Ken Goldberg

427 total papers · 13.1k total citations
200 papers, 5.5k citations indexed

About

Ken Goldberg is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ken Goldberg has authored 200 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Control and Systems Engineering, 58 papers in Biomedical Engineering and 47 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ken Goldberg's work include Robot Manipulation and Learning (88 papers), Soft Robotics and Applications (50 papers) and Reinforcement Learning in Robotics (30 papers). Ken Goldberg is often cited by papers focused on Robot Manipulation and Learning (88 papers), Soft Robotics and Applications (50 papers) and Reinforcement Learning in Robotics (30 papers). Ken Goldberg collaborates with scholars based in United States, Germany and Sweden. Ken Goldberg's co-authors include Jeffrey Mahler, Michael Danielczuk, Matthew Matl, Vishal Satish, Stephen McKinley, Sanjay Krishnan, Brijen Thananjeyan, Pieter Abbeel, Michael Laskey and David V. Gealy and has published in prestigious journals such as Nature, Science and Proceedings of the IEEE.

In The Last Decade

Ken Goldberg

191 papers receiving 5.3k citations

Hit Papers

Combating COVID-19—The ro... 2018 2026 2020 2023 2020 2019 2018 2023 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ken Goldberg 2.7k 1.7k 1.5k 1.3k 755 200 5.5k
Herman Bruyninckx 2.6k 1.0× 1.2k 0.7× 763 0.5× 1.2k 0.9× 1.1k 1.4× 238 5.1k
Rüdiger Dillmann 3.6k 1.3× 2.3k 1.4× 2.8k 1.8× 1.1k 0.9× 916 1.2× 403 7.1k
Hang Su 1.5k 0.6× 1.7k 1.0× 1.4k 0.9× 1.3k 1.0× 737 1.0× 229 5.9k
Lakmal Seneviratne 3.2k 1.2× 3.7k 2.1× 1.5k 0.9× 681 0.5× 2.1k 2.8× 392 9.2k
Ken Goldberg 4.0k 1.5× 2.8k 1.6× 3.2k 2.1× 1.4k 1.1× 2.1k 2.7× 248 9.3k
Martin Buss 3.9k 1.5× 2.3k 1.3× 1.7k 1.1× 918 0.7× 2.6k 3.4× 491 10.2k
Yue Wang 1.3k 0.5× 780 0.5× 1.1k 0.7× 1.1k 0.9× 715 0.9× 391 6.6k
Li‐Chen Fu 3.1k 1.1× 870 0.5× 2.0k 1.3× 897 0.7× 715 0.9× 622 8.0k
Jason Gu 1.9k 0.7× 1.0k 0.6× 1.4k 0.9× 629 0.5× 1.2k 1.6× 422 6.1k
Paolo Fiorini 2.1k 0.8× 3.3k 1.9× 2.1k 1.4× 523 0.4× 2.8k 3.8× 415 9.0k

Countries citing papers authored by Ken Goldberg

Since Specialization
Citations

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

Fields of papers citing papers by Ken Goldberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Goldberg

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Goldberg. A scholar is included among the top collaborators of Ken Goldberg 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 Ken Goldberg. Ken Goldberg 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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