Dmitry Chetverikov
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- Advanced Vision and Imaging 35
- Image Retrieval and Classification Techniques 15
- Advanced Image and Video Retrieval Techniques 13
- Image Enhancement Techniques 11
- Optical measurement and interference techniques 10
- Image and Object Detection Techniques 9
- Geology top 1%
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization 15
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- Industrial Vision Systems and Defect Detection 10
Dmitry Chetverikov
72 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 1.2k
- Geology 319
- Computer Graphics and Computer-Aided Design 109
- Aerospace Engineering 660
- Industrial and Manufacturing Engineering 210
Countries citing papers authored by Dmitry Chetverikov
This map shows the geographic impact of Dmitry Chetverikov'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 Dmitry Chetverikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Chetverikov more than expected).
Fields of papers citing papers by Dmitry Chetverikov
This network shows the impact of papers produced by Dmitry Chetverikov. 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 Dmitry Chetverikov. The network helps show where Dmitry Chetverikov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dmitry Chetverikov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 8 | |
| 2 | 2021 | 9 | |
| 3 | 2020 | 54 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 9 | |
| 6 | 2016 | 4 | |
| 7 | Active contour detection for the segmentation of optical coherence tomography images of the retina | 2014 | 1 |
| 8 | 2014 | 2 | |
| 9 | 2012 | 1 | |
| 10 | 3D reconstruction by multimodal data fusion | 2010 | 3 |
| 11 | Dense 3D reconstruction from images by normal aided matching | 2006 | 20 |
| 12 | 2005 | 5 | |
| 13 | 2004 | 6 | |
| 14 | 2004 | 2 | |
| 15 | 2003 | 11 | |
| 16 | 2002 | 106 | |
| 17 | A simple and efficient algorithm for detection of high curvature points in planar curves | 1999 | 1 |
| 18 | Digital particle image velocimetry: a challenge for feature based tracking | 1999 | 6 |
| 19 | 1992 | 11 | |
| 20 | 1990 | 5 |
About Dmitry Chetverikov
Dmitry Chetverikov is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (35 papers), Image Retrieval and Classification Techniques (15 papers), Robotics and Sensor-Based Localization (15 papers), Advanced Image and Video Retrieval Techniques (13 papers), Image Enhancement Techniques (11 papers), Optical measurement and interference techniques (10 papers), Industrial Vision Systems and Defect Detection (10 papers) and Image and Object Detection Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Geology (319 citations) and Computer Graphics and Computer-Aided Design (109 citations). Dmitry Chetverikov has collaborated with scholars based in Hungary, Jordan and Czechia. Frequent co-authors include Dmitry Stepanov, Pavel Kršek, S Fazekas, Allan Hanbury, Ahmad S. Tarawneh, Ahmad B. Hassanat, Alessandro Artusi, Francesco Banterle, Anikó Ekárt and József Molnár. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.
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.