Dmitry Nikolaev

1.8k citations
163 papers · 935 · h-index 14

Impact in

    • Handwritten Text Recognition Techniques
    • Image and Object Detection Techniques
    • Image Processing and 3D Reconstruction
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques

Papers in

Dmitry Nikolaev

151 papers receiving 842 citations

Peers

Dmitry Nikolaev
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 585
  • Media Technology 131
  • Radiology, Nuclear Medicine and Imaging 119
  • Artificial Intelligence 129
  • Geology 22
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Citations per field
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Citations per year

Countries citing papers authored by Dmitry Nikolaev

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Nikolaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201541
2 200838
3 201735
4 201530
5 201929
6 200329
7 201526
8 202022
9 201021
10 201620
11 201918
12 202116
13 201815
14 201515
15 201713
16 202013
17 202112
18 202212
19 201812
20 202012

About Dmitry Nikolaev

Dmitry Nikolaev is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Media Technology and Artificial Intelligence, having authored 163 papers that have together received 935 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (37 papers), Medical Imaging Techniques and Applications (32 papers), Advanced X-ray and CT Imaging (31 papers), Image Processing and 3D Reconstruction (26 papers), Radiation Dose and Imaging (20 papers), Handwritten Text Recognition Techniques (19 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Image Retrieval and Classification Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (585 citations), Media Technology (131 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Artificial Intelligence (129 citations) and Geology (22 citations). Dmitry Nikolaev has collaborated with scholars based in Russia, United Kingdom and Italy. Frequent co-authors include Vladimir V. Arlazarov, Marina Chukalina, Alexander Sheshkus, Boris Miller, Alexander Miller, А. В. Бузмаков, Anastasia Ingacheva, Gerald Schaefer, В. Е. Асадчиков and Д. А. Золотов. Their work appears in journals such as Computer Optics, IEEE Access, Perception, Sensors and Journal of Applied Crystallography.

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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