T. R. Pryor

17 total papers · 664 total citations
13 papers, 507 citations indexed

About

T. R. Pryor is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, T. R. Pryor has authored 13 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Mechanics. Recurrent topics in T. R. Pryor's work include Advanced Measurement and Metrology Techniques (6 papers), Optical measurement and interference techniques (4 papers) and Surface Roughness and Optical Measurements (4 papers). T. R. Pryor is often cited by papers focused on Advanced Measurement and Metrology Techniques (6 papers), Optical measurement and interference techniques (4 papers) and Surface Roughness and Optical Measurements (4 papers). T. R. Pryor collaborates with scholars based in Canada, United States and United Kingdom. T. R. Pryor's co-authors include Li Jiang and Zhigang Xiao and has published in prestigious journals such as Proceedings of the IEEE, Review of Scientific Instruments and IEEE Journal of Quantum Electronics.

In The Last Decade

T. R. Pryor

11 papers receiving 490 citations

Hit Papers

Supercapacitors: Review o... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
T. R. Pryor 429 317 174 103 92 13 507
Longwei Ding 366 0.9× 289 0.9× 170 1.0× 231 2.2× 237 2.6× 11 577
Donghyuk Kim 180 0.4× 184 0.6× 224 1.3× 169 1.6× 136 1.5× 14 461
Britta Andres 210 0.5× 226 0.7× 93 0.5× 179 1.7× 186 2.0× 21 515
Mengyao Zhang 314 0.7× 373 1.2× 69 0.4× 60 0.6× 121 1.3× 14 512
Mengke Wang 135 0.3× 270 0.9× 174 1.0× 210 2.0× 63 0.7× 17 526
Chenlong Xu 99 0.2× 256 0.8× 107 0.6× 69 0.7× 228 2.5× 19 525
Yinlong Zhao 197 0.5× 162 0.5× 163 0.9× 144 1.4× 273 3.0× 12 486
Sung-Kon Kim 357 0.8× 320 1.0× 147 0.8× 171 1.7× 108 1.2× 9 514
Yogesh Kumar 464 1.1× 360 1.1× 218 1.3× 102 1.0× 92 1.0× 12 529
Kun Yan 387 0.9× 416 1.3× 106 0.6× 40 0.4× 121 1.3× 22 544

Countries citing papers authored by T. R. Pryor

Since Specialization
Citations

This map shows the geographic impact of T. R. Pryor'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 T. R. Pryor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. R. Pryor more than expected).

Fields of papers citing papers by T. R. Pryor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. R. Pryor. 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 T. R. Pryor. The network helps show where T. R. Pryor may publish in the future.

Co-authorship network of co-authors of T. R. Pryor

This figure shows the co-authorship network connecting the top 25 collaborators of T. R. Pryor. A scholar is included among the top collaborators of T. R. Pryor 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 T. R. Pryor. T. R. Pryor 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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