David Friedrich

758 citations
45 papers · 573 · h-index 14

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Poxvirus research and outbreaks
  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

David Friedrich

41 papers receiving 529 citations

Peers

David Friedrich
Comparison fields: 5 of 86
  • Virology 86
  • Epidemiology 281
  • Software 27
  • Microbiology 34
  • Parasitology 34
Replace K. Yasui with:
K. Yasui Japan
Paolo Ballarini France
David L. Kaufman United States
Bernhard Thiele Germany
J. Higgins United States
Wenjuan Gu United States
Martin Obermeier Germany
Steven F. Baker United States
Stone United States
Ning Lü China
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Citations per field
00.5×
K. Yasui · 1×
Citations per year

Countries citing papers authored by David Friedrich

Since Specialization
Citations

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

Fields of papers citing papers by David Friedrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Friedrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Friedrich Line = papers co-authored together David Friedrich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200561
2 200351
3 200647
4 201046
5 200338
6 200337
7 201028
8 201123
9 200919
10 201119
11 200417
12 200417
13 200616
14 201114
15 201513
16 200512
17 20229
18 20169
19 20189
20 20079

About David Friedrich

David Friedrich is a scholar working on Epidemiology, Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 45 papers that have together received 573 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (9 papers), Flexible and Reconfigurable Manufacturing Systems (6 papers), Petri Nets in System Modeling (4 papers), Model-Driven Software Engineering Techniques (4 papers), Manufacturing Process and Optimization (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Virology (86 citations), Epidemiology (281 citations), Software (27 citations), Microbiology (34 citations) and Parasitology (34 citations). David Friedrich has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Rhoda Ashley Morrow, Birgit Vogel‐Heuser, Elizabeth M. Krantz, Amalia S. Meier, Lawrence Corey, Til Aach, Anna Wald, Alfred Böcking, M. Juliana McElrath and Elizabeth A. Bukusi. Their work appears in journals such as American Journal of Clinical Pathology, Journal of Virology, Journal of Clinical Microbiology, Sexually Transmitted Infections and Sexually Transmitted Diseases.

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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