Armin Hoffmann

2.7k citations
64 papers · 2.3k · h-index 21

Impact in

  • Biophysics top 1%
    • Advanced Fluorescence Microscopy Techniques
    • Protein Structure and Dynamics
    • Heat shock proteins research

Papers in

Armin Hoffmann

56 papers receiving 2.2k citations

Peers

Armin Hoffmann
Comparison fields: 5 of 84
  • Biophysics 327
  • Molecular Biology 1.3k
  • Infectious Diseases 234
  • Physical and Theoretical Chemistry 115
  • Numerical Analysis 29
Replace Carlos F. Lopez with:
Carlos F. Lopez United States
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Ali Rana Atılgan Türkiye
Tomasz Lipniacki Poland
Dan V. Nicolau Australia
Donald J. Jacobs United States
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David Swigon A United States
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Armin Hoffmann relative to Carlos F. Lopez United States Carlos F. Lopez's profile →
Citations per field
00.5×5×12.3×
Carlos F. Lopez · 1×
Citations per year

Countries citing papers authored by Armin Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Armin Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Armin Hoffmann, 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 Armin Hoffmann Line = papers co-authored together Armin Hoffmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007311
2 2012284
3 2009210
4 2006205
5 2008156
6 2012117
7 2021115
8 2011106
9 2010105
10 201755
11 200847
12 202045
13 200942
14 201438
15 202030
16 202128
17 201127
18 201327
19 201827
20 200224

About Armin Hoffmann

Armin Hoffmann is a scholar working on Numerical Analysis, Infectious Diseases, Biophysics, Computational Theory and Mathematics and Management Science and Operations Research, having authored 64 papers that have together received 2.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Risk and Portfolio Optimization (7 papers), Optimization and Variational Analysis (7 papers), Advanced Optimization Algorithms Research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Advanced Control Systems Optimization (5 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Process Optimization and Integration (4 papers). The work is most often cited by research in Biophysics (327 citations), Molecular Biology (1.3k citations), Infectious Diseases (234 citations), Physical and Theoretical Chemistry (115 citations) and Numerical Analysis (29 citations). Armin Hoffmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Benjamin Schuler, Daniel Nettels, Irina V. Gopich, Shawn H. Pfeil, Everett A. Lipman, Abebe Geletu, Pu Li, Andrea Soranno, Brigitte Stucki-Buchli and Dmitrii E. Makarov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Chemistry Chemical Physics, Biophysical Journal, Engineering Optimization and Emerging infectious 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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