Ilya A. Petrov

456 citations
5 papers · 237 indexed · h-index 4
Journals
IET Computer Vision (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2022 IEEE International Conference on Image Processing (ICIP) (1 paper)

In The Last Decade

Ilya A. Petrov

4 papers receiving 225 citations

Peers

Ilya A. Petrov
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 178
  • Human-Computer Interaction 22
  • Computer Graphics and Computer-Aided Design 10
  • Control and Systems Engineering 52
  • Computational Mechanics 37
Replace Jiehong Lin with:
Jiehong Lin China
Hwasup Lim South Korea
Xiangyang Ji China
Fu Xiong Singapore
Hanno Ackermann Germany
Stavros Tsogkas Canada
Guillermo Garcia-Hernando United Kingdom
Khoi Nguyen United States
Yipeng Qin United Kingdom
Joerg Liebelt France
Ilya A. Petrov relative to Jiehong Lin China Jiehong Lin's profile →
Citations per field
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Jiehong Lin · 1×
Citations per year

Countries citing papers authored by Ilya A. Petrov

Since Specialization
Citations

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

Fields of papers citing papers by Ilya A. Petrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ilya A. Petrov. 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 Ilya A. Petrov. The network helps show where Ilya A. Petrov may publish in the future.

Co-authorship network

The 6 scholars most cited alongside Ilya A. Petrov, 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 Ilya A. Petrov Line = papers co-authored together Ilya A. Petrov links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Ilya A. Petrov

Ilya A. Petrov is a scholar working on Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 5 papers that have together received 237 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Advanced Image and Video Retrieval Techniques (1 paper), Aluminum Alloy Microstructure Properties (1 paper), Bauxite Residue and Utilization (1 paper), Multimodal Machine Learning Applications (1 paper), Advanced Vision and Imaging (1 paper), Advanced Neural Network Applications (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Human-Computer Interaction (22 citations) and Computer Graphics and Computer-Aided Design (10 citations). Ilya A. Petrov has collaborated with scholars based in Germany, Russia and United States. Frequent co-authors include Anton Konushin, Gerard Pons‐Moll, Cristian Sminchisescu, Christian Theobalt, Bharat Lal Bhatnagar and Riccardo Marin. Their work appears in journals such as IET Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2022 IEEE International Conference on Image Processing (ICIP).

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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