Maxim Gurevich

73 total papers · 1.4k total citations
44 papers, 1.0k citations indexed

About

Maxim Gurevich is a scholar working on Mechanical Engineering, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Maxim Gurevich has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 11 papers in Computational Mechanics and 9 papers in Artificial Intelligence. Recurrent topics in Maxim Gurevich's work include Heat Transfer and Boiling Studies (13 papers), Algebraic structures and combinatorial models (7 papers) and Data Management and Algorithms (7 papers). Maxim Gurevich is often cited by papers focused on Heat Transfer and Boiling Studies (13 papers), Algebraic structures and combinatorial models (7 papers) and Data Management and Algorithms (7 papers). Maxim Gurevich collaborates with scholars based in Israel, United States and Germany. Maxim Gurevich's co-authors include R. Rozenblit, G. Hetsroni, Ziv Bar-Yossef, A. Mosyak, Idit Keidar, Alexander Shraer, Gabriel Kliot, Edward Bortnikov, Z. Segal and Vanja Josifovski and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Maxim Gurevich

42 papers receiving 948 citations

Author Peers

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

Author						Papers	Cites
Maxim Gurevich	438	274	274	235	205	44	1.0k
Rizwan Akhtar	245 0.6×	279 1.0×	337 1.2×	119 0.5×	262 1.3×	42	869
Tianming Wang	142 0.3×	117 0.4×	183 0.7×	33 0.1×	30 0.1×	69	1.1k
Bhavya Kailkhura	62 0.1×	115 0.4×	79 0.3×	46 0.2×	377 1.8×	72	1.2k
Calvin J. Ribbens	89 0.2×	304 1.1×	28 0.1×	161 0.7×	326 1.6×	72	965
Ling Jian	446 1.0×	33 0.1×	82 0.3×	49 0.2×	30 0.1×	77	1.1k
He Jiang	600 1.4×	72 0.3×	67 0.2×	26 0.1×	136 0.7×	70	998
Brent A. Miller	67 0.2×	334 1.2×	56 0.2×	137 0.6×	336 1.6×	49	997
Yong Zhuang	99 0.2×	46 0.2×	137 0.5×	433 1.8×	97 0.5×	36	872
Fatemeh Amiri	77 0.2×	205 0.7×	41 0.1×	65 0.3×	305 1.5×	28	961
L. Bergman	245 0.6×	50 0.2×	38 0.1×	100 0.4×	59 0.3×	70	1.0k

Countries citing papers authored by Maxim Gurevich

Since Specialization

Citations

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

Fields of papers citing papers by Maxim Gurevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Gurevich

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