Kamen Kanev

578 total citations
63 papers, 299 citations indexed

About

Kamen Kanev is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Kamen Kanev has authored 63 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Human-Computer Interaction, 20 papers in Computer Vision and Pattern Recognition and 9 papers in Sociology and Political Science. Recurrent topics in Kamen Kanev's work include Interactive and Immersive Displays (11 papers), Multimedia Communication and Technology (8 papers) and Augmented Reality Applications (7 papers). Kamen Kanev is often cited by papers focused on Interactive and Immersive Displays (11 papers), Multimedia Communication and Technology (8 papers) and Augmented Reality Applications (7 papers). Kamen Kanev collaborates with scholars based in Japan, Canada and Italy. Kamen Kanev's co-authors include M. Vynnycky, S. Kimura, Ioan Pop, Reneta P. Barneva, Bill Kapralos, Tomoyuki Sugiyama, Nikolay Mirenkov, V. A. Gnatyuk, Vygantas Mizeikis and Michael Jenkin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and International Journal of Heat and Mass Transfer.

In The Last Decade

Kamen Kanev

56 papers receiving 283 citations

Peers

Kamen Kanev
Comparison fields: 5 of 89
  • Computational Mechanics 70
  • Biomedical Engineering 60
  • Human-Computer Interaction 57
  • Mechanical Engineering 51
  • Computer Vision and Pattern Recognition 49
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Ruihang Chu Hong Kong View profile →
Citations per field, relative to Kamen Kanev
Kamen Kanev · 1×
Citations per year, relative to Kamen Kanev
Kamen Kanev · 1×

Countries citing papers authored by Kamen Kanev

Since Specialization
Citations

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

Fields of papers citing papers by Kamen Kanev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamen Kanev

This figure shows the co-authorship network connecting the top 25 collaborators of Kamen Kanev. A scholar is included among the top collaborators of Kamen Kanev 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 Kamen Kanev. Kamen Kanev 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
# Work Indexed citations
1 1
2 5
3 1
4 2
5
Smart TV Face Monitoring for Children Privacy
1
6 7
7 7
8 1
9 27
10 2
11 6
12 3
13 5
14 1
15 5
16
Mobile music therapy with multimedia quality of life supporters for elderly and disabled
2
17 1
18 3
19 2
20 2

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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