Source Software (1 paper)Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019) (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
J. Bourbeau
5 papers receiving 18 citations
Peers
Comparison fields: 5 of 17
- Nuclear and High Energy Physics 12
- Architecture 1
- Computer Science Applications 3
- Ecological Modeling 1
- Media Technology 2
Countries citing papers authored by J. Bourbeau
This map shows the geographic impact of J. Bourbeau'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 J. Bourbeau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Bourbeau more than expected).
Fields of papers citing papers by J. Bourbeau
This network shows the impact of papers produced by J. Bourbeau. 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 J. Bourbeau. The network helps show where J. Bourbeau may publish in the future.
Co-authors
The 9 scholars most cited alongside J. Bourbeau, 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 | 2018 | 9 | |
| 2 | 2018 | 6 | |
| 3 | In-class vs. On-line and Hybrid Class Participation and Outcomes:Teaching the Introduction to Comparative Politics Class | 2006 | 3 |
| 4 | 2017 | 1 | |
| 5 | 2019 | 1 |
About J. Bourbeau
J. Bourbeau is a scholar working on Nuclear and High Energy Physics, Radiation, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Education, having authored 5 papers that have together received 20 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (3 papers), Astrophysics and Cosmic Phenomena (3 papers), Radiation Detection and Scintillator Technologies (2 papers), Dark Matter and Cosmic Phenomena (1 paper), COVID-19 diagnosis using AI (1 paper), Computational Physics and Python Applications (1 paper), Global Education and Multiculturalism (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (12 citations), Architecture (1 citation), Computer Science Applications (3 citations), Ecological Modeling (1 citation) and Media Technology (2 citations). J. Bourbeau has collaborated with scholars based in United States and Belgium. Frequent co-authors include Z. Hampel-Arias, Richard Vengroff, Ariel Levi Simons, Tyler Ruggles, J. Vandenbroucke, R. Morgan, S. Westerhoff, P. Desiati and A. Pizzuto. Their work appears in journals such as Astroparticle Physics, Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017), The Journal of Open Source Software and Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019).
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.