Bohdan Rusyn

805 total citations
79 papers, 464 citations indexed

About

Bohdan Rusyn is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Bohdan Rusyn has authored 79 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 15 papers in Information Systems. Recurrent topics in Bohdan Rusyn's work include Information Systems and Technology Applications (11 papers), Advanced Image Fusion Techniques (8 papers) and Medical Image Segmentation Techniques (7 papers). Bohdan Rusyn is often cited by papers focused on Information Systems and Technology Applications (11 papers), Advanced Image Fusion Techniques (8 papers) and Medical Image Segmentation Techniques (7 papers). Bohdan Rusyn collaborates with scholars based in Ukraine, Poland and United States. Bohdan Rusyn's co-authors include Victoria Vysotska, О. Z. Student, H. М. Nykyforchyn, Vasyl Lytvyn, Lyubomyr Chyrun, Anatoliy Sachenko, Aleksandr Gozhyj, Taras Maksymyuk, Juraj Gazda and Mykola Beshley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Bohdan Rusyn

68 papers receiving 361 citations

Peers

Bohdan Rusyn
Comparison fields: 5 of 86
  • Management Information Systems 129
  • Artificial Intelligence 108
  • Materials Chemistry 101
  • Computer Vision and Pattern Recognition 93
  • Mechanical Engineering 76
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Citations per field, relative to Bohdan Rusyn
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Citations per year, relative to Bohdan Rusyn
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Countries citing papers authored by Bohdan Rusyn

Since Specialization
Citations

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

Fields of papers citing papers by Bohdan Rusyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bohdan Rusyn

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 9
5 1
6 5
7
Information System of Photostock Web Galleries Based on Machine Learning Technology.
1
8
An Intelligent System for Commercial of Information Products Distribution Based SEO and Sitecore CMS.
4
9 1
10 0
11 2
12 1
13 2
14
Choosing the method of finding similar images in the reverse search system
14
15
Accuracy estimate of modeling of pitting corrosion using cellular automata
0
16
Influence of ultrafine ground fly ash on the microstructure and properties of cementitious materials
1
17
Multilevel image thresholding based on histograms' peaks clustering
1
18
Application of wawelet-transformation in to the system of speech recognition
1
19
The estimation of rotation and shift between images with the logarithmic-energy form of radon transform
1
20
The Radon transform application for accurate and efficient curve
11

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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