Genci Capi

58 papers and 596 indexed citations i.

About

Genci Capi is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Genci Capi has authored 58 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 22 papers in Control and Systems Engineering and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Genci Capi’s work include Robotic Locomotion and Control (15 papers), Robot Manipulation and Learning (13 papers) and Robotics and Automated Systems (10 papers). Genci Capi is often cited by papers focused on Robotic Locomotion and Control (15 papers), Robot Manipulation and Learning (13 papers) and Robotics and Automated Systems (10 papers). Genci Capi collaborates with scholars based in Japan, Malaysia and Albania. Genci Capi's co-authors include Yasuo Nasu, K. Mitobe, Md. Delowar Hossain, Ken‐ichi Arai, Shintaroh Iwanaga, Makoto Nakamura, Yuichi Nishiyama, Leonard Barolli, Mitsuru JINDAI and Kenji Doya and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Transactions on Robotics.

In The Last Decade

Co-authorship network of co-authors of Genci Capi i

Fields of papers citing papers by Genci Capi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Genci Capi

Since Specialization
Citations

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

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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2025