Bob McGrew

4.6k citations
3 papers · 941 · 1 hit paper · h-index 3

Impact in

Papers in

Bob McGrew

3 papers receiving 907 citations

Bob McGrew's Hit Papers

Learning dexterous in-hand manipulation 2019 · 915 citations
9150+2+4Years since publication250500750

Peers

Bob McGrew
Comparison fields: 5 of 80
  • Control and Systems Engineering 537
  • Artificial Intelligence 422
  • Computer Vision and Pattern Recognition 194
  • Human-Computer Interaction 47
  • Biomedical Engineering 271
Replace Arthur J Petron with:
Arthur J Petron United States
Szymon Sidor Poland
Matthias Plappert Germany
Bowen Baker United States
Jakub Pachocki United States
Katharina Mülling Germany
Christian Daniel Germany
Herke van Hoof Netherlands
Abdeslam Boularias United States
Scott Niekum United States
Bob McGrew relative to Arthur J Petron United States Arthur J Petron's profile →
Citations per field
00.5×1.5×
Arthur J Petron · 1×
Citations per year

Countries citing papers authored by Bob McGrew

Since Specialization
Citations

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

Fields of papers citing papers by Bob McGrew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bob McGrew. 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 Bob McGrew. The network helps show where Bob McGrew may publish in the future.

Co-authors

The 18 scholars most cited alongside Bob McGrew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bob McGrew Line = papers co-authored together Bob McGrew links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Learning dexterous in-hand manipulation
Hit paper breakdown →
2019915
2
Emergent Tool Use From Multi-Agent Autocurricula
202020
3 20086

About Bob McGrew

Bob McGrew is a scholar working on Artificial Intelligence, Management Information Systems, Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 3 papers that have together received 941 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (2 papers), Artificial Intelligence in Games (1 paper), Evolutionary Algorithms and Applications (1 paper), Teleoperation and Haptic Systems (1 paper), Data Visualization and Analytics (1 paper), Robot Manipulation and Learning (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Control and Systems Engineering (537 citations), Artificial Intelligence (422 citations), Computer Vision and Pattern Recognition (194 citations), Human-Computer Interaction (47 citations) and Biomedical Engineering (271 citations). Bob McGrew has collaborated with scholars based in United States. Frequent co-authors include Bowen Baker, Josh Tobin, Jakub Pachocki, Peter Welinder, Lilian Weng, Jonas Schneider, Arthur J Petron, Szymon Sidor, Rafał Józefowicz and Wojciech Zaremba. Their work appears in journals such as The International Journal of Robotics Research and arXiv (Cornell University).

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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