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 Michael A. Goodrich sits on this spectrum.
This scientist: 195 publications — 44th percentile
44% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
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 Michael A. Goodrich sits on this spectrum.
This scientist: 46 D-Index — 53rd percentile
53% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Michael A. Goodrich is affiliated with Brigham Young University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a strong focus on Artificial Intelligence, Control and Systems Engineering, and Mechanical Engineering, among other subfields.
The scientist's recent scholarly output includes publications in well-regarded venues such as ACM Transactions on Human-Robot Interaction, IEEE Transactions on Robotics, the 2022 International Conference on Robotics and Automation (ICRA), interactions, and the 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). The titles of their recent papers are:
Their work often explores themes related to modular robots and swarm intelligence, reinforcement learning in robotics, fault detection and control systems, robot manipulation and learning, AI-based problem solving and planning, risk and safety analysis, and evolutionary algorithms and applications.
Frequent co-authors in their research endeavors include Jacob W. Crandall, Aadesh Neupane, Alvika Gautam, Xuan Cao, and Matthias Scheutz. These collaborations have contributed to multiple publications across various reputable platforms.
Regarding publication venues, Michael A. Goodrich has contributed significantly to:
The range and focus of their research reflect an emphasis on autonomous systems, robot proficiency evaluation, and resilience metrics, with applications to human-robot interaction and system design. This body of work demonstrates interdisciplinary connections bridging computer science and various fields of engineering.
Michael A. Goodrich;Alan C. Schultz
R.W. Beard;T.W. McLain;M.A. Goodrich;E.P. Anderson
Aaron Steinfeld;Terrence Fong;David Kaber;Michael Lewis
Michael A. Goodrich;Bryan S. Morse;Damon Gerhardt;Joseph L. Cooper
Randal W. Beard;Derek B. Kingston;Morgan Quigley;Deryl Snyder
Michael A. Goodrich;Dan R. Olsen Jr.
J.W. Crandall;M.A. Goodrich;D.R. Olsen;C.W. Nielsen
C.W. Nielsen;M.A. Goodrich;R.W. Ricks
J.W. Crandall;M.A. Goodrich
M.A. Goodrich;D.R. Olsen
Jacob W. Crandall;Mayada Oudah;Tennom;Fatimah Ishowo-Oloko
M. Quigley;M.A. Goodrich;S. Griffiths;A. Eldredge
Yukio Ohsawa;Peter McBurney;Simon Parsons;Christopher A. Miller
J.W. Crandall;M.A. Goodrich
Lanny Lin;Michael A. Goodrich
M.A. Goodrich;W.C. Stirling;R.L. Frost
Michael A. Goodrich;Timothy W. McLain;Jeffrey D. Anderson;Jisang Sun
M.A. Goodrich;E.R. Boer
Nicole Giullian;Daniel Ricks;Alan Atherton;Mark Colton
M. Quigley;M.A. Goodrich;R.W. Beard
Michael A. Goodrich;Bryan S. Morse;Damon Gerhardt;Joseph L. Cooper
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Expanding your study of Computer Science in the USA opens the door to a variety of related degrees and career pathways, many of which can be pursued online. Fields like physics, data science, and electrical engineering share foundational concepts with computer science, and the demand for expertise in these areas is growing rapidly.
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