2026 Richard P. Lippmann: 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	47	6277	6095	2806	2703	110	30376

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

6277

6095

2806

2703

110

30376

Research.com Recognitions

2020 - IEEE Fellow For contributions to neural networks and assessment of computer security systems

Overview

Richard P. Lippmann is affiliated with MIT in the United States and conducts research spanning multiple disciplines including Medicine and Computer Science. Their work integrates core topics such as Artificial Intelligence, Cardiology and Cardiovascular Medicine, and Health Informatics.

Their research contributions focus on several main topics:

Cardiac, Anesthesia and Surgical Outcomes
Cardiac Valve Diseases and Treatments
Artificial Intelligence in Healthcare and Education
Explainable Artificial Intelligence (XAI)
Anomaly Detection Techniques and Applications
Machine Learning and Data Classification

Lippmann has published in various scientific venues including:

Journal of Thoracic and Cardiovascular Surgery
Neural Computation

Among recent papers, two notable publications are:

Commentary: Machine learning and cardiac surgery risk prediction, 2020, Journal of Thoracic and Cardiovascular Surgery
Understanding and Applying Deep Learning, 2022, Neural Computation

Their frequent co-author is David M. Shahian, with collaborations reflected in at least one co-authored paper.

Richard P. Lippmann's recognized areas of expertise are reflected through awards such as the IEEE Fellow distinction received in 2020 for contributions to neural networks and assessment of computer security systems.

Best Publications

An introduction to computing with neural nets

Richard P. Lippmann

13027
Citations
Automated generation and analysis of attack graphs

O. Sheyner;J. Haines;S. Jha;R. Lippmann

1879
Citations
Neural Network Classifiers Estimate Bayesian a posteriori Probabilities.

Michael D. Richard;Richard P. Lippmann

1657
Citations
Evaluating intrusion detection systems: the 1998 DARPA off-line intrusion detection evaluation

R.P. Lippmann;D.J. Fried;I. Graf;J.W. Haines

1419
Citations
Pattern classification using neural networks

R.P. Lippmann

1225
Citations
The 1999 DARPA off-line intrusion detection evaluation

Richard Lippmann;Joshua W. Haines;David J. Fried;Jonathan Korba

1217
Citations
Speech recognition by machines and humans

Richard P. Lippmann

878
Citations
Review of neural networks for speech recognition

Richard P. Lippmann

853
Citations
Learning to Detect and Classify Malicious Executables in the Wild

J. Zico Kolter;Marcus A. Maloof

837
Citations
Practical Attack Graph Generation for Network Defense

Kyle Ingols;Richard Lippmann;Keith Piwowarski

554
Citations
Multi-style training for robust isolated-word speech recognition

R. Lippmann;E. Martin;D. Paul

469
Citations
Improving intrusion detection performance using keyword selection and neural networks

Richard P. Lippmann;Robert K. Cunningham

393
Citations
Testing static analysis tools using exploitable buffer overflows from open source code

Misha Zitser;Richard Lippmann;Tim Leek

374
Citations
Modeling Modern Network Attacks and Countermeasures Using Attack Graphs

Kyle Ingols;Matthew Chu;Richard Lippmann;Seth Webster

325
Citations
Analysis and Results of the 1999 DARPA Off-Line Intrusion Detection Evaluation

Richard Lippmann;Joshua W. Haines;David J. Fried;Jonathan Korba

320
Citations
An Annotated Review of Past Papers on Attack Graphs

R. P. Lippmann;K. W. Ingols

303
Citations
Validating and Restoring Defense in Depth Using Attack Graphs

Richard Lippmann;Kyle Ingols;Chris Scott;Keith Piwowarski

298
Citations
Neural Net and Traditional Classifiers

William Y. Huang;Richard P Lippmann

277
Citations
A network security planning architecture

Richard Lippmann;Chris Scott;Kendra Kratkiewicz;Michael Artz

241
Citations
An Overview of Issues in Testing Intrusion Detection Systems

Peter M. Mell;R Lippmann;Chung Tong Hu;J Haines

230
Citations

Frequent Co-Authors

Eric Chang Microsoft (United States)

Christopher Kruegel University of California, Santa Barbara

Simson L. Garfinkel United States Census Bureau

John Wawrzynek University of California, Berkeley

Jeannette M. Wing Columbia University

Somesh Jha University of Wisconsin–Madison

Pavel Laskov University of Liechtenstein

Richard Rose Google (United States)

External Links

Personal website of Richard P. Lippmann Google Scholar page

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