Thejus Pathmakumar
Impact in
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- Robotic Path Planning Algorithms
- Mechanical Engineering top 10%
- Modular Robots and Swarm Intelligence
Papers in
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- Modular Robots and Swarm Intelligence 15
- Advanced Materials and Mechanics 4
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- Robotic Path Planning Algorithms 8
- Advanced Neural Network Applications 3
- Co-authors
- Mohan Rajesh Elara (21 shared papers)Prabakaran Veerajagadheswar (8 shared papers)Shunsuke Nansai (3 shared papers)Balakrishnan Ramalingam (7 shared papers)Braulio Félix Gómez (6 shared papers)Akio Nakamura (2 shared papers)Ning Tan (3 shared papers)Masami Iwase (1 shared paper)
- Journals
- Sensors (9 papers)Applied Sciences (4 papers)Expert Systems with Applications (1 paper)Automation in Construction (1 paper)IEEE Access (1 paper)
- Partner nations
- SingaporeJapanUnited States
In The Last Decade
Thejus Pathmakumar
28 papers receiving 446 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 195
- Mechanical Engineering 203
- Aerospace Engineering 113
- Control and Systems Engineering 98
- Industrial and Manufacturing Engineering 34
Countries citing papers authored by Thejus Pathmakumar
This map shows the geographic impact of Thejus Pathmakumar'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 Thejus Pathmakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thejus Pathmakumar more than expected).
Fields of papers citing papers by Thejus Pathmakumar
This network shows the impact of papers produced by Thejus Pathmakumar. 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 Thejus Pathmakumar. The network helps show where Thejus Pathmakumar may publish in the future.
Co-authors
The 21 scholars most cited alongside Thejus Pathmakumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 97 | |
| 2 | 2017 | 48 | |
| 3 | 2017 | 44 | |
| 4 | 2017 | 44 | |
| 5 | 2021 | 42 | |
| 6 | 2018 | 21 | |
| 7 | 2017 | 19 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2018 | 16 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2015 | 12 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2018 | 6 |
About Thejus Pathmakumar
Thejus Pathmakumar is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Civil and Structural Engineering and Control and Systems Engineering, having authored 28 papers that have together received 468 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (15 papers), Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (6 papers), Infrastructure Maintenance and Monitoring (4 papers), Advanced Materials and Mechanics (4 papers), Advanced Neural Network Applications (3 papers), Soft Robotics and Applications (3 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Mechanical Engineering (203 citations), Aerospace Engineering (113 citations), Control and Systems Engineering (98 citations) and Industrial and Manufacturing Engineering (34 citations). Thejus Pathmakumar has collaborated with scholars based in Singapore, Japan and United States. Frequent co-authors include Mohan Rajesh Elara, Prabakaran Veerajagadheswar, Shunsuke Nansai, Balakrishnan Ramalingam, Braulio Félix Gómez, Akio Nakamura, Ning Tan, Masami Iwase, Abdullah Aamir Hayat and Madan Mohan Rayguru. Their work appears in journals such as Sensors, Applied Sciences, Expert Systems with Applications, Automation in Construction and IEEE Access.
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.