Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by George A. Bekey
Since
Specialization
Citations
This map shows the geographic impact of George A. Bekey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by George A. Bekey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George A. Bekey more than expected).
This network shows the impact of papers produced by George A. Bekey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by George A. Bekey. The network helps show where George A. Bekey may publish in the future.
Co-authorship network of co-authors of George A. Bekey
This figure shows the co-authorship network connecting the top 25 collaborators of George A. Bekey.
A scholar is included among the top collaborators of George A. Bekey based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with George A. Bekey. George A. Bekey is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Bekey, George A.. (2005). Autonomous Robots: From Biological Inspiration to Implementation and Control (Intelligent Robotics and Autonomous Agents). The MIT Press eBooks.41 indexed citations
2.
Karplus, Walter J., George A. Bekey, & Boris Kogan. (2003). Modeling and simulation : theory and practice : a memorial volume for Professor Walter J. Karplus (1927-2001). Kluwer Academic Publishers eBooks.4 indexed citations
Sukhatme, Gaurav S. & George A. Bekey. (1996). Multicriteria Evaluation of a Planetary Rover. International Conference on Robotics and Automation.12 indexed citations
Agah, Arvin & George A. Bekey. (1995). Sociorobotics: one to many robots. International Conference on Artificial Intelligence. 123–135.2 indexed citations
8.
Bekey, George A., et al.. (1995). An Architecture for Behavior Coordination Learning. IEEE International Conference on Neural Networks.15 indexed citations
9.
Beattie, David, Thea Iberall, Gaurav S. Sukhatme, & George A. Bekey. (1994). EMG Control for a Robot Hand Used as a Prosthesis.5 indexed citations
Bekey, George A.. (1992). Robotics and neural networks. Prentice-Hall, Inc eBooks. 161–188.10 indexed citations
13.
Perry, Jennifer A., Ross Bogey, JoAnne K. Gronley, et al.. (1990). GAIT-ER-AID: An Expert System for Analysis of Gait with Automatic Intelligent Pre-Processing of Data.. PubMed Central. 625–629.4 indexed citations
14.
Yeung, Dit Yan & George A. Bekey. (1989). Using a context-sensitive learning network for robot arm control. International Conference on Robotics and Automation. 1441.22 indexed citations
15.
Koivo, A.J. & George A. Bekey. (1988). Report of workshop on coordinated multiple robot manipulators: Planning, control, and applications.. IEEE Journal on Robotics and Automation. 4(1). 91–93.62 indexed citations
16.
Hadaegh, Fred Y. & George A. Bekey. (1987). Analysis of modeling errors in system identification. 3(2). 107–124.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.