Jacob Varley

26 total papers · 653 total citations
7 papers, 338 citations indexed

About

Jacob Varley is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jacob Varley has authored 7 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Jacob Varley's work include Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (2 papers) and Robotics and Sensor-Based Localization (2 papers). Jacob Varley is often cited by papers focused on Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (2 papers) and Robotics and Sensor-Based Localization (2 papers). Jacob Varley collaborates with scholars based in United States, Germany and United Kingdom. Jacob Varley's co-authors include Peter Allen, Chad DeChant, Adam Richardson, Jonathan Weisz, Feng Xu, Peter K. Allen, Bohan Wu, Deepali Jain, Atıl Işçen and Dmitry Kalashnikov and has published in prestigious journals such as Autonomous Robots, Neural Information Processing Systems and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Jacob Varley

7 papers receiving 332 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jacob Varley 215 143 114 74 58 7 338
Andreas Doumanoglou 227 1.1× 60 0.4× 249 2.2× 72 1.0× 30 0.5× 5 401
Chavdar Papazov 98 0.5× 34 0.2× 186 1.6× 43 0.6× 33 0.6× 8 296
Soshi Shimada 126 0.6× 55 0.4× 253 2.2× 63 0.9× 14 0.2× 14 321
Clément Menier 34 0.2× 50 0.3× 198 1.7× 58 0.8× 22 0.4× 8 362
Douglas Morrison 262 1.2× 152 1.1× 128 1.1× 8 0.1× 83 1.4× 5 389
Yunrong Guo 162 0.8× 63 0.4× 184 1.6× 19 0.3× 68 1.2× 10 315
Leonid Keselman 92 0.4× 30 0.2× 291 2.6× 16 0.2× 25 0.4× 5 385
Matthew Trumble 85 0.4× 73 0.5× 283 2.5× 44 0.6× 21 0.4× 7 337
Claudia Pérez-D’Arpino 187 0.9× 48 0.3× 162 1.4× 9 0.1× 110 1.9× 13 368
Rico Jonschkowski 231 1.1× 79 0.6× 171 1.5× 6 0.1× 112 1.9× 12 399

Countries citing papers authored by Jacob Varley

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Varley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Varley

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Varley. A scholar is included among the top collaborators of Jacob Varley 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 Jacob Varley. Jacob Varley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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