Joshua Batson
Impact in
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- Complexity and Algorithms in Graphs
- Matrix Theory and Algorithms
- Geometry and Topology top 10%
Papers in
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- Graph theory and applications 3
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- SARS-CoV-2 and COVID-19 Research 3
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Nikhil Srivastava (4 shared papers)Daniel A. Spielman (4 shared papers)Shang‐Hua Teng (1 shared paper)Löıc A. Royer (1 shared paper)Amy Kistler (3 shared papers)Gytis Dudas (2 shared papers)Eric J. Haas-Stapleton (1 shared paper)Lucy M. Li (1 shared paper)
- Journals
- Duke Mathematical Journal (1 paper)SIAM Review (1 paper)NeuroImage (1 paper)Biomedicines (1 paper)BMC Public Health (1 paper)
- Partner nations
- United StatesUnited KingdomLithuania
In The Last Decade
Joshua Batson
17 papers receiving 463 citations
Peers
Comparison fields: 5 of 79
- Computational Theory and Mathematics 134
- Geometry and Topology 58
- Discrete Mathematics and Combinatorics 21
- Numerical Analysis 35
- Mathematical Physics 47
Countries citing papers authored by Joshua Batson
This map shows the geographic impact of Joshua Batson'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 Joshua Batson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Batson more than expected).
Fields of papers citing papers by Joshua Batson
This network shows the impact of papers produced by Joshua Batson. 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 Joshua Batson. The network helps show where Joshua Batson may publish in the future.
Co-authors
The 25 scholars most cited alongside Joshua Batson, 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 | 2012 | 101 | |
| 2 | 2013 | 89 | |
| 3 | 2021 | 74 | |
| 4 | 2009 | 73 | |
| 5 | 2019 | 33 | |
| 6 | 2014 | 33 | |
| 7 | 2020 | 26 | |
| 8 | 2015 | 24 | |
| 9 | 2014 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2023 | 3 | |
| 13 | 2007 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2008 | 0 |
About Joshua Batson
Joshua Batson is a scholar working on Geometry and Topology, Infectious Diseases, Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 493 indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (3 papers), Advanced Graph Theory Research (3 papers), Graph theory and applications (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (2 papers), Plant Virus Research Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Matrix Theory and Algorithms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (134 citations), Geometry and Topology (58 citations), Discrete Mathematics and Combinatorics (21 citations), Numerical Analysis (35 citations) and Mathematical Physics (47 citations). Joshua Batson has collaborated with scholars based in United States, United Kingdom and Lithuania. Frequent co-authors include Nikhil Srivastava, Daniel A. Spielman, Shang‐Hua Teng, Löıc A. Royer, Amy Kistler, Gytis Dudas, Eric J. Haas-Stapleton, Lucy M. Li, Hanna Retallack and Kalani Ratnasiri. Their work appears in journals such as Duke Mathematical Journal, SIAM Review, NeuroImage, Biomedicines and BMC Public Health.
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.