Maksim Lapin

6 papers and 204 indexed citations i.

About

Maksim Lapin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Maksim Lapin has authored 6 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Maksim Lapin’s work include Domain Adaptation and Few-Shot Learning (4 papers), Machine Learning and Algorithms (3 papers) and Face and Expression Recognition (2 papers). Maksim Lapin is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Machine Learning and Algorithms (3 papers) and Face and Expression Recognition (2 papers). Maksim Lapin collaborates with scholars based in Germany. Maksim Lapin's co-authors include Bernt Schiele, Matthias Hein and Pratik Jawanpuria and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Maksim Lapin i

Fields of papers citing papers by Maksim Lapin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maksim Lapin

Since Specialization
Citations

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