2026 Lydia E. Kavraki: 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	82	936	905	510	491	350	38039

Lydia E. Kavraki publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lydia E. Kavraki sits on this spectrum.

32 publications 991+

This scientist: 350 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Lydia E. Kavraki D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Lydia E. Kavraki sits on this spectrum.

30 D-Index 131+

This scientist: 82 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2020 - Member of Academia Europaea
2019 - ACM AAAI Allen Newell Award For pioneering contributions to robotic motion planning and their applications in bioinformatics and biomedicine, including the invention of randomized motion planning algorithms and probabilistic roadmaps.
2017 - ACM Athena Lecturer Award For the invention of randomized motion planning algorithms in robotics and the development of robotics-inspired methods for bioinformatics and biomedicine.
2012 - Fellow of the American Association for the Advancement of Science (AAAS)
2012 - IEEE Fellow For contributions to robot-motion planning and computational biology
2012 - Member of the National Academy of Medicine (NAM)
2010 - ACM Fellow For contributions to robotic motion planning and its application to computational biology.
2008 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the field of automated motion planning and the development of widely used probabilistic search algorithms
2004 - Fellow of the Indian National Academy of Engineering (INAE)
2000 - ACM Grace Murray Hopper Award For her seminal work on the probabilistic roadmap approach which has caused a paradigm shift in the area of path planning, and has many applications in robotics, manufacturing, nanotechnology and computational biology.
2000 - Fellow of Alfred P. Sloan Foundation

Overview

Lydia E. Kavraki is affiliated with Rice University in the United States. Their research spans multiple fields and subfields within computer science and engineering, producing a significant body of scholarly work.

The main fields of study in which they have published include:

Computer Science
Engineering

The notable subfields of study covered by their publications are:

Computer Vision and Pattern Recognition
Molecular Biology
Artificial Intelligence
Control and Systems Engineering
Computational Theory and Mathematics

Their research topics include:

Robotic Path Planning Algorithms
Robot Manipulation and Learning
AI-based Problem Solving and Planning
Vaccines and Immunoinformatics Approaches
Computational Drug Discovery Methods
Protein Structure and Dynamics
Reinforcement Learning in Robotics

Kavraki has published extensively in the following venues:

arXiv (Cornell University)
Frontiers in Immunology
IEEE Robotics and Automation Letters
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Journal of Chemical Information and Modeling

Selected recent papers demonstrate a blend of robotics, machine learning, and bioinformatics applications:

Machine Learning-Guided Three-Dimensional Printing of Tissue Engineering Scaffolds, 2020, Tissue Engineering Part A
Sampling-Based Motion Planning: A Comparative Review, 2023, Annual Review of Control Robotics and Autonomous Systems
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets, 2021, IEEE Robotics and Automation Letters
Prediction of drug metabolites using neural machine translation, 2020, Chemical Science
An end-to-end deep learning framework for translating mass spectra to de-novo molecules, 2023, Communications Chemistry

Frequent co-authors collaborating with Kavraki include:

Zachary Kingston
Dinler A. Antunes
Constantinos Chamzas
Maurício Rigo
Anja Conev

The scientist's recognitions and honors consist of:

Member of Academia Europaea, 2020
ACM AAAI Allen Newell Award, 2019, for pioneering contributions to robotic motion planning and applications in bioinformatics and biomedicine
ACM Athena Lecturer Award, 2017, for invention of randomized motion planning algorithms and robotics-inspired bioinformatics methods
Member of the National Academy of Medicine (NAM), 2012
IEEE Fellow, 2012, for contributions to robot-motion planning and computational biology
Fellow of the American Association for the Advancement of Science (AAAS), 2012
ACM Fellow, 2010, for contributions to robotic motion planning applied to computational biology
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2008
Fellow of the Indian National Academy of Engineering (INAE), 2004
ACM Grace Murray Hopper Award, 2000, for seminal work on the probabilistic roadmap approach impacting path planning and multiple applied fields
Fellow of Alfred P. Sloan Foundation, 2000

Best Publications

Probabilistic roadmaps for path planning in high-dimensional configuration spaces

L.E. Kavraki;P. Svestka;J.-C. Latombe;M.H. Overmars

7949
Citations
The Open Motion Planning Library

I. A. Sucan;M. Moll;L. E. Kavraki

1829
Citations
Path planning using lazy PRM

R. Bohlin;L.E. Kavraki

1181
Citations
Practical robust localization over large-scale 802.11 wireless networks

Andreas Haeberlen;Eliot Flannery;Andrew M. Ladd;Algis Rudys

999
Citations
Robotics-based location sensing using wireless Ethernet

Andrew M. Ladd;Kostas E. Bekris;Algis Rudys;Lydia E. Kavraki

909
Citations
Robotics-based location sensing using wireless ethernet

Andrew M. Ladd;Kostas E. Bekris;Algis Rudys;Guillaume Marceau

906
Citations
Randomized preprocessing of configuration for fast path planning

L. Kavraki;J.-C. Latombe

604
Citations
On finding narrow passages with probabilistic roadmap planners

David Hsu;Lydia E. Kavraki;Jean-Claude Latombe;Rajeev Motwani

469
Citations
Analysis of probabilistic roadmaps for path planning

L.E. Kavraki;M.N. Kolountzakis;J.-C. Latombe

457
Citations
A random sampling scheme for path planning

Jér ocirc Barraquand;Lydia Kavraki;Jean-Claude Latombe;Rajeev Motwani

430
Citations
Randomized Query Processing in Robot Path Planning

Lydia E. Kavraki;Jean-Claude Latombe;Rajeev Motwani;Prabhakar Raghavan

408
Citations
Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction

Payel Das;Mark Moll;Hernán Stamati;Lydia E. Kavraki

395
Citations
On the feasibility of using wireless ethernet for indoor localization

A.M. Ladd;K.E. Bekris;A.P. Rudys;D.S. Wallach

354
Citations
Sampling-based motion planning with temporal goals

Amit Bhatia;Lydia E. Kavraki;Moshe Y. Vardi

291
Citations
An Accurate, Sensitive, and Scalable Method to Identify Functional Sites in Protein Structures

Hui Yao;David M. Kristensen;David M. Kristensen;Ivana Mihalek;Mathew E. Sowa

247
Citations
Randomized path planning for linkages with closed kinematic chains

J.H. Yakey;S.M. LaValle;L.E. Kavraki

243
Citations
Path planning for deformable linear objects

M. Moll;L.E. Kavraki

236
Citations
Kinodynamic Motion Planning by Interior-Exterior Cell Exploration

Ioan Alexandru Sucan;Lydia E. Kavraki

236
Citations
Sampling-based roadmap of trees for parallel motion planning

E. Plaku;K.E. Bekris;B.Y. Chen;A.M. Ladd

230
Citations
A two level fuzzy PRM for manipulation planning

C.L. Nielsen;L.E. Kavraki

224
Citations
Principles of Robot Motion: Theory, Algorithms, and Implementation ERRATA!!!! 1

Howie Choset;Kevin Lynch;Seth Hutchinson;George Kantor

8
Citations

Frequent Co-Authors

Kostas E. Bekris Rutgers, The State University of New Jersey

Jean-Claude Latombe Stanford University

Moshe Y. Vardi Rice University

Cecilia Clementi Freie Universität Berlin

Marek Kimmel Rice University

Swarat Chaudhuri The University of Texas at Austin

Olivier Lichtarge Baylor College of Medicine

Rajeev Motwani Stanford University

Wolfram Burgard University of Technology Nuremberg

Kevin M. Lynch Northwestern University

External Links

Wikipedia of Lydia E. Kavraki Personal website of Lydia E. Kavraki Google Scholar page

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

Related Online Degrees & Career Pathways

If you’re passionate about computer science but considering a flexible approach to education, online degree programs can open diverse career opportunities. Emerging fields like cybersecurity are in high demand, with options for a cyber security online degree providing a pathway into roles that protect digital infrastructure.

Tech skills are also highly valued in interdisciplinary fields. For instance, those with an interest in managing complex projects may find an online construction management degree aligns well with a background in computer science, blending technical expertise with leadership.

Additionally, understanding data and analytics is crucial in today’s job market. Whether you’re looking for a accounting degree online cheap or comparing criminal justice degree price, online education makes it possible to upskill affordably and flexibly.

Exploring these related online degrees can help you tailor your learning to suit your interests, with paths leading to a wide range of careers in technology and beyond.