David A. Handelman

732 total citations
28 papers, 484 citations indexed

About

David A. Handelman is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, David A. Handelman has authored 28 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 13 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in David A. Handelman's work include Robot Manipulation and Learning (8 papers), Neural Networks and Applications (7 papers) and AI-based Problem Solving and Planning (6 papers). David A. Handelman is often cited by papers focused on Robot Manipulation and Learning (8 papers), Neural Networks and Applications (7 papers) and AI-based Problem Solving and Planning (6 papers). David A. Handelman collaborates with scholars based in United States. David A. Handelman's co-authors include Stephen H. Lane, Jack Gelfand, Robert F. Stengel, David P. McMullen, Pablo Celnik, Nathan E. Crone, Matthew S. Fifer, Brock A. Wester, Francesco V. Tenore and Margaret C. Thompson and has published in prestigious journals such as Journal of Guidance Control and Dynamics, Computers & Mathematics with Applications and IEEE Control Systems.

In The Last Decade

David A. Handelman

21 papers receiving 448 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David A. Handelman United States 9 278 245 40 36 32 28 484
Christian Osendorfer Germany 9 105 0.4× 155 0.6× 28 0.7× 70 1.9× 19 0.6× 15 341
Judy A. Franklin United States 7 306 1.1× 210 0.9× 52 1.3× 83 2.3× 16 0.5× 27 534
Haiyan Wu China 12 113 0.4× 204 0.8× 15 0.4× 101 2.8× 35 1.1× 38 469
Gary Boone United States 8 175 0.6× 142 0.6× 18 0.5× 107 3.0× 103 3.2× 9 449
Danijar Hafner United States 8 188 0.7× 298 1.2× 56 1.4× 136 3.8× 19 0.6× 15 607
Aaron D’Souza United States 10 298 1.1× 262 1.1× 105 2.6× 100 2.8× 14 0.4× 14 597
Koldo Basterretxea Spain 12 88 0.3× 217 0.9× 21 0.5× 97 2.7× 121 3.8× 39 440
Jonas Degrave Belgium 8 72 0.3× 147 0.6× 56 1.4× 75 2.1× 57 1.8× 16 309
Vincent Berenz Japan 11 205 0.7× 116 0.5× 44 1.1× 101 2.8× 31 1.0× 24 420

Countries citing papers authored by David A. Handelman

Since Specialization
Citations

This map shows the geographic impact of David A. Handelman'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 David A. Handelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Handelman more than expected).

Fields of papers citing papers by David A. Handelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Handelman. 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 David A. Handelman. The network helps show where David A. Handelman may publish in the future.

Co-authorship network of co-authors of David A. Handelman

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Handelman. A scholar is included among the top collaborators of David A. Handelman 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 David A. Handelman. David A. Handelman 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.
Rivera, Corban G., Goldie S. Byrd, William Paul, et al.. (2025). ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution. 8988–8995.
2.
Handelman, David A., et al.. (2024). Leveraging foundation models for scene understanding in human-robot teaming. 32–32. 1 indexed citations
3.
Rieder, Travis N., et al.. (2023). Designing robots that do no harm: understanding the challenges of Ethics for Robots. AI and Ethics. 4(2). 463–471. 3 indexed citations
4.
Handelman, David A., Luke E. Osborn, Margaret C. Thompson, et al.. (2022). Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding. Frontiers in Neurorobotics. 16. 918001–918001. 36 indexed citations
5.
Rivera, Corban G., et al.. (2022). Visual Goal-Directed Meta-Imitation Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 3766–3772. 3 indexed citations
6.
7.
Handelman, David A., Stephen H. Lane, & Jack Gelfand. (2020). Robotic Skill Acquisition Based on Biological Principles. CRC Press, Inc. eBooks. 301–328.
8.
Endo, Yoichiro, et al.. (2016). Landmark-based robust navigation for tactical UGV control in GPS-denied communication-degraded environments. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9837. 98370F–98370F. 3 indexed citations
9.
Handelman, David A., et al.. (2010). Agile and dexterous robot for inspection and EOD operations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7692. 769211–769211. 3 indexed citations
10.
Lane, Stephen H., David A. Handelman, & Jack Gelfand. (2003). A neural network computational map approach to reflexive motor control. 931. 658–664. 1 indexed citations
11.
Handelman, David A., Stephen H. Lane, & Jack Gelfand. (2003). Integrating neural networks and knowledge-based systems for robotic control. 12. 1454–1460.
12.
Handelman, David A., Stephen H. Lane, & Jack Gelfand. (2002). Goal-directed encoding of task knowledge for robotic skill acquisition. 388–393.
13.
Littman, Michael G., et al.. (1996). Robot choreography: An artistic-scientific connection. Computers & Mathematics with Applications. 32(1). 1–4. 5 indexed citations
14.
Lane, Stephen H., et al.. (1990). Multi-Layer Perceptrons with B-Spline Receptive Field Functions. Neural Information Processing Systems. 3. 684–692. 15 indexed citations
15.
Handelman, David A., Stephen H. Lane, & Jack Gelfand. (1990). Integrating neural networks and knowledge-based systems for intelligent robotic control. IEEE Control Systems Magazine. 10(3). 77–87. 86 indexed citations
16.
Handelman, David A., Stephen H. Lane, & Jack Gelfand. (1989). Integrating knowledge-based system and neural network techniques for robotic skill acquisition. International Joint Conference on Artificial Intelligence. 34(2). 193–198. 11 indexed citations
17.
Handelman, David A. & Robert F. Stengel. (1988). Rule-Based Mechanisms of Learning for Intelligent Adaptive Flight Control. NASA STI Repository (National Aeronautics and Space Administration). 208–213. 11 indexed citations
18.
Handelman, David A. & Robert F. Stengel. (1987). An Architecture for Real-Time Rule-Based Control. American Control Conference. 1636–1642. 33 indexed citations
19.
Handelman, David A.. (1987). An Application of Artificial Intelligence Theory to Reconfigurable Flight Control.. Defense Technical Information Center (DTIC). 3 indexed citations
20.
Handelman, David A. & Robert F. Stengel. (1986). THEORY FOR FAULT-TOLERANT FLIGHT CONTROL COMBINING EXPERT SYSTEM AND ANALYTICAL REDUNDANCY CONCEPTS.. 375–384. 8 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.

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