2026 Andy Podgurski: 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	40	9365	9095	3972	3808	98	6101

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

9365

9095

3972

3808

6101

Overview

Andy Podgurski is affiliated with Case Western Reserve University in the United States and conducts research primarily in the field of Computer Science. Their work spans multiple subfields including Artificial Intelligence, Software, Signal Processing, and Information Systems.

The core topics of Podgurski's research focus on several areas related to software and data analysis. These topics include:

Anomaly Detection Techniques and Applications
Bayesian Modeling and Causal Inference
Time Series Analysis and Forecasting
Software Reliability and Analysis Research
Software Engineering Research
Software Testing and Debugging Techniques

Podgurski has contributed scholarly articles that address challenges in medical robotics and fault localization in software systems. Recent publications include:

Detection and Prediction of Adverse and Anomalous Events in Medical Robots, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
Improving Fault Localization by Integrating Value and Predicate Based Causal Inference Techniques, 2021, arXiv (Cornell University)

Their research has been published in venues such as the Proceedings of the AAAI Conference on Artificial Intelligence and arXiv, reflecting engagement with leading conferences and preprint servers in the computing field.

Among frequent collaborators are researchers including Kai Liang, Feng Cao, Zhuofu Bai, Mark Renfrew, and M. Çavuşoğu. These coauthors have contributed to shared research endeavors primarily in software reliability, debugging, and artificial intelligence applications.

Best Publications

A formal model of program dependences and its implications for software testing, debugging, and maintenance

A. Podgurski;L.A. Clarke

569
Citations
Automated support for classifying software failure reports

Andy Podgurski;David Leon;Patrick Francis;Wes Masri

443
Citations
A formal evaluation of data flow path selection criteria

L.A. Clarke;A. Podgurski;D.J. Richardson;S.J. Zeil

425
Citations
A comparison of coverage-based and distribution-based techniques for filtering and prioritizing test cases

D. Leon;A. Podgurski

245
Citations
The Probabilistic Program Dependence Graph and Its Application to Fault Diagnosis

G K Baah;A Podgurski;M J Harrold

243
Citations
jRapture: A Capture/Replay tool for observation-based testing

John Steven;Pravir Chandra;Bob Fleck;Andy Podgurski

225
Citations
Retrieving reusable software by sampling behavior

Andy Podgurski;Lynn Pierce

186
Citations
Causal inference for statistical fault localization

George K. Baah;Andy Podgurski;Mary Jean Harrold

157
Citations
Dex: a semantic-graph differencing tool for studying changes in large code bases

S. Raghavan;R. Rohana;D. Leon;A. Podgurski

150
Citations
Pursuing failure: the distribution of program failures in a profile space

William Dickinson;David Leon;Andy Podgurski

150
Citations
Big bad data: law, public health, and biomedical databases.

Sharona Hoffman;Andy Podgurski

144
Citations
E-Health Hazards: Provider Liability and Electronic Health Record Systems

Sharona Hoffman;Andy Podgurski

126
Citations
In Sickness, Health, and Cyberspace: Protecting the Security of Electronic Private Health Information

Sharona Hoffman;Andy Podgurski

123
Citations
A comparison of data flow path selection criteria

Lori A. Clarke;Andy Podgurski;Debra J. Richardson;Steven J. Zeil

116
Citations
Tree-based methods for classifying software failures

P. Francis;D. Leon;M. Minch;A. Podgurski

115
Citations
Estimation of software reliability by stratified sampling

Andy Podgurski;Wassim Masri;Yolanda McCleese;Francis G. Wolff

112
Citations
Detecting and debugging insecure information flows

W. Masri;A. Podgurski;D. Leon

111
Citations
An Empirical Study of Test Case Filtering Techniques Based on Exercising Information Flows

W. Masri;A. Podgurski;D. Leon

102
Citations
The use and misuse of biomedical data: is bigger really better?

Sharona Hoffman;Andy Podgurski

97
Citations
An agile manufacturing workcell design

Roger D. Quinn;Greg C. Causey;Frank L. Merat;David M. Sargent

96
Citations

Frequent Co-Authors

Lori A. Clarke University of Massachusetts Amherst

Mary Jean Harrold Georgia Institute of Technology

Roger D. Quinn Case Western Reserve University

Leon Sterling Swinburne University of Technology

Charles Yang University of Pennsylvania

John Hatcliff Kansas State University

Eleni Stroulia University of Alberta

Elaine J. Weyuker University of Central Florida

Michael S. Branicky University of Kansas

James C. Williams The Ohio State University

External Links

Personal website of Andy Podgurski Google Scholar page

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