Aleksandr Farseev

14 papers and 139 indexed citations i.

About

Aleksandr Farseev is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aleksandr Farseev has authored 14 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aleksandr Farseev’s work include Complex Network Analysis Techniques (5 papers), Recommender Systems and Techniques (5 papers) and Digital Marketing and Social Media (3 papers). Aleksandr Farseev is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Recommender Systems and Techniques (5 papers) and Digital Marketing and Social Media (3 papers). Aleksandr Farseev collaborates with scholars based in Russia, Singapore and Australia. Aleksandr Farseev's co-authors include Tat‐Seng Chua, Andrey Filchenkov, Richang Hong, Luming Zhang, Liqiang Nie, Meng Wang, Sergey Nikolenko, Mohammad Akbari, Vinod Chandran and Dian Tjondronegoro and has published in prestigious journals such as ACM Transactions on Intelligent Systems and Technology, Frontiers in Big Data and ACM transactions on office information systems.

In The Last Decade

Co-authorship network of co-authors of Aleksandr Farseev i

Fields of papers citing papers by Aleksandr Farseev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aleksandr Farseev

Since Specialization
Citations

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