Maximilian Marshall

25 total papers · 1.6k total citations
6 papers, 637 citations indexed

About

Maximilian Marshall is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Maximilian Marshall has authored 6 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Modeling and Simulation, 3 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Maximilian Marshall's work include COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (3 papers) and COVID-19 and Mental Health (1 paper). Maximilian Marshall is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (3 papers) and COVID-19 and Mental Health (1 paper). Maximilian Marshall collaborates with scholars based in United States and Taiwan. Maximilian Marshall's co-authors include Lauren Gardner, Ensheng Dong, Hamada S. Badr, Hongru Du, Marietta M. Squire, Kristen Nixon, Nicholas G Reich, Arash Mohegh, Gaige Hunter Kerr and Benjamin F. Zaitchik and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Urology and The Lancet Infectious Diseases.

In The Last Decade

Maximilian Marshall

6 papers receiving 625 citations

Hit Papers

Association between mobil... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Maximilian Marshall 444 191 162 156 86 6 637
Marietta M. Squire 424 1.0× 188 1.0× 144 0.9× 154 1.0× 76 0.9× 5 594
Jianmin Jia 418 0.9× 232 1.2× 177 1.1× 193 1.2× 41 0.5× 8 718
David Martín-Corral 445 1.0× 116 0.6× 155 1.0× 89 0.6× 139 1.6× 4 588
Behzad Vahedi 408 0.9× 252 1.3× 174 1.1× 76 0.5× 61 0.7× 9 695
Jonas Dehning 452 1.0× 174 0.9× 128 0.8× 26 0.2× 140 1.6× 10 597
Mofeng Yang 287 0.6× 100 0.5× 120 0.7× 295 1.9× 24 0.3× 20 606
Sydney Foote 459 1.0× 207 1.1× 116 0.7× 24 0.2× 175 2.0× 10 692
Jan Kulveit 472 1.1× 214 1.1× 109 0.7× 24 0.2× 187 2.2× 5 673
George Altman 451 1.0× 210 1.1× 105 0.6× 23 0.1× 169 2.0× 7 656
Alexander D. Becker 216 0.5× 78 0.4× 86 0.5× 42 0.3× 175 2.0× 11 684

Countries citing papers authored by Maximilian Marshall

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Marshall

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