Gregorij Kurillo

3.8k citations
90 papers · 2.6k indexed · 1 hit paper · h-index 28

Impact in

Papers in

Gregorij Kurillo

89 papers receiving 2.5k citations

Hit Papers

Berkeley MHAD: A comprehensive Multimodal Human Action Database 2013 · 327 citations
3272013202620172021100200300

Peers

Gregorij Kurillo
Comparison fields: 5 of 135
  • Human-Computer Interaction 651
  • Computer Vision and Pattern Recognition 1.5k
  • Rehabilitation 394
  • Computer Graphics and Computer-Aided Design 88
  • Physical Therapy, Sports Therapy and Rehabilitation 99
Replace Zhe Cao with:
Zhe Cao China
Shih-En Wei United States
Verônica Teichrieb Brazil
Evan A. Suma United States
Hubert P. H. Shum United Kingdom
Mark Bolas United States
Ronan Boulic Switzerland
Darren Cosker United Kingdom
Gerard Jounghyun Kim South Korea
Shouqian Sun China
Gregorij Kurillo relative to Zhe Cao China Zhe Cao's profile →
Citations per field
00.5×10×20×30×36.7×
Zhe Cao · 1×
Citations per year

Countries citing papers authored by Gregorij Kurillo

Since Specialization
Citations

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

Fields of papers citing papers by Gregorij Kurillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Gregorij Kurillo, 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 Gregorij Kurillo Line = papers co-authored together Gregorij Kurillo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20224
2 20222
3 20202
4 20206
5 201913
6 201911
7 20197
8 201812
9 201642
10 201619
11 201552
12 201526
13 201383
14 2012234
15 20125
16 20107
17 20084
18
Electroencephalographic (eeg) coherence between visual and motor areas of the left and the right brain hemisphere while performing visuomotor task with the right and the left hand
20073
19 200465
20 20038

About Gregorij Kurillo

Gregorij Kurillo is a scholar working on Human-Computer Interaction, Rehabilitation, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 90 papers that have together received 2.6k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (22 papers), Stroke Rehabilitation and Recovery (20 papers), Advanced Vision and Imaging (18 papers), Human Pose and Action Recognition (12 papers), Virtual Reality Applications and Impacts (9 papers), Prosthetics and Rehabilitation Robotics (8 papers), Image and Video Quality Assessment (8 papers) and Optical measurement and interference techniques (8 papers). The work is most often cited by research in Human-Computer Interaction (651 citations), Computer Vision and Pattern Recognition (1.5k citations), Rehabilitation (394 citations), Computer Graphics and Computer-Aided Design (88 citations) and Physical Therapy, Sports Therapy and Rehabilitation (99 citations). Gregorij Kurillo has collaborated with scholars based in United States, Slovenia and South Korea. Frequent co-authors include Růžena Bajcsy, Ferda Ofli, Renè Vidal, Rizwan Chaudhry, Jay J. Han, Tadej Bajd, Štěpán Obdržálek, Alina Nicorici, Holly Jimison and Misha Pavel. Their work appears in journals such as Muscle & Nerve, Clinical Biomechanics, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Journal of Biomedical and Health Informatics and Neurology.

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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