Rinat Khusainov

54 total papers · 708 total citations
35 papers, 500 citations indexed

About

Rinat Khusainov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Rinat Khusainov has authored 35 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Rinat Khusainov's work include Context-Aware Activity Recognition Systems (10 papers), Personal Information Management and User Behavior (7 papers) and Solar Thermal and Photovoltaic Systems (6 papers). Rinat Khusainov is often cited by papers focused on Context-Aware Activity Recognition Systems (10 papers), Personal Information Management and User Behavior (7 papers) and Solar Thermal and Photovoltaic Systems (6 papers). Rinat Khusainov collaborates with scholars based in United Kingdom and India. Rinat Khusainov's co-authors include Djamel Azzi, Ifeyinwa E. Achumba, Sourav Khanna, David Hutchinson, Victor M. Becerra, Jovana Radulović, Tapas K. Mallick, K.S. Reddy, Preeti Singh and Ricky J. Sethi and has published in prestigious journals such as Journal of Cleaner Production, Gut and Energy.

In The Last Decade

Rinat Khusainov

32 papers receiving 486 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rinat Khusainov 137 127 122 84 68 35 500
Djamel Azzi 37 0.3× 124 1.0× 120 1.0× 23 0.3× 84 1.2× 27 451
Sebastián Gutiérrez 85 0.6× 102 0.8× 83 0.7× 31 0.4× 201 3.0× 59 616
Abdullah Alhumaidi Alotaibi 37 0.3× 74 0.6× 129 1.1× 74 0.9× 216 3.2× 40 564
Davide La Rosa 64 0.5× 69 0.5× 39 0.3× 282 3.4× 97 1.4× 35 564
Mrinmoy Sarkar 47 0.3× 76 0.6× 131 1.1× 183 2.2× 104 1.5× 54 560
Amit Kumar Mondal 138 1.0× 85 0.7× 86 0.7× 33 0.4× 124 1.8× 60 617
Tariku Sinshaw Tamir 56 0.4× 41 0.3× 64 0.5× 129 1.5× 76 1.1× 27 472
Md. Manirul Islam 24 0.2× 41 0.3× 59 0.5× 27 0.3× 193 2.8× 35 484
Naif Alshammari 121 0.9× 55 0.4× 130 1.1× 265 3.2× 154 2.3× 37 548
Chen Song 14 0.1× 82 0.6× 164 1.3× 32 0.4× 184 2.7× 59 573

Countries citing papers authored by Rinat Khusainov

Since Specialization
Citations

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

Fields of papers citing papers by Rinat Khusainov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rinat Khusainov

This figure shows the co-authorship network connecting the top 25 collaborators of Rinat Khusainov. A scholar is included among the top collaborators of Rinat Khusainov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rinat Khusainov. Rinat Khusainov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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