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
- Machine Learning and Data Classification 14
- Machine Learning and Algorithms 13
- Artificial Intelligence in Games 13
- Reinforcement Learning in Robotics 12
- Co-authors
- Dennis KiblerMarc K. AlbertDavid GunningTakao MohriDietrich WettschereckLeonard A. BreslowHéctor Muñoz‐AvilaMatthew Molineaux
- Journals
- AI Magazine (7 papers)Machine Learning (3 papers)The Knowledge Engineering Review (3 papers)Artificial Intelligence Review (3 papers)Artificial Intelligence (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
David W. Aha
145 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Artificial Intelligence 5.9k
- Information Systems 1.9k
- Signal Processing 835
- Computer Vision and Pattern Recognition 1.6k
- Software 285
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | Towards Deception Detection in a Language-Driven Game. | 2017 | 3 |
| 2 | Using Deep Learning to Automate Feature Modeling in Learning by Observation. | 2017 | 1 |
| 3 | Dimensionality Reduced Reinforcement Learning for Assistive Robots. | 2016 | 6 |
| 4 | ActorSim, A Toolkit for Studying Cross-Disciplinary Challenges in Autonomy. | 2016 | 3 |
| 5 | Trust-guided behavior adaptation using case-based reasoning | 2015 | 4 |
| 6 | Coordinating Robot Teams for Disaster Relief | 2015 | 6 |
| 7 | Case-Based Behavior Adaptation Using an Inverse Trust Metric | 2014 | 2 |
| 8 | Extending Word Highlighting in Multiparticipant Chat | 2013 | 1 |
| 9 | User Authentication from Web Browsing Behavior | 2013 | 36 |
| 10 | 2009 | 50 | |
| 11 | Beating the Defense: Using Plan Recognition to Inform Learning Agents | 2009 | 17 |
| 12 | Case-Based Collective Classification | 2007 | 14 |
| 13 | SiN: integrating case-based reasoning with task decomposition | 2001 | 29 |
| 14 | Active Case-Based Reasoning for Lessons Delivery System | 2000 | 12 |
| 15 | HICAP: an interactive case-based planning architecture and its application to noncombatant evacuation operations | 1999 | 42 |
| 16 | The AAAI-99 KM/CBR Workshop: Summary of Contributions. | 1999 | 4 |
| 17 | 1996 | 0 | |
| 18 | Analyses of instance-based learning algorithms | 1991 | 15 |
| 19 | A study of instance-based algorithms for supervised learning tasks : mathematical, empirical, and psychological evaluations | 1990 | 57 |
| 20 | Noise-tolerant instance-based learning algorithms | 1989 | 71 |
About David W. Aha
David W. Aha is a scholar working on Artificial Intelligence, Information Systems, Software, Health Informatics and Information Systems and Management, having authored 150 papers that have together received 9.2k 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), Machine Learning and Data Classification (14 papers), Machine Learning and Algorithms (13 papers), Artificial Intelligence in Games (13 papers) and Reinforcement Learning in Robotics (12 papers). The work is most often cited by research in Artificial Intelligence (5.9k citations), Information Systems (1.9k citations), Signal Processing (835 citations), Computer Vision and Pattern Recognition (1.6k citations) and Software (285 citations). David W. Aha has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Dennis Kibler, Marc K. Albert, David Gunning, Takao Mohri, Dietrich Wettschereck, Leonard A. Breslow, Héctor Muñoz‐Avila, Matthew Molineaux, Rosina O. Weber and Richard L. Bankert. Their work appears in journals such as AI Magazine, Machine Learning, The Knowledge Engineering Review, Artificial Intelligence Review and Artificial 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.