David Gunning

4.1k citations
13 papers · 2.4k · 3 hit papers · h-index 8

Impact in

    • Artificial Intelligence in Healthcare and Education
    • 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

David Gunning

13 papers receiving 2.3k citations

David Gunning's Hit Papers

DARPA's Explainable Artificial Intelligence Program 2019 · 642 citations
6420+2+4Years since publication4008001.2k

Peers

David Gunning
Comparison fields: 5 of 168
  • Health Informatics 277
  • Artificial Intelligence 1.3k
  • Safety Research 286
  • Information Systems and Management 108
  • Health Information Management 60
Replace José M. Alonso with:
José M. Alonso Spain
Mohammed Berrada Morocco
Jaesik Choi South Korea
Anna Monreale Italy
Franco Turini Italy
Dan Su China
Yin Lou United States
Amina Adadi Morocco
Roberto Confalonieri Spain
Riccardo Guidotti Italy
David Gunning relative to José M. Alonso Spain José M. Alonso's profile →
Citations per field
00.5×1.5×2.3×
José M. Alonso · 1×
Citations per year

Countries citing papers authored by David Gunning

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Gunning Line = papers co-authored together David Gunning links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
XAI—Explainable artificial intelligence
Hit paper breakdown →
20191214
2
DARPA's Explainable Artificial Intelligence Program
Hit paper breakdown →
2019642
3
DARPA's explainable artificial intelligence (XAI) program
Hit paper breakdown →
2019350
4 202198
5 201041
6 201410
7 20108
8 19937
9 20036
10 19783
11 20163
12 20151
13 19801

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 2.4k 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 (277 citations), Artificial Intelligence (1.3k citations), Safety Research (286 citations), Information Systems and Management (108 citations) and Health Information Management (60 citations). David Gunning has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David W. Aha, Jaesik Choi, Simone Stumpf, Mark Stefik, Guang‐Zhong Yang, Tim Miller, Eric S. Vorm, Yunyan Wang, Vinay K. Chaudhri and Peter E. Clark. Their work appears in journals such as AI Magazine, Behaviour and Information Technology, Science Robotics, DOAJ (DOAJ: Directory of Open Access Journals) and Proceedings of the Human Factors Society Annual Meeting.

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.

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