James J. Troy

19 total papers · 1.1k total citations
13 papers, 758 citations indexed

About

James J. Troy is a scholar working on Mechanical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, James J. Troy has authored 13 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 5 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in James J. Troy's work include Teleoperation and Haptic Systems (8 papers), Virtual Reality Applications and Impacts (4 papers) and Robotic Path Planning Algorithms (2 papers). James J. Troy is often cited by papers focused on Teleoperation and Haptic Systems (8 papers), Virtual Reality Applications and Impacts (4 papers) and Robotic Path Planning Algorithms (2 papers). James J. Troy collaborates with scholars based in United States and Australia. James J. Troy's co-authors include William A. McNeely, Paul Murray, Mark W. Spong, Dušan M. Stipanović, Erick J. Rodríguez-Seda, Greg R. Luecke, S. Narayana Swamy, David J. Kasik and M. J. Vanderploeg and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, SAE technical papers on CD-ROM/SAE technical paper series and IEEE Computer Graphics and Applications.

In The Last Decade

James J. Troy

13 papers receiving 706 citations

Author Peers

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

Author Last Decade Papers Cites
James J. Troy 556 296 244 222 207 13 758
William A. McNeely 618 1.1× 418 1.4× 196 0.8× 358 1.6× 169 0.8× 10 834
Andrew Spielberg 271 0.5× 83 0.3× 218 0.9× 79 0.4× 201 1.0× 32 894
M.A. Srinivasan 359 0.6× 262 0.9× 99 0.4× 327 1.5× 211 1.0× 14 874
Daniela Constantinescu 308 0.6× 91 0.3× 497 2.0× 94 0.4× 210 1.0× 53 769
Claude Andriot 314 0.6× 204 0.7× 329 1.3× 197 0.9× 103 0.5× 38 770
Salih Ertug Ovur 119 0.2× 158 0.5× 250 1.0× 84 0.4× 148 0.7× 21 676
W.S. Kim 561 1.0× 86 0.3× 404 1.7× 90 0.4× 120 0.6× 22 716
Xiao Xu 358 0.6× 156 0.5× 101 0.4× 142 0.6× 106 0.5× 60 686
Thomas Hulin 467 0.8× 214 0.7× 245 1.0× 273 1.2× 72 0.3× 59 693
Julius Kammerl 283 0.5× 194 0.7× 86 0.4× 254 1.1× 240 1.2× 26 762

Countries citing papers authored by James J. Troy

Since Specialization
Citations

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

Fields of papers citing papers by James J. Troy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Troy. 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 James J. Troy. The network helps show where James J. Troy may publish in the future.

Co-authorship network of co-authors of James J. Troy

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Troy. A scholar is included among the top collaborators of James J. Troy 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 James J. Troy. James J. Troy 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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