Can Tunca

1.3k total citations
20 papers, 953 citations indexed

About

Can Tunca is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Can Tunca has authored 20 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Computer Networks and Communications and 7 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Can Tunca's work include Balance, Gait, and Falls Prevention (7 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Context-Aware Activity Recognition Systems (6 papers). Can Tunca is often cited by papers focused on Balance, Gait, and Falls Prevention (7 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Context-Aware Activity Recognition Systems (6 papers). Can Tunca collaborates with scholars based in Türkiye and Germany. Can Tunca's co-authors include Cem Ersoy, Sinan Isik, Mehmet Yunus Donmez, Bert Arnrich, Atay Özgövde, Cagatay Sonmez, Urs Granacher, Lin Zhou, Hande Alemdar and Clemens Markus Brahms and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

In The Last Decade

Can Tunca

19 papers receiving 914 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Can Tunca Türkiye 12 552 330 233 177 150 20 953
Adam T. Barth United States 12 413 0.7× 258 0.8× 730 3.1× 121 0.7× 545 3.6× 21 1.2k
James Pope United Kingdom 11 148 0.3× 119 0.4× 212 0.9× 52 0.3× 106 0.7× 38 494
Alar Kuusik Estonia 10 318 0.6× 260 0.8× 198 0.8× 30 0.2× 105 0.7× 44 646
Franco Ferraris Italy 12 153 0.3× 211 0.6× 183 0.8× 63 0.4× 79 0.5× 31 744
Foad Dabiri United States 15 278 0.5× 173 0.5× 282 1.2× 24 0.1× 151 1.0× 40 666
Albert Samà Spain 18 168 0.3× 102 0.3× 585 2.5× 347 2.0× 571 3.8× 36 1.5k
Ferhat Attal France 10 152 0.3× 79 0.2× 347 1.5× 88 0.5× 481 3.2× 19 858
Chae-Woo Lee South Korea 17 282 0.5× 525 1.6× 66 0.3× 134 0.8× 47 0.3× 68 1.2k
Navid Amini Iran 12 163 0.3× 164 0.5× 269 1.2× 45 0.3× 169 1.1× 33 615
Chien-Chi Chang United States 15 404 0.7× 302 0.9× 134 0.6× 100 0.6× 38 0.3× 36 937

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-authorship network of co-authors of Can Tunca

This figure shows the co-authorship network connecting the top 25 collaborators of Can Tunca. A scholar is included among the top collaborators of Can Tunca based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Can Tunca. Can Tunca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tunca, Can, et al.. (2022). SWIR photodetector development at ASELSAN. 6–6.
2.
Zhou, Lin, Clemens Markus Brahms, Can Tunca, et al.. (2021). TRIPOD—A Treadmill Walking Dataset with IMU, Pressure-Distribution and Photoelectric Data for Gait Analysis. Data. 6(9). 95–95. 9 indexed citations
3.
Zhou, Lin, Eric W. Fischer, Can Tunca, et al.. (2020). How We Found Our IMU: Guidelines to IMU Selection and a Comparison of Seven IMUs for Pervasive Healthcare Applications. Sensors. 20(15). 4090–4090. 62 indexed citations
4.
Sonmez, Cagatay, Can Tunca, Atay Özgövde, & Cem Ersoy. (2020). Machine Learning-Based Workload Orchestrator for Vehicular Edge Computing. IEEE Transactions on Intelligent Transportation Systems. 22(4). 2239–2251. 80 indexed citations
5.
Zhou, Lin, Can Tunca, Eric W. Fischer, et al.. (2020). Validation of an IMU Gait Analysis Algorithm for Gait Monitoring in Daily Life Situations. PubMed. 2020. 4229–4232. 42 indexed citations
6.
Tunca, Can, et al.. (2020). 640 x 480 17 um microbolometer uncooled detector development at ASELSAN, Inc.. 26–26. 2 indexed citations
7.
Ersoy, Cem, et al.. (2019). Gait Analysis Using Smartwatches. 1–6. 27 indexed citations
8.
Tunca, Can, et al.. (2019). Deep Learning for Fall Risk Assessment With Inertial Sensors: Utilizing Domain Knowledge in Spatio-Temporal Gait Parameters. IEEE Journal of Biomedical and Health Informatics. 24(7). 1994–2005. 90 indexed citations
9.
Baktır, Ahmet Cihat, et al.. (2018). SDN-Based Multi-Tier Computing and Communication Architecture for Pervasive Healthcare. IEEE Access. 6. 56765–56781. 16 indexed citations
10.
Tunca, Can, et al.. (2017). Gait analysis using kinect: Towards in-home gait analysis. 14. 1–4. 1 indexed citations
11.
Tunca, Can, et al.. (2017). Development of a fully programmable ROIC with 15 μm pixel pitch for MWIR applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10177. 1017720–1017720. 3 indexed citations
12.
Tunca, Can, et al.. (2017). Inertial Sensor-Based Robust Gait Analysis in Non-Hospital Settings for Neurological Disorders. Sensors. 17(4). 825–825. 110 indexed citations
13.
Tunca, Can, et al.. (2017). Low-noise readout circuit for SWIR focal plane arrays. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10177. 1017707–1017707. 4 indexed citations
14.
Tunca, Can, et al.. (2014). Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents. Sensors. 14(6). 9692–9719. 46 indexed citations
15.
Alemdar, Hande, Can Tunca, & Cem Ersoy. (2014). Daily life behaviour monitoring for health assessment using machine learning: bridging the gap between domains. Personal and Ubiquitous Computing. 19(2). 303–315. 19 indexed citations
16.
Tunca, Can, Sinan Isik, Mehmet Yunus Donmez, & Cem Ersoy. (2014). Ring Routing: An Energy-Efficient Routing Protocol for Wireless Sensor Networks with a Mobile Sink. IEEE Transactions on Mobile Computing. 14(9). 1947–1960. 181 indexed citations
17.
Tunca, Can, Sinan Isik, Mehmet Yunus Donmez, & Cem Ersoy. (2013). Performance evaluation of heterogeneous wireless sensor networks for forest fire detection. 182. 1–4. 3 indexed citations
18.
Isik, Sinan, Mehmet Yunus Donmez, Can Tunca, & Cem Ersoy. (2013). Performance evaluation of wireless sensor networks in realistic wildfire simulation scenarios. 6. 109–118. 3 indexed citations
19.
Tunca, Can, Sinan Isik, Mehmet Yunus Donmez, & Cem Ersoy. (2013). Distributed Mobile Sink Routing for Wireless Sensor Networks: A Survey. IEEE Communications Surveys & Tutorials. 16(2). 877–897. 233 indexed citations
20.
Tunca, Can, Mehmet Yunus Donmez, Sinan Isik, & Cem Ersoy. (2012). Ring routing: An energy-efficient routing protocol for wireless sensor networks with a mobile sink. 1–4. 22 indexed citations

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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