Martin Eichner

5.6k total citations · 1 hit paper
124 papers, 3.8k citations indexed

About

Martin Eichner is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Martin Eichner has authored 124 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 28 papers in Infectious Diseases and 27 papers in Modeling and Simulation. Recurrent topics in Martin Eichner's work include COVID-19 epidemiological studies (26 papers), Influenza Virus Research Studies (22 papers) and Viral Infections and Outbreaks Research (13 papers). Martin Eichner is often cited by papers focused on COVID-19 epidemiological studies (26 papers), Influenza Virus Research Studies (22 papers) and Viral Infections and Outbreaks Research (13 papers). Martin Eichner collaborates with scholars based in Germany, United States and Belgium. Martin Eichner's co-authors include Klaus Dietz, Hans-Peter Duerr, Markus Schwehm, Martin Röcken, Bernd J. Pichler, Manfred Kneilling, William E. Collins, L. Molineaux, Hans H. Diebner and Geoffrey M. Jeffery and has published in prestigious journals such as Nature Medicine, Journal of Neuroscience and Blood.

In The Last Decade

Martin Eichner

122 papers receiving 3.7k citations

Hit Papers

Simultaneous PET-MRI: a new approach for functional and m... 2008 2026 2014 2020 2008 200 400 600

Peers

Martin Eichner
Comparison fields: 5 of 168
  • Infectious Diseases 727
  • Epidemiology 717
  • Public Health, Environmental and Occupational Health 675
  • Radiology, Nuclear Medicine and Imaging 608
  • Modeling and Simulation 536
Replace Lindi M. Wahl with:
Lindi M. Wahl Canada
Olfert Landt Germany
Robert F. Garry United States
Christian Devaux France
Kristian G. Andersen United States
Margreet Bakker Netherlands
John M. Murray United States
Jens Nielsen Denmark
Alberto Paniz‐Mondolfi United States
Manoja Kumar Das India
Lindi M. Wahl Canada View profile →
Citations per field, relative to Martin Eichner
Martin Eichner · 1×
Citations per year, relative to Martin Eichner
Martin Eichner · 1×

Countries citing papers authored by Martin Eichner

Since Specialization
Citations

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

Fields of papers citing papers by Martin Eichner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Eichner

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Eichner. A scholar is included among the top collaborators of Martin Eichner 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 Eichner. Martin Eichner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 3
3 15
4 2
5 36
6 8
7 10
8 2
9 29
10 13
11 1
12 111
13 16
14 33
15 15
16 37
17 22
18 36
19 43
20 11

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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2026