Robert C. Leishman

71 total papers · 589 total citations
37 papers, 425 citations indexed

About

Robert C. Leishman is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Robert C. Leishman has authored 37 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Aerospace Engineering, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Robert C. Leishman's work include Target Tracking and Data Fusion in Sensor Networks (13 papers), Robotic Path Planning Algorithms (12 papers) and Robotics and Sensor-Based Localization (12 papers). Robert C. Leishman is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (13 papers), Robotic Path Planning Algorithms (12 papers) and Robotics and Sensor-Based Localization (12 papers). Robert C. Leishman collaborates with scholars based in United States. Robert C. Leishman's co-authors include Timothy W. McLain, Randal W. Beard, Randy Beard, Kenneth W. Chase, Greg Droge, Kyle Kauffman, John Raquet, Aaron Canciani, Kyung Chun Kim and Clark N. Taylor and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Guidance Control and Dynamics.

In The Last Decade

Robert C. Leishman

33 papers receiving 410 citations

Author Peers

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

Author Last Decade Papers Cites
Robert C. Leishman 308 184 147 107 46 37 425
Yunfeng Wang 174 0.6× 222 1.2× 185 1.3× 77 0.7× 37 0.8× 30 450
Yue Yang 157 0.5× 157 0.9× 86 0.6× 140 1.3× 107 2.3× 40 453
Emil Fresk 266 0.9× 225 1.2× 191 1.3× 32 0.3× 71 1.5× 21 460
Matthias Nieuwenhuisen 303 1.0× 119 0.6× 295 2.0× 46 0.4× 42 0.9× 27 445
Hanqiao Huang 225 0.7× 112 0.6× 156 1.1× 89 0.8× 71 1.5× 55 427
Xiande Wu 264 0.9× 188 1.0× 134 0.9× 29 0.3× 76 1.7× 53 451
Petr Štěpán 231 0.8× 79 0.4× 208 1.4× 36 0.3× 56 1.2× 28 380
Hadi Nobahari 184 0.6× 99 0.5× 56 0.4× 155 1.4× 32 0.7× 45 416
Éric Gagnon 249 0.8× 156 0.8× 96 0.7× 60 0.6× 55 1.2× 35 438
Thomas Stastny 336 1.1× 131 0.7× 115 0.8× 34 0.3× 58 1.3× 27 460

Countries citing papers authored by Robert C. Leishman

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Leishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Leishman. 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 Robert C. Leishman. The network helps show where Robert C. Leishman may publish in the future.

Co-authorship network of co-authors of Robert C. Leishman

This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. Leishman. A scholar is included among the top collaborators of Robert C. Leishman 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 Robert C. Leishman. Robert C. Leishman 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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