Martin V. Day

47 total papers · 687 total citations
34 papers, 374 citations indexed

About

Martin V. Day is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Control and Systems Engineering. According to data from OpenAlex, Martin V. Day has authored 34 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 12 papers in Mathematical Physics and 9 papers in Control and Systems Engineering. Recurrent topics in Martin V. Day's work include Quantum chaos and dynamical systems (9 papers), Stochastic processes and statistical mechanics (9 papers) and Advanced Queuing Theory Analysis (6 papers). Martin V. Day is often cited by papers focused on Quantum chaos and dynamical systems (9 papers), Stochastic processes and statistical mechanics (9 papers) and Advanced Queuing Theory Analysis (6 papers). Martin V. Day collaborates with scholars based in United States and Russia. Martin V. Day's co-authors include Joseph A. Ball, Pushkin Kachroo, Thomas A. Darden, Guodong Pang, John R. Hall and William M. McEneaney and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and Journal of Mathematical Analysis and Applications.

In The Last Decade

Martin V. Day

32 papers receiving 330 citations

Author Peers

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

Author Last Decade Papers Cites
Martin V. Day 189 101 61 60 59 34 374
Yuri Bakhtin 94 0.5× 184 1.8× 38 0.6× 36 0.6× 21 0.4× 44 338
Kenneth J. Hochberg 71 0.4× 206 2.0× 33 0.5× 35 0.6× 28 0.5× 23 364
Leonid Koralov 62 0.3× 125 1.2× 55 0.9× 49 0.8× 34 0.6× 31 351
Levon Nurbekyan 129 0.7× 44 0.4× 26 0.4× 46 0.8× 17 0.3× 23 353
Marjeta Kramar Fijavž 42 0.2× 165 1.6× 129 2.1× 145 2.4× 21 0.4× 26 346
Alfred Schöttl 60 0.3× 77 0.8× 48 0.8× 51 0.8× 14 0.2× 17 360
Marco Caponigro 174 0.9× 49 0.5× 21 0.3× 77 1.3× 136 2.3× 28 402
M.‐O. Hongler 213 1.1× 19 0.2× 14 0.2× 29 0.5× 71 1.2× 44 407
Roland Zweimüller 120 0.6× 333 3.3× 33 0.5× 12 0.2× 37 0.6× 27 387
Rasul Ganikhodzhaev 43 0.2× 127 1.3× 101 1.7× 19 0.3× 66 1.1× 18 357

Countries citing papers authored by Martin V. Day

Since Specialization
Citations

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

Fields of papers citing papers by Martin V. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin V. Day. 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 Martin V. Day. The network helps show where Martin V. Day may publish in the future.

Co-authorship network of co-authors of Martin V. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Martin V. Day. A scholar is included among the top collaborators of Martin V. Day 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 Martin V. Day. Martin V. Day 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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