Michail Zak

273 total papers · 1.9k total citations
126 papers, 1.3k citations indexed

About

Michail Zak is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michail Zak has authored 126 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 35 papers in Statistical and Nonlinear Physics and 29 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michail Zak's work include Quantum Mechanics and Applications (24 papers), Neural Networks and Applications (23 papers) and Quantum Computing Algorithms and Architecture (16 papers). Michail Zak is often cited by papers focused on Quantum Mechanics and Applications (24 papers), Neural Networks and Applications (23 papers) and Quantum Computing Algorithms and Architecture (16 papers). Michail Zak collaborates with scholars based in United States and Italy. Michail Zak's co-authors include Joseph P. Zbilut, J. Barhen, Ronald E. Meyers, S. Gulati, Ryan Mackey, Mark James, Charles L. Webber, Amir Fijany, W. Dale Greene and Forest Fisher and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Review A and Journal of Applied Mechanics.

In The Last Decade

Michail Zak

115 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Michail Zak 384 373 332 198 175 126 1.3k
Minvydas Ragulskis 269 0.7× 141 0.4× 368 1.1× 108 0.5× 193 1.1× 214 1.8k
Subhash Kak 129 0.3× 785 2.1× 110 0.3× 102 0.5× 156 0.9× 188 1.6k
Jan Sieber 331 0.9× 88 0.2× 541 1.6× 98 0.5× 531 3.0× 73 1.7k
Zhiwen Zhang 182 0.5× 185 0.5× 189 0.6× 149 0.8× 45 0.3× 136 1.4k
Simone Fiori 330 0.9× 675 1.8× 227 0.7× 95 0.5× 112 0.6× 172 1.8k
Shangbin Jiao 378 1.0× 148 0.4× 312 0.9× 40 0.2× 88 0.5× 106 1.2k
Денис Бутусов 114 0.3× 281 0.8× 769 2.3× 95 0.5× 319 1.8× 153 1.6k
L.M. Hively 82 0.2× 138 0.4× 285 0.9× 397 2.0× 112 0.6× 59 1.3k
Marco Storace 676 1.8× 207 0.6× 605 1.8× 374 1.9× 367 2.1× 159 1.8k
H.A. Larrondo 165 0.4× 214 0.6× 641 1.9× 153 0.8× 153 0.9× 62 1.5k

Countries citing papers authored by Michail Zak

Since Specialization
Citations

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

Fields of papers citing papers by Michail Zak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michail Zak

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