T. Skewis

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 Modular Robots and Swarm Intelligence (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 Modular Robots and Swarm Intelligence (2 papers). T. Skewis collaborates with scholars based in United States. T. Skewis's co-authors include V. Lumelsky, John Evans, Jonathan Evans, Carl F. R. Weiman and Sheila King 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

Peers

T. Skewis
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 242
  • Aerospace Engineering 163
  • Control and Systems Engineering 101
  • Computer Networks and Communications 59
  • Mechanical Engineering 26
Replace Gisbert Lawitzky with:
Gisbert Lawitzky Germany
Nohaidda Sariff Malaysia
H. Noborio Japan
Robin Ritz Switzerland
Jory Denny United States
Zehui Meng Singapore
Amna Khan Pakistan
Susan Hert United States
Sharon Laubach United States
Gisbert Lawitzky Germany View profile →
Citations per field, relative to T. Skewis
T. Skewis · 1×
Citations per year, relative to T. Skewis
T. Skewis · 1×

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

8 of 8 papers shown
# Work Indexed citations
1 0
2 21
3 4
4 8
5 19
6 36
7 181
8 0

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