Maxim Makhinya

About

Maxim Makhinya is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Maxim Makhinya has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Graphics and Computer-Aided Design and 3 papers in Computational Mechanics. Recurrent topics in Maxim Makhinya’s work include Computer Graphics and Visualization Techniques (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). Maxim Makhinya is often cited by papers focused on Computer Graphics and Visualization Techniques (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). Maxim Makhinya collaborates with scholars based in Switzerland, Italy and United States. Maxim Makhinya's co-authors include Renato Pajarola, Stefan Eilemann, Orçun Göksel, Philipp Schlegel, Enrico Gobbetti, José A. Iglesias-Guitián, Susanne K. Suter, Fabio Marton, Oliver Mattausch and Alessandro Crimi and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Co-authorship network of co-authors of Maxim Makhinya i

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Fields of papers citing papers by Maxim Makhinya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maxim Makhinya

Since Specialization

Citations

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

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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