Artem Shelmanov

21 papers and 141 indexed citations i.

About

Artem Shelmanov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Artem Shelmanov has authored 21 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Artem Shelmanov’s work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Machine Learning and Algorithms (4 papers). Artem Shelmanov is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Machine Learning and Algorithms (4 papers). Artem Shelmanov collaborates with scholars based in Russia, United States and Australia. Artem Shelmanov's co-authors include Alexander Panchenko, Dmitry V. Dylov, Chris Biemann, Mikhail Arkhipov, Irina Fedulova, Gleb Gusev, Ekaterina Artemova, Olga Kozlova, Leonid Zhukov and Maxim S. Panov and has published in prestigious journals such as Scientific Reports, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Artem Shelmanov i

Fields of papers citing papers by Artem Shelmanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Artem Shelmanov

Since Specialization
Citations

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