T. Leo

668 citations
37 papers · 465 · h-index 13

Impact in

Papers in

T. Leo

35 papers receiving 433 citations

Peers

T. Leo
Comparison fields: 5 of 81
  • Physical Therapy, Sports Therapy and Rehabilitation 53
  • Human-Computer Interaction 42
  • Control and Systems Engineering 170
  • Computer Vision and Pattern Recognition 144
  • Architecture 9
Replace Jacob Apkarian with:
Jacob Apkarian Canada
Sho Yokota Japan
Kap-Ho Seo South Korea
Pierre Merriaux France
Andrew P. Murray United States
Norhafizan Ahmad Malaysia
Josip Musić Croatia
Daisuke Chugo Japan
Chikamune Wada Japan
Simone Pasinetti Italy
T. Leo relative to Jacob Apkarian Canada Jacob Apkarian's profile →
Citations per field
00.5×1.7×
Jacob Apkarian · 1×
Citations per year

Countries citing papers authored by T. Leo

Since Specialization
Citations

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

Fields of papers citing papers by T. Leo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Leo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Leo Line = papers co-authored together T. Leo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200261
2 199752
3 200044
4 199940
5 200532
6 198230
7 200530
8 199022
9 200017
10 199216
11 200316
12 198015
13 199512
14 199810
15 20049
16 19939
17 20026
18 20006
19 19904
20 20103

About T. Leo

T. Leo is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Media Technology, having authored 37 papers that have together received 465 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Control and Dynamics of Mobile Robots (6 papers), Muscle activation and electromyography studies (5 papers), Advanced Control Systems Optimization (4 papers), Adaptive Control of Nonlinear Systems (4 papers), Experimental Learning in Engineering (4 papers), Balance, Gait, and Falls Prevention (4 papers) and Robotics and Automated Systems (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (53 citations), Human-Computer Interaction (42 citations), Control and Systems Engineering (170 citations), Computer Vision and Pattern Recognition (144 citations) and Architecture (9 citations). T. Leo has collaborated with scholars based in Italy, France and Denmark. Frequent co-authors include M.L. Corradini, G. Orlando, Sandro Fioretti, Sauro Longhi, Roberto Piperno, Andrea Bonci, Federica Verdini, Maria Grazia Benedetti, Aurelio Cappozzo and L. Jetto. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Gait & Posture, Clinical Biomechanics, Prosthetics and Orthotics International and Journal of Biomechanics.

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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