Can Tunca

1.3k citations
20 papers · 1.0k · h-index 12

Impact in

Papers in

Can Tunca

19 papers receiving 1.0k citations

Peers

Can Tunca
Comparison fields: 5 of 83
  • Physical Therapy, Sports Therapy and Rehabilitation 179
  • Computer Networks and Communications 603
  • Computer Vision and Pattern Recognition 162
  • Electrical and Electronic Engineering 349
  • Biomedical Engineering 237
Replace Roger Pissard-Gibollet with:
Roger Pissard-Gibollet France
Adam T. Barth United States
Ferhat Attal France
Alar Kuusik Estonia
Navid Amini Iran
Foad Dabiri United States
Chae-Woo Lee South Korea
Jouni Rantakokko Sweden
Franco Ferraris Italy
James Pope United Kingdom
Can Tunca relative to Roger Pissard-Gibollet France Roger Pissard-Gibollet's profile →
Citations per field
00.5×2×2.9×
Roger Pissard-Gibollet · 1×
Citations per year

Countries citing papers authored by Can Tunca

Since Specialization
Citations

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

Fields of papers citing papers by Can Tunca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Can Tunca, 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 Can Tunca Line = papers co-authored together Can Tunca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2013257
2 2014197
3 2017115
4 201994
5 202083
6 202069
7 201457
8 202046
9 201929
10 201226
11 201423
12 201819
13 202110
14 20175
15 20134
16 20133
17 20173
18 20202
19 20171
20 20220

About Can Tunca

Can Tunca is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (7 papers), Energy Efficient Wireless Sensor Networks (6 papers), Context-Aware Activity Recognition Systems (6 papers), Gait Recognition and Analysis (5 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Energy Harvesting in Wireless Networks (3 papers), Advanced Semiconductor Detectors and Materials (3 papers) and Fire Detection and Safety Systems (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (179 citations), Computer Networks and Communications (603 citations), Computer Vision and Pattern Recognition (162 citations), Electrical and Electronic Engineering (349 citations) and Biomedical Engineering (237 citations). Can Tunca has collaborated with scholars based in Türkiye and Germany. Frequent co-authors include Cem Ersoy, Mehmet Yunus Donmez, Sinan Isik, Bert Arnrich, Atay Özgövde, Cagatay Sonmez, Hande Ozgur Alemdar, Lin J. Zhou, Urs Granacher and Clemens Markus Brahms. Their work appears in journals such as Sensors, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Intelligent Transportation Systems, Personal and Ubiquitous Computing 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.

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