2026 Dana S. Nau: 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	67	2158	2091	1083	1042	367	23469

Research.com Recognitions

2013 - ACM Fellow For contributions to automated search and planning.
1996 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For contributions to the fields of AI search algorithms, AI planning, and AI applications in design and manufacturing.

Overview

Dana S. Nau is affiliated with the University of Maryland, College Park in the United States. Their research primarily focuses on computer science with an emphasis on artificial intelligence and related subfields.

The main fields of study for Dana S. Nau include:

Computer Science

The subfields of study where Nau has significant contributions are:

Artificial Intelligence
Information Systems
Computer Networks and Communications
Sociology and Political Science
Public Health, Environmental and Occupational Health

Key topics covered in their work include:

AI-based Problem Solving and Planning
Evolutionary Game Theory and Cooperation
Service-Oriented Architecture and Web Services
Logic, Reasoning, and Knowledge
Reinforcement Learning in Robotics
Cultural Differences and Values
Semantic Web and Ontologies

Their publication record includes papers in various venues. Frequent publication venues are:

arXiv (Cornell University)
Proceedings of the International Conference on Automated Planning and Scheduling
Proceedings of the International Florida Artificial Intelligence Research Society Conference
The Lancet Planetary Health
American Psychologist

Recent papers authored or co-authored by Dana S. Nau include:

The relationship between cultural tightness-looseness and COVID-19 cases and deaths: a global analysis (2021), The Lancet Planetary Health
HTN Problem Spaces: Structure, Algorithms, Termination (2021), Proceedings of the International Symposium on Combinatorial Search
Deliberative acting, planning and learning with hierarchical operational models (2021), Artificial Intelligence
Integrating Acting, Planning, and Learning in Hierarchical Operational Models (2020), Proceedings of the International Conference on Automated Planning and Scheduling
Integrating evolutionary game theory and cross-cultural psychology to understand cultural dynamics (2021), American Psychologist

Frequent co-authors who have collaborated with Dana S. Nau include:

Sunandita Patra
Malik Ghallab
Paolo Traverso
Michele J. Gelfand
Xinyue Pan

Dana S. Nau has also contributed to book publications. One known book is:

Acting, Planning, and Learning, to be published by Cambridge University Press in 2025

Among distinctions recognizing their professional contributions are:

ACM Fellow (2013) for contributions to automated search and planning
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (1996) for contributions to AI search algorithms, AI planning, and AI applications in design and manufacturing

Best Publications

Automated Planning, Theory And Practice

Malik Ghallab;Dana S. Nau;Paolo Traverso

3669
Citations
SHOP2: an HTN planning system

Dana Nau;Tsz-Chiu Au;Okhtay Ilghami;Ugur Kuter

1428
Citations
Automated Planning: Theory & Practice

Dana Nau;Malik Ghallab;Paolo Traverso

1388
Citations
HTN planning for Web Service composition using SHOP2

Evren Sirin;Bijan Parsia;Dan Wu;James Hendler

1082
Citations
HTN planning: complexity and expressivity

Kutluhan Erol;James Hendler;Dana S. Nau

1040
Citations
SHOP: Simple Hierarchical Ordered Planner

Dana S. Nau;Yue Cao;Amnon Lotem;Hector Muñoz-Avila

693
Citations
Automating DAML-S web services composition using SHOP2

Dan Wu;Bijan Parsia;Evren Sirin;James Hendler

612
Citations
UMCP: a sound and complete procedure for hierarchical task-network planning

Kutluhan Erol;James Hendler;Dana S. Nau

600
Citations
Diagnostic Expert Systems Based on a Set Covering Model

James A. Reggia;Dana S. Nau;Pearl Y. Wang

560
Citations
Automated Planning and Acting

Malik Ghallab;Dana Nau;Paolo Traverso

509
Citations
Complexity, decidability and undecidability results for domain-independent planning

Kutluhan Erol;Dana S. Nau;V. S. Subrahmanian

336
Citations
On the complexity of blocks-world planning

Naresh Gupta;Dana S. Nau

333
Citations
Semantics for hierarchical task-network planning

Kutluhan Erol;James Hendler;Dana S. Nau

320
Citations
Complexity results for HTN planning

Kutluhan Erol;James Handler;Dana S. Nau

301
Citations
Expert Computer Systems

D. S. Nau

290
Citations
Systematic approach to analysing the manufacturability of machined parts

Satyandra K Gupta;Dana S Nau

265
Citations
Automatic Web Services Composition Using SHOP2

Dan Wu;Evren Sirin;James A Hendler;Dana S Nau

258
Citations
A formal model of diagnostic inference. I. Problem formulation and decomposition

James A. Reggia;Dana S. Nau;Pearl Y. Wang

254
Citations
Societal threat and cultural variation in the strength of social norms: An evolutionary basis

Patrick Roos;Michele Gelfand;Dana Nau;Janetta Lun

254
Citations
Automated manufacturability analysis: a survey

Satyandra K. Gupta;Diganta Das;William C. Regli;Dana S. Nau

223
Citations

Frequent Co-Authors

Satyandra K. Gupta University of Southern California

Paolo Traverso Fondazione Bruno Kessler

James A. Hendler Rensselaer Polytechnic Institute

Héctor Muñoz-Avila Lehigh University

William C. Regli University of Maryland, College Park

V. S. Subrahmanian Dartmouth College

Qiang Yang Hong Kong University of Science and Technology

James A. Reggia University of Maryland, College Park

David W. Aha United States Naval Research Laboratory

Michele J. Gelfand Stanford University

External Links

Wikipedia of Dana S. Nau Personal website of Dana S. Nau Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring online learning options is a smart way to expand your knowledge and boost your computer science career. Many students start with associates degrees online for a fast and affordable entry into tech fields. These programs teach essential skills and are ideal for those who want to join the workforce quickly.

Pathways don’t stop there. For those aiming for business or management roles in tech, an affordable online business degree can provide critical skills in leadership, project management, and entrepreneurship—pairing well with a technical background.

If you're considering advanced study, affordability is often a major concern. Fortunately, there are options like the cheapest online phd programs in usa for research-focused professionals, and the cheapest ed.d online program for those interested in education and leadership roles.

No matter your starting point or ultimate goal, these diverse online degree paths can complement a computer science background and help you reach your career aspirations faster and more affordably.