Kimberly McGuire

23 total papers · 558 total citations
9 papers, 340 citations indexed

About

Kimberly McGuire is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Kimberly McGuire has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Kimberly McGuire's work include Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (6 papers) and UAV Applications and Optimization (3 papers). Kimberly McGuire is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (6 papers) and UAV Applications and Optimization (3 papers). Kimberly McGuire collaborates with scholars based in Netherlands, Germany and United Kingdom. Kimberly McGuire's co-authors include Guido de Croon, Christophe De Wagter, Hilbert J. Kappen, Karl Tuyls, Wolfgang Hönig, Marin Kobilarov, Giuseppe Silano and Joseph Moore and has published in prestigious journals such as Science Robotics, Autonomous Robots and IEEE Robotics & Automation Magazine.

In The Last Decade

Kimberly McGuire

9 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
Kimberly McGuire 199 145 126 71 61 9 340
Timothy Stirling 176 0.9× 165 1.1× 135 1.1× 54 0.8× 97 1.6× 7 343
Fabrizio Schiano 174 0.9× 140 1.0× 131 1.0× 36 0.5× 53 0.9× 13 348
Haojia Li 209 1.1× 117 0.8× 189 1.5× 50 0.7× 48 0.8× 8 395
Norbert Tarcai 168 0.8× 262 1.8× 129 1.0× 25 0.4× 67 1.1× 5 350
Xiangyong Wen 167 0.8× 109 0.8× 133 1.1× 28 0.4× 45 0.7× 3 310
Jussi Taipalmaa 131 0.7× 125 0.9× 155 1.2× 32 0.5× 44 0.7× 6 354
Jason Derenick 98 0.5× 128 0.9× 140 1.1× 75 1.1× 42 0.7× 14 322
M.B. McMickell 118 0.6× 157 1.1× 64 0.5× 198 2.8× 37 0.6× 10 396
Viktor Walter 269 1.4× 159 1.1× 185 1.5× 64 0.9× 30 0.5× 16 378
Yulun Tian 257 1.3× 71 0.5× 172 1.4× 82 1.2× 72 1.2× 11 344

Countries citing papers authored by Kimberly McGuire

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly McGuire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly McGuire

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