Maxim Grinev

23 total papers · 723 total citations
17 papers, 428 citations indexed

About

Maxim Grinev is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Maxim Grinev has authored 17 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Maxim Grinev's work include Advanced Database Systems and Queries (9 papers), Web Data Mining and Analysis (6 papers) and Data Management and Algorithms (6 papers). Maxim Grinev is often cited by papers focused on Advanced Database Systems and Queries (9 papers), Web Data Mining and Analysis (6 papers) and Data Management and Algorithms (6 papers). Maxim Grinev collaborates with scholars based in Russia, Switzerland and United States. Maxim Grinev's co-authors include Dmitry Lizorkin, Денис Турдаков, Pavel Velikhov, Martin Hentschel, Donald Kossmann and K. Antipin and has published in prestigious journals such as Proceedings of the VLDB Endowment, The VLDB Journal and Programming and Computer Software.

In The Last Decade

Maxim Grinev

14 papers receiving 406 citations

Author Peers

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

Author Last Decade Papers Cites
Maxim Grinev 357 162 139 75 61 17 428
Dmitry Lizorkin 358 1.0× 163 1.0× 145 1.0× 59 0.8× 64 1.0× 13 426
Robert Meusel 266 0.7× 179 1.1× 66 0.5× 102 1.4× 92 1.5× 18 439
Cindy Xide Lin 278 0.8× 233 1.4× 163 1.2× 144 1.9× 73 1.2× 19 493
Hassan Sayyadi 258 0.7× 182 1.1× 221 1.6× 44 0.6× 27 0.4× 14 393
Oliver Lehmberg 259 0.7× 195 1.2× 42 0.3× 95 1.3× 60 1.0× 15 412
Huiming Qu 175 0.5× 141 0.9× 138 1.0× 194 2.6× 55 0.9× 14 387
E. K. Park 309 0.9× 201 1.2× 52 0.4× 127 1.7× 31 0.5× 19 479
Russell Swan 313 0.9× 224 1.4× 72 0.5× 53 0.7× 114 1.9× 8 470
Cane Wing-ki Leung 250 0.7× 225 1.4× 120 0.9× 39 0.5× 72 1.2× 20 465
Dániel Fogaras 234 0.7× 129 0.8× 181 1.3× 95 1.3× 129 2.1× 8 392

Countries citing papers authored by Maxim Grinev

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Grinev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Grinev

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Grinev. A scholar is included among the top collaborators of Maxim Grinev 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 Maxim Grinev. Maxim Grinev 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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