2026 David W. Aha: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	56	3953	3841	1878	1811	258	23955

Research.com Recognitions

2017 - AAAI Robert S. Engelmore Memorial Lecture Award For pioneering research contributions and high-impact applications in autonomous systems, machine learning, and case-based reasoning, and for extensive contributions to AAAI, including educating the broader AI community through AAAI doctoral consortia and video competitions.

Overview

David W. Aha is affiliated with the United States Naval Research Laboratory in the United States. Their research primarily spans the field of Computer Science with a strong emphasis on Artificial Intelligence, covering 14 publications in this subfield along with additional works in Electrical and Electronic Engineering, Computational Theory and Mathematics, Safety, Risk, Reliability and Quality, and Social Psychology.

The main topics addressed in their research include:

AI-based Problem Solving and Planning
Imbalanced Data Classification Techniques
Explainable Artificial Intelligence (XAI)
Multi-Agent Systems and Negotiation
Machine Learning in Healthcare
Speech and Dialogue Systems
Electricity Theft Detection Techniques

Recent publications by David W. Aha reflect these thematic interests and research areas. Selected papers include:

Understanding imbalanced data: XAI & interpretable ML framework, 2024, published in Machine Learning
Interpretable ML for Imbalanced Data, 2022, published on arXiv (Cornell University)
Self-directed Learning of Action Models using Exploratory Planning, 2022, published on arXiv (Cornell University)
Tight Bounds for HTN Planning with Task Insertion (Extended Abstract), 2021, published in Proceedings of the International Symposium on Combinatorial Search
Human-Centric Goal Reasoning with Ripple-Down Rules, 2024, published on arXiv (Cornell University)

The most frequent publication venues for their work are:

arXiv (Cornell University)
Machine Learning
Proceedings of the International Symposium on Combinatorial Search

David W. Aha has collaborated regularly with several co-authors across these publications, including:

Colin Bellinger
Bartosz Krawczyk
Nitesh V. Chawla
Damien Dablain
Divya Srivastava

Recognition of David W. Aha's contributions includes the AAAI Robert S. Engelmore Memorial Lecture Award in 2017, awarded for pioneering research contributions in autonomous systems, machine learning, and case-based reasoning. The award also highlighted efforts in educating the AI community through doctoral consortia and video competitions organized by AAAI.

Best Publications

Instance-Based Learning Algorithms

David W. Aha;Dennis Kibler;Marc K. Albert

7111
Citations
Instance-based learning algorithms

Unknown

3295
Citations
DARPA’s Explainable Artificial Intelligence (XAI) Program

David Gunning;David W. Aha

1203
Citations
A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms

Dietrich Wettschereck;David W. Aha;Takao Mohri

1079
Citations
Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms

David W. Aha

651
Citations
A Comparative Evaluation of Sequential Feature Selection Algorithms

David W. Aha;Richard L. Bankert

604
Citations
Lazy learning

David W. Aha

604
Citations
Simplifying decision trees: A survey

Leonard A. Breslow;David W. Aha

540
Citations
Weighting Features

Dietrich Wettschereck;David W. Aha

360
Citations
Generalizing from case studies: a case study

David W. Aha

349
Citations
Intelligent lessons learned systems

Rosina Weber;David W. Aha;Irma Becerra-Fernandez

342
Citations
Conversational Case-Based Reasoning

David W. Aha;Leonard A. Breslow;Héctor Muñoz-Avila

301
Citations
Case-Based Learning Algorithms

David W. Aha

278
Citations
Learning to win: case-based plan selection in a real-time strategy game

David W. Aha;Matthew Molineaux;Marc Ponsen

269
Citations
Learning Representative Exemplars of Concepts: An Initial Case Study

Dennis Kibler;David W. Aha

266
Citations
Feature Selection for Case-Based Classification of Cloud Types: An Empirical Comparison

David W. Aha;Richard L. Bankert

256
Citations
The omnipresence of case-based reasoning in science and application

David W. Aha

243
Citations
Instance-based prediction of real-valued attributes

D. Kibler;D. W. Aha;M. K. Albert

233
Citations
Refining Conversational Case Libraries

David W. Aha;Len Breslow

211
Citations
A study of instance-based algorithms for supervised learning tasks: mathematical, empirical, and psychological evaluations

David William Aha;Dennis F. Kibler

200
Citations
Conversational case-based reasoning

David W. Aha

9
Citations

Frequent Co-Authors

Héctor Muñoz-Avila Lehigh University

Dana S. Nau University of Maryland, College Park

Frederick E. Petry United States Naval Research Laboratory

Ian Watson University of Auckland

Steven L. Salzberg Johns Hopkins University

Michael M. Cox University of Wisconsin–Madison

Charles X. Ling University of Western Ontario

J. Gregory Trafton United States Naval Research Laboratory

Simon Kasif Boston University

Gideon Dror Academic College of Tel Aviv-Yafo

External Links

Personal website of David W. Aha Google Scholar page

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