Victor Eruhimov

834 citations
12 papers · 474 indexed · 1 hit paper · h-index 6
Topics
Robotics and Sensor-Based Localization (5 papers)Advanced Vision and Imaging (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)
Journals
Communications of the ACMQueuePattern Recognition and Image Analysis

In The Last Decade

Victor Eruhimov

11 papers receiving 442 citations

Hit Papers

Real-time computer vision with OpenCV2012202620162021201250100150200250

Peers

Victor Eruhimov
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 258
  • Control and Systems Engineering 107
  • Aerospace Engineering 89
  • Biomedical Engineering 60
  • Artificial Intelligence 56
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Kun Qian China
Luís Garrote Portugal
Liwei Zhang China
Stefan Fuchs Germany
Sumit Gupta India
G. Benet Spain
Vítor Santos Portugal
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Victor Eruhimov relative to Kun Qian China Kun Qian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Victor Eruhimov

Since Specialization
Citations

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

Fields of papers citing papers by Victor Eruhimov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Eruhimov

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Eruhimov. A scholar is included among the top collaborators of Victor Eruhimov 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 Victor Eruhimov. Victor Eruhimov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 40
3 23
4
Real-time computer vision with OpenCVbreakdown →
270
5 1
6 9
7 118
8
Transferring knowledge by prior feature sampling
1
9 1
10 1
11 6
12 3

About Victor Eruhimov

Victor Eruhimov is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Signal Processing, having authored 12 papers that have together received 474 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (258 citations), Human-Computer Interaction (43 citations) and Control and Systems Engineering (107 citations). Victor Eruhimov has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Kari Pulli, Gary Bradski, Wim Meeussen, Patrick Mihelich, Bhaskara Marthi, Marius Muja, Sachin Chitta, Eitan Marder-Eppstein, Tully Foote and Radu Bogdan Rusu. Their work appears in journals such as Communications of the ACM, Queue and Pattern Recognition and Image Analysis.

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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