Jonathan R. Walsh
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- Particle physics theoretical and experimental studies 19
- High-Energy Particle Collisions Research 15
- Quantum Chromodynamics and Particle Interactions 13
- Dark Matter and Cosmic Phenomena 3
- Particle Detector Development and Performance 2
- Health Informatics top 10%
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories 2
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- Spacecraft Design and Technology 3
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- Health Systems, Economic Evaluations, Quality of Life 3
- Co-authors
- Stephen EllisChristopher K. VermilionFrank J. TackmannSaba ZuberiChristopher LeeAndrew HornigC. BauerMaximilian Stahlhofen
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jonathan R. Walsh
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Nuclear and High Energy Physics 1.4k
- Health Informatics 15
- Astronomy and Astrophysics 167
- Instrumentation 12
- Computational Mathematics 2
Countries citing papers authored by Jonathan R. Walsh
This map shows the geographic impact of Jonathan R. Walsh'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 Jonathan R. Walsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan R. Walsh more than expected).
Fields of papers citing papers by Jonathan R. Walsh
This network shows the impact of papers produced by Jonathan R. Walsh. 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 Jonathan R. Walsh. The network helps show where Jonathan R. Walsh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan R. Walsh, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 28 | |
| 6 | 2023 | 0 | |
| 7 | 2020 | 47 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 7 | |
| 10 | Using deep learning for comprehensive, personalized forecasting of Alzheimer's Disease progression. | 2018 | 1 |
| 11 | 2016 | 46 | |
| 12 | 2015 | 74 | |
| 13 | 2014 | 20 | |
| 14 | 2013 | 76 | |
| 15 | Non-global structure of the O(α2s) dijet soft function | 2012 | 36 |
| 16 | 2012 | 29 | |
| 17 | 2010 | 34 | |
| 18 | 2009 | 162 | |
| 19 | 2008 | 25 | |
| 20 | 2008 | 33 |
About Jonathan R. Walsh
Jonathan R. Walsh is a scholar working on Health Informatics, Nuclear and High Energy Physics and Architecture, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (19 papers), High-Energy Particle Collisions Research (15 papers), Quantum Chromodynamics and Particle Interactions (13 papers), Spacecraft Design and Technology (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Dark Matter and Cosmic Phenomena (3 papers), Particle Detector Development and Performance (2 papers) and Cosmology and Gravitation Theories (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.4k citations), Health Informatics (15 citations) and Astronomy and Astrophysics (167 citations). Jonathan R. Walsh has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stephen Ellis, Christopher K. Vermilion, Frank J. Tackmann, Saba Zuberi, Christopher Lee, Andrew Hornig, C. Bauer, Maximilian Stahlhofen, Jonathan R. Gaunt and Iain W. Stewart. Their work appears in journals such as Science, Journal of Cleaner Production and Physics Letters B.
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.