David W. Aha
Impact in
- Artificial Intelligence top 0.1%
- Machine Learning and Data Classification
- AI-based Problem Solving and Planning
- Imbalanced Data Classification Techniques
- Machine Learning and Algorithms
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Information Systems top 0.2%
- Data Mining Algorithms and Applications
Papers in
-
- AI-based Problem Solving and Planning 63
- Semantic Web and Ontologies 27
- Multi-Agent Systems and Negotiation 22
- Logic, Reasoning, and Knowledge 18
- Artificial Intelligence in Games 14
- Machine Learning and Data Classification 14
- Machine Learning and Algorithms 13
- Reinforcement Learning in Robotics 13
- Co-authors
- Dennis Kibler (6 shared papers)Marc K. Albert (4 shared papers)David Gunning (1 shared paper)Dietrich Wettschereck (2 shared papers)Takao Mohri (2 shared papers)Leonard A. Breslow (5 shared papers)Héctor Muñoz‐Avila (13 shared papers)Matthew Molineaux (21 shared papers)
- Journals
- AI Magazine (7 papers)The Knowledge Engineering Review (3 papers)Machine Learning (3 papers)Artificial Intelligence Review (3 papers)Applied Intelligence (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David W. Aha
145 papers receiving 8.5k citations
David W. Aha's Hit Papers
Peers
Comparison fields: 5 of 201
- Artificial Intelligence 5.8k
- Information Systems 1.9k
- Signal Processing 829
- Computer Vision and Pattern Recognition 1.5k
- Software 286
Countries citing papers authored by David W. Aha
This map shows the geographic impact of David W. Aha'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 W. Aha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Aha more than expected).
Fields of papers citing papers by David W. Aha
This network shows the impact of papers produced by David W. Aha. 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 W. Aha. The network helps show where David W. Aha may publish in the future.
Co-authors
The 25 scholars most cited alongside David W. Aha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Instance-Based Learning Algorithms Hit paper breakdown → | 1991 | 2769 |
| 2 | Instance-based learning algorithms Hit paper breakdown → | 1991 | 2270 |
| 3 | DARPA's Explainable Artificial Intelligence Program Hit paper breakdown → | 2019 | 642 |
| 4 | 1997 | 496 | |
| 5 | 1992 | 255 | |
| 6 | Lazy learning | 1997 | 241 |
| 7 | 1997 | 196 | |
| 8 | 1997 | 119 | |
| 9 | 1998 | 106 | |
| 10 | 2001 | 104 | |
| 11 | 1989 | 98 | |
| 12 | 2001 | 91 | |
| 13 | Feature Selection for Case-Based Classification of Cloud Types: An Empirical Comparison | 1994 | 89 |
| 14 | Noise-tolerant instance-based learning algorithms | 1989 | 71 |
| 15 | Special Issue on Lazy Learning | 1997 | 67 |
| 16 | A study of instance-based algorithms for supervised learning tasks : mathematical, empirical, and psychological evaluations | 1990 | 57 |
| 17 | 2010 | 56 | |
| 18 | 2003 | 55 | |
| 19 | 2009 | 50 | |
| 20 | 1997 | 50 |
About David W. Aha
David W. Aha is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Social Psychology, having authored 150 papers that have together received 9.3k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (63 papers), Semantic Web and Ontologies (27 papers), Multi-Agent Systems and Negotiation (22 papers), Logic, Reasoning, and Knowledge (18 papers), Artificial Intelligence in Games (14 papers), Machine Learning and Data Classification (14 papers), Machine Learning and Algorithms (13 papers) and Reinforcement Learning in Robotics (13 papers). The work is most often cited by research in Artificial Intelligence (5.8k citations), Information Systems (1.9k citations), Signal Processing (829 citations), Computer Vision and Pattern Recognition (1.5k citations) and Software (286 citations). David W. Aha has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dennis Kibler, Marc K. Albert, David Gunning, Dietrich Wettschereck, Takao Mohri, Leonard A. Breslow, Héctor Muñoz‐Avila, Matthew Molineaux, Rosina O. Weber and Richard L. Bankert. Their work appears in journals such as AI Magazine, The Knowledge Engineering Review, Machine Learning, Artificial Intelligence Review and Applied Intelligence.
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.