Maksims Volkovs

About

Maksims Volkovs is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Maksims Volkovs has authored 24 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Maksims Volkovs’s work include Multimodal Machine Learning Applications (6 papers), Recommender Systems and Techniques (4 papers) and Human Pose and Action Recognition (4 papers). Maksims Volkovs is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Recommender Systems and Techniques (4 papers) and Human Pose and Action Recognition (4 papers). Maksims Volkovs collaborates with scholars based in Canada, United States and Brazil. Maksims Volkovs's co-authors include Guang Yu, Tomi Poutanen, Richard S. Zemel, W. F. Mader, Tristan Watson, Laura C. Rosella, Jaroslaw Szlichta, Renée J. Miller, Fei Chiang and Vinyas Harish and has published in prestigious journals such as Nature Communications, Journal of Machine Learning Research and BMJ Open.

In The Last Decade

Co-authorship network of co-authors of Maksims Volkovs i

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Fields of papers citing papers by Maksims Volkovs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maksims Volkovs

Since Specialization

Citations

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