Thanassis Rikakis

1.2k total citations
55 papers, 810 citations indexed

About

Thanassis Rikakis is a scholar working on Rehabilitation, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Thanassis Rikakis has authored 55 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Rehabilitation, 19 papers in Computer Vision and Pattern Recognition and 13 papers in Cognitive Neuroscience. Recurrent topics in Thanassis Rikakis's work include Stroke Rehabilitation and Recovery (32 papers), Motor Control and Adaptation (8 papers) and Human Pose and Action Recognition (8 papers). Thanassis Rikakis is often cited by papers focused on Stroke Rehabilitation and Recovery (32 papers), Motor Control and Adaptation (8 papers) and Human Pose and Action Recognition (8 papers). Thanassis Rikakis collaborates with scholars based in United States, Japan and Italy. Thanassis Rikakis's co-authors include Yinpeng Chen, Hari Sundaram, Margaret Duff, Jiping He, Steven L. Wolf, Nicole Lehrer, Todd Ingalls, Suneth Attygalle, Gang Qian and Kanav Kahol and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Computer.

In The Last Decade

Thanassis Rikakis

53 papers receiving 765 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thanassis Rikakis United States 18 356 257 213 199 136 55 810
Maryam Khademi Iran 11 310 0.9× 208 0.8× 239 1.1× 125 0.6× 122 0.9× 53 825
Chien‐Yen Chang United States 10 393 1.1× 211 0.8× 248 1.2× 96 0.5× 115 0.8× 17 818
Hossein Mousavi Hondori United States 10 342 1.0× 151 0.6× 240 1.1× 180 0.9× 153 1.1× 19 651
Gazihan Alankuş United States 13 287 0.8× 114 0.4× 178 0.8× 95 0.5× 173 1.3× 24 748
Michael McNeill United Kingdom 15 637 1.8× 178 0.7× 427 2.0× 163 0.8× 155 1.1× 35 1.3k
Javier Varona Spain 14 107 0.3× 234 0.9× 327 1.5× 161 0.8× 57 0.4× 53 691
Luboš Omelina Belgium 14 303 0.9× 115 0.4× 94 0.4× 63 0.3× 131 1.0× 37 910
Carlos A. Cifuentes Colombia 21 288 0.8× 120 0.5× 95 0.4× 150 0.8× 554 4.1× 106 1.2k
Chee Leong Teo Singapore 14 248 0.7× 72 0.3× 331 1.6× 457 2.3× 277 2.0× 36 909
Eric Wade United States 15 209 0.6× 72 0.3× 65 0.3× 74 0.4× 193 1.4× 47 564

Countries citing papers authored by Thanassis Rikakis

Since Specialization
Citations

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

Fields of papers citing papers by Thanassis Rikakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thanassis Rikakis

This figure shows the co-authorship network connecting the top 25 collaborators of Thanassis Rikakis. A scholar is included among the top collaborators of Thanassis Rikakis 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 Thanassis Rikakis. Thanassis Rikakis 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.
Rikakis, Thanassis, et al.. (2024). A Hierarchical Bayesian Model for Cyber-Human Assessment of Movement in Upper Extremity Stroke Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3157–3166.
2.
Rikakis, Thanassis, et al.. (2021). Toward an Integrative Professional and Personal Competency-Based Learning Model for Inclusive Workforce Development. SHILAP Revista de lepidopterología. 1 indexed citations
3.
Kim, Taekyoung, Gang Zheng, Kris Kitani, et al.. (2021). Smart Skin: Vision-Based Soft Pressure Sensing System for In-Home Hand Rehabilitation. Soft Robotics. 9(3). 473–485. 18 indexed citations
4.
Rikakis, Thanassis, et al.. (2021). Automated Movement Assessment in Stroke Rehabilitation. Frontiers in Neurology. 12. 720650–720650. 4 indexed citations
5.
Rikakis, Thanassis, Aisling Kelliher, Jinwoo Choi, et al.. (2018). Semi-automated home-based therapy for the upper extremity of stroke survivors. 135. 249–256. 9 indexed citations
6.
Kitani, Kris, et al.. (2014). Automating Stroke Rehabilitation for Home-Based Therapy. National Conference on Artificial Intelligence. 1 indexed citations
7.
Duff, Margaret, et al.. (2012). Adaptive Mixed Reality Rehabilitation Improves Quality of Reaching Movements More Than Traditional Reaching Therapy Following Stroke. Neurorehabilitation and neural repair. 27(4). 306–315. 40 indexed citations
8.
Chen, Yinpeng, et al.. (2011). Design of a home-based adaptive mixed reality rehabilitation system for stroke survivors. PubMed. 2011. 7602–7605. 21 indexed citations
9.
Chen, Yinpeng, Margaret Duff, Nicole Lehrer, et al.. (2011). A Novel Adaptive Mixed Reality System for Stroke Rehabilitation: Principles, Proof of Concept, and Preliminary Application in 2 Patients. Topics in Stroke Rehabilitation. 18(3). 212–230. 16 indexed citations
10.
Chen, Yinpeng, et al.. (2011). A low cost, adaptive mixed reality system for home-based stroke rehabilitation. PubMed. 2011. 1827–1830. 17 indexed citations
11.
Lehrer, Nicole, Suneth Attygalle, Steven L. Wolf, & Thanassis Rikakis. (2011). Exploring the bases for a mixed reality stroke rehabilitation system, Part I: A unified approach for representing action, quantitative evaluation, and interactive feedback. Journal of NeuroEngineering and Rehabilitation. 8(1). 51–51. 34 indexed citations
12.
Rikakis, Thanassis. (2011). Utilizing media arts principles for developing effective interactive neurorehabilitation systems. PubMed. 2011. 1391–1394. 1 indexed citations
13.
Sundaram, Hari, Yinong Chen, & Thanassis Rikakis. (2011). A computational framework for constructing interactive feedback for assisting motor learning. PubMed. 2011. 1399–1402. 5 indexed citations
14.
Lehrer, Nicole, Yinpeng Chen, Margaret Duff, Steven L. Wolf, & Thanassis Rikakis. (2011). Exploring the bases for a mixed reality stroke rehabilitation system, Part II: Design of Interactive Feedback for upper limb rehabilitation. Journal of NeuroEngineering and Rehabilitation. 8(1). 54–54. 37 indexed citations
15.
Duff, Margaret, Yinpeng Chen, Suneth Attygalle, et al.. (2010). An Adaptive Mixed Reality Training System for Stroke Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 18(5). 531–541. 69 indexed citations
16.
Duff, Margaret, Suneth Attygalle, Jiping He, & Thanassis Rikakis. (2008). A portable, low-cost assessment device for reaching times. PubMed. 214. 4150–4153. 11 indexed citations
17.
Spanias, Andreas, et al.. (2006). Adaptive beamforming and particle filtering. International Conference on Signal Processing. 147–151. 1 indexed citations
18.
Chen, Yinpeng, He Huang, Hari Sundaram, et al.. (2006). The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation. 763–772. 42 indexed citations
19.
Huang, He, et al.. (2005). Interactive Multimodal Biofeedback for Task-Oriented Neural Rehabilitation. PubMed. 4. 2547–2550. 40 indexed citations
20.
Kahol, Kanav, et al.. (2004). Gesture segmentation in complex motion sequences. 3. II–105. 42 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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