T. Skewis

8 total papers · 455 total citations
8 papers, 269 citations indexed

About

T. Skewis is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, T. Skewis has authored 8 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in T. Skewis's work include Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (6 papers) and Robot Manipulation and Learning (2 papers). T. Skewis is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (6 papers) and Robot Manipulation and Learning (2 papers). T. Skewis collaborates with scholars based in United States. T. Skewis's co-authors include V. Lumelsky, John Evans, Jonathan Evans, Sheila King and Carl F. R. Weiman and has published in prestigious journals such as IEEE Control Systems, Industrial Robot the international journal of robotics research and application and IEEE Transactions on Systems Man and Cybernetics.

In The Last Decade

T. Skewis

6 papers receiving 242 citations

Author Peers

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

Author Last Decade Papers Cites
T. Skewis 242 163 101 59 26 8 269
Zehui Meng 236 1.0× 240 1.5× 64 0.6× 60 1.0× 28 1.1× 14 325
Amna Khan 286 1.2× 186 1.1× 99 1.0× 35 0.6× 30 1.2× 6 315
Robin Ritz 188 0.8× 214 1.3× 164 1.6× 76 1.3× 20 0.8× 7 327
Roy Glasius 259 1.1× 147 0.9× 104 1.0× 58 1.0× 25 1.0× 6 318
Gisbert Lawitzky 166 0.7× 105 0.6× 87 0.9× 39 0.7× 36 1.4× 14 222
Nikhil Khedekar 212 0.9× 230 1.4× 49 0.5× 36 0.6× 43 1.7× 16 297
Dongliang Zheng 246 1.0× 166 1.0× 107 1.1× 32 0.5× 18 0.7× 13 317
Ángel Madridano 187 0.8× 149 0.9× 79 0.8× 100 1.7× 36 1.4× 11 320
Jeff Hyams 192 0.8× 119 0.7× 55 0.5× 37 0.6× 56 2.2× 7 294
Jing Dong 215 0.9× 146 0.9× 113 1.1× 48 0.8× 23 0.9× 19 320

Countries citing papers authored by T. Skewis

Since Specialization
Citations

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

Fields of papers citing papers by T. Skewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Skewis

This figure shows the co-authorship network connecting the top 25 collaborators of T. Skewis. A scholar is included among the top collaborators of T. Skewis 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. Skewis. T. Skewis 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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2026