Alf Gerisch

50 papers receiving 1.4k citations

Peers

Alf Gerisch
Comparison fields: 5 of 107
  • Modeling and Simulation 489
  • Orthopedics and Sports Medicine 183
  • Numerical Analysis 121
  • Cell Biology 336
  • Computational Theory and Mathematics 207
Replace Philippe Tracqui with:
Philippe Tracqui France
Graeme J. Pettet Australia
Pasquale Ciarletta Italy
Jared A. Weis United States
Mohamed H. Doweidar Spain
Miguel O. Bernabéu United Kingdom
James W. Baish United States
Pascal R. Buenzli Australia
Steven Robert McDougall United Kingdom
J. C. Dallon United States
Alf Gerisch relative to Philippe Tracqui France Philippe Tracqui's profile →
Citations per field
00.5×4.7×
Philippe Tracqui · 1×
Citations per year

Countries citing papers authored by Alf Gerisch

Since Specialization
Citations

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

Fields of papers citing papers by Alf Gerisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007227
2 2007184
3 2010114
4 201481
5 201562
6 201159
7 201059
8 200656
9 201552
10 201644
11 201241
12 200638
13 200235
14 201034
15 200126
16 201425
17 201725
18 200824
19 201620
20 202119

About Alf Gerisch

Alf Gerisch is a scholar working on Cell Biology, Modeling and Simulation, Oncology, Numerical Analysis and Computational Mechanics, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (13 papers), Cellular Mechanics and Interactions (13 papers), Cancer Cells and Metastasis (9 papers), Numerical methods for differential equations (8 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Network Traffic and Congestion Control (6 papers), Composite Material Mechanics (5 papers) and Bone health and osteoporosis research (5 papers). The work is most often cited by research in Modeling and Simulation (489 citations), Orthopedics and Sports Medicine (183 citations), Numerical Analysis (121 citations), Cell Biology (336 citations) and Computational Theory and Mathematics (207 citations). Alf Gerisch has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Mark A. J. Chaplain, Liesbet Geris, Hans Van Oosterwyck, Raimondo Penta, Rüdiger Weiner, Jos Vander Sloten, Kay Raum, Quentin Grimal, Pascal Laugier and Kevin J. Painter. Their work appears in journals such as Journal of Theoretical Biology, Applied Numerical Mathematics, Biomechanics and Modeling in Mechanobiology, Bulletin of Mathematical Biology and Journal of Mathematical Biology.

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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