Jonathan Dodge
- Health Informatics top 5%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 6
- Genetics top 10%
- Genetic Syndromes and Imprinting 3
- Human-Computer Interaction top 10%
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- Explainable Artificial Intelligence (XAI) 13
- Topic Modeling 3
- Artificial Intelligence in Games 3
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- Ethics and Social Impacts of AI 5
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- Scientific Computing and Data Management 4
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- Advanced Database Systems and Queries 2
- Co-authors
- En LiTaiping ChenYoshihide UedaZhenjuan WangYong‐Kook KangHong LeiHideyuki BeppuMasaki Okano
- Journals
- ACM Transactions on Interactive Intelligent Systems (5 papers)Molecular and Cellular Biology (2 papers)Gene (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Jonathan Dodge
26 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Health Informatics 30
- Molecular Biology 1.2k
- Genetics 317
- Aging 12
- Human-Computer Interaction 33
Countries citing papers authored by Jonathan Dodge
This map shows the geographic impact of Jonathan Dodge'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 Dodge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Dodge more than expected).
Fields of papers citing papers by Jonathan Dodge
This network shows the impact of papers produced by Jonathan Dodge. 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 Dodge. The network helps show where Jonathan Dodge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan Dodge, 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 | 2022 | 8 | |
| 3 | 2021 | 2 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 11 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 36 | |
| 8 | Visualizing and Understanding Atari Agents. | 2018 | 33 |
| 9 | What Should Be in an XAI Explanation? What IFT Reveals. | 2018 | 7 |
| 10 | 2018 | 18 | |
| 11 | 2018 | 21 | |
| 12 | 2009 | 15 | |
| 13 | 2009 | 2 | |
| 14 | Reduce Circuit Zapping From Cosmic Radiation | 2007 | 7 |
| 15 | 2005 | 205 | |
| 16 | 2004 | 299 | |
| 17 | Establishment and Maintenance of Genomic Methylation Patterns in Mouse Embryonic Stem Cells by Dnmt3a and Dnmt3bbreakdown → | 2003 | 569 |
| 18 | 2002 | 86 | |
| 19 | 2001 | 26 | |
| 20 | 1998 | 60 |
About Jonathan Dodge
Jonathan Dodge is a scholar working on Health Informatics, Safety Research and Information Systems and Management, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (13 papers), Epigenetics and DNA Methylation (6 papers), Ethics and Social Impacts of AI (5 papers), Scientific Computing and Data Management (4 papers), Genetic Syndromes and Imprinting (3 papers), Topic Modeling (3 papers), Artificial Intelligence in Games (3 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Health Informatics (30 citations), Molecular Biology (1.2k citations) and Genetics (317 citations). Jonathan Dodge has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include En Li, Taiping Chen, Yoshihide Ueda, Zhenjuan Wang, Yong‐Kook Kang, Hong Lei, Hideyuki Beppu, Masaki Okano, Alan F. List and Frederick A. Dick. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, Molecular and Cellular Biology, Gene, Journal of Biological Chemistry and Knowledge-Based Systems.
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.