David Gunning
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Machine Learning in Healthcare
- Anomaly Detection Techniques and Applications
- Topic Modeling
- Machine Learning and Data Classification
Papers in
-
- Explainable Artificial Intelligence (XAI) 4
- AI-based Problem Solving and Planning 3
- Topic Modeling 2
- Semantic Web and Ontologies 2
-
- Human-Automation Interaction and Safety 3
- Co-authors
- David W. Aha (1 shared paper)Guang‐Zhong Yang (1 shared paper)Mark Stefik (1 shared paper)Jaesik Choi (1 shared paper)Tim Miller (1 shared paper)Simone Stumpf (1 shared paper)Eric S. Vorm (1 shared paper)Yunyan Wang (1 shared paper)
- Journals
- AI Magazine (5 papers)Science Robotics (1 paper)Behaviour and Information Technology (1 paper)Proceedings of the Human Factors Society Annual Meeting (2 papers)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David Gunning
13 papers receiving 2.6k citations
David Gunning's Hit Papers
Peers
Comparison fields: 5 of 168
- Health Informatics 324
- Artificial Intelligence 1.5k
- Safety Research 354
- Information Systems and Management 128
- Health Information Management 74
Countries citing papers authored by David Gunning
This map shows the geographic impact of David Gunning'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 David Gunning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gunning more than expected).
Fields of papers citing papers by David Gunning
This network shows the impact of papers produced by David Gunning. 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 David Gunning. The network helps show where David Gunning may publish in the future.
Co-authors
The 25 scholars most cited alongside David Gunning, 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 | XAI—Explainable artificial intelligence Hit paper breakdown → | 2019 | 1358 |
| 2 | DARPA's Explainable Artificial Intelligence Program Hit paper breakdown → | 2019 | 764 |
| 3 | DARPA's explainable artificial intelligence (XAI) program Hit paper breakdown → | 2019 | 387 |
| 4 | 2021 | 110 | |
| 5 | 2010 | 51 | |
| 6 | 2010 | 10 | |
| 7 | 2014 | 10 | |
| 8 | 1993 | 8 | |
| 9 | 2003 | 7 | |
| 10 | 2016 | 4 | |
| 11 | 1978 | 3 | |
| 12 | 1980 | 2 | |
| 13 | 2015 | 1 |
About David Gunning
David Gunning is a scholar working on Artificial Intelligence, Social Psychology, Information Systems, Information Systems and Management and Radiological and Ultrasound Technology, having authored 13 papers that have together received 2.7k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (4 papers), AI-based Problem Solving and Planning (3 papers), Human-Automation Interaction and Safety (3 papers), Topic Modeling (2 papers), Semantic Web and Ontologies (2 papers), Scientific Computing and Data Management (2 papers), Quality Function Deployment in Product Design (1 paper) and Air Traffic Management and Optimization (1 paper). The work is most often cited by research in Health Informatics (324 citations), Artificial Intelligence (1.5k citations), Safety Research (354 citations), Information Systems and Management (128 citations) and Health Information Management (74 citations). David Gunning has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David W. Aha, Guang‐Zhong Yang, Mark Stefik, Jaesik Choi, Tim Miller, Simone Stumpf, Eric S. Vorm, Yunyan Wang, Vinay K. Chaudhri and Bruce Porter. Their work appears in journals such as AI Magazine, Science Robotics, Behaviour and Information Technology, Proceedings of the Human Factors Society Annual Meeting and DOAJ (DOAJ: Directory of Open Access Journals).
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.