Jennifer Burke

58 total papers · 1.9k total citations
31 papers, 1.2k citations indexed

About

Jennifer Burke is a scholar working on Social Psychology, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Jennifer Burke has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Social Psychology, 7 papers in Control and Systems Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Jennifer Burke's work include Human-Automation Interaction and Safety (12 papers), Social Robot Interaction and HRI (7 papers) and Robotics and Automated Systems (6 papers). Jennifer Burke is often cited by papers focused on Human-Automation Interaction and Safety (12 papers), Social Robot Interaction and HRI (7 papers) and Robotics and Automated Systems (6 papers). Jennifer Burke collaborates with scholars based in United States, South Korea and Japan. Jennifer Burke's co-authors include Robin R. Murphy, Michael D. Coovert, Cindy L. Bethel, Kristen Salomon, Matthew S. Prewett, Elizabeth S. Redden, Kevin Pratt, Frederick R. B. Stilson, Charles A. Simenstad and Eric Rogers and has published in prestigious journals such as Cancer Research, European Journal of Clinical Nutrition and Ecology and Society.

In The Last Decade

Jennifer Burke

31 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Burke 452 201 200 178 172 31 1.2k
José Carlos Castillo 210 0.5× 453 2.3× 108 0.5× 137 0.8× 267 1.6× 86 1.4k
Matthew Schlesinger 211 0.5× 129 0.6× 107 0.5× 260 1.5× 236 1.4× 66 1.2k
Thomas Hellström 112 0.2× 186 0.9× 211 1.1× 88 0.5× 213 1.2× 82 1.1k
Chao Qu 84 0.2× 332 1.7× 90 0.5× 60 0.3× 91 0.5× 39 1.3k
Charles Fox 295 0.7× 131 0.7× 198 1.0× 315 1.8× 92 0.5× 61 1.2k
Victor Ng‐Thow‐Hing 239 0.5× 378 1.9× 364 1.8× 44 0.2× 125 0.7× 34 997
Nikolai W. F. Bode 130 0.3× 120 0.6× 167 0.8× 33 0.2× 60 0.3× 48 1.5k
Lionel Revéret 113 0.3× 454 2.3× 320 1.6× 245 1.4× 121 0.7× 40 1.2k
Yiwei Wang 144 0.3× 127 0.6× 93 0.5× 60 0.3× 81 0.5× 83 1.3k
Marı́a Teresa López 93 0.2× 351 1.7× 77 0.4× 236 1.3× 260 1.5× 82 1.2k

Countries citing papers authored by Jennifer Burke

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Burke

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