Can Tunca

1.3k citations
20 papers · 953 · h-index 12

Impact in

Papers in

Can Tunca

19 papers receiving 914 citations

Peers

Can Tunca
Comparison fields: 5 of 84
  • Physical Therapy, Sports Therapy and Rehabilitation 177
  • Computer Networks and Communications 552
  • Computer Vision and Pattern Recognition 150
  • Electrical and Electronic Engineering 330
  • Biomedical Engineering 233
Replace Chien-Chi Chang with:
Chien-Chi Chang United States
Adam T. Barth United States
Jouni Rantakokko Sweden
Navid Amini Iran
Ferhat Attal France
Albert Samà Spain
James Pope United Kingdom
Alar Kuusik Estonia
Franco Ferraris Italy
Chae-Woo Lee South Korea
Can Tunca relative to Chien-Chi Chang United States Chien-Chi Chang's profile →
Citations per field
00.5×3.9×
Chien-Chi Chang · 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 13 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 2013233
2 2014181
3 2017110
4 201990
5 202080
6 202062
7 201446
8 202042
9 201927
10 201222
11 201419
12 201816
13 20219
14 20174
15 20133
16 20173
17 20133
18 20202
19 20171
20 20220

About Can Tunca

Can Tunca is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 20 papers that have together received 953 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), Advanced Semiconductor Detectors and Materials (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Energy Harvesting in Wireless Networks (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 (177 citations), Computer Networks and Communications (552 citations), Computer Vision and Pattern Recognition (150 citations), Electrical and Electronic Engineering (330 citations) and Biomedical Engineering (233 citations). Can Tunca has collaborated with scholars based in Türkiye and Germany. Frequent co-authors include Cem Ersoy, Sinan Isik, Mehmet Yunus Donmez, Bert Arnrich, Atay Özgövde, Cagatay Sonmez, Urs Granacher, Clemens Markus Brahms, Hande Alemdar and Lin Zhou. Their work appears in journals such as Sensors, IEEE Transactions on Mobile Computing, IEEE Transactions on Intelligent Transportation Systems, IEEE Journal of Biomedical and Health Informatics and Personal and Ubiquitous Computing.

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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