Eduard Snezhko

420 total citations
12 papers, 198 citations indexed

About

Eduard Snezhko is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Eduard Snezhko has authored 12 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Eduard Snezhko's work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Advanced MRI Techniques and Applications (3 papers). Eduard Snezhko is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Advanced MRI Techniques and Applications (3 papers). Eduard Snezhko collaborates with scholars based in Belarus, Russia and Switzerland. Eduard Snezhko's co-authors include Pierre G. Carlier, Paulo Loureiro de Sousa, Pierre‐Yves Baudin, Olivier Scheidegger, Benjamin Marty, D. Vlodavets, Vassili Kovalev, Mehdi Alilou, Andrei Gabrielian and Vitali Liauchuk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and ACM Computing Surveys.

In The Last Decade

Eduard Snezhko

9 papers receiving 192 citations

Peers

Eduard Snezhko
Comparison fields: 5 of 52
  • Radiology, Nuclear Medicine and Imaging 87
  • Molecular Biology 56
  • Pulmonary and Respiratory Medicine 44
  • Artificial Intelligence 29
  • Cellular and Molecular Neuroscience 26
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Citations per field, relative to Eduard Snezhko
Eduard Snezhko · 1×
Citations per year, relative to Eduard Snezhko
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Countries citing papers authored by Eduard Snezhko

Since Specialization
Citations

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

Fields of papers citing papers by Eduard Snezhko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduard Snezhko

This figure shows the co-authorship network connecting the top 25 collaborators of Eduard Snezhko. A scholar is included among the top collaborators of Eduard Snezhko 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 Eduard Snezhko. Eduard Snezhko 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
# Work Indexed citations
1 7
2 1
3 2
4 1
5 0
6
ImageCLEF 2018: Lesion-based TB-descriptor for CT Image Analysis.
4
7 0
8 136
9 1
10 37
11
Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art.
9
12 0

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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2026