Hermann J. Eberl

87 papers receiving 1.6k citations

Peers

Hermann J. Eberl
Comparison fields: 5 of 119
  • Process Chemistry and Technology 76
  • Modeling and Simulation 114
  • Pollution 293
  • Insect Science 144
  • Endocrinology 53
Replace Jan‐Ulrich Kreft with:
Jan‐Ulrich Kreft United Kingdom
Jérôme Harmand France
N. G. Cogan United States
Peipei Zhang China
Burkhard A. Hense Germany
R. N. Doetsch United States
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Bradley S. Stevenson United States
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Citations per year

Countries citing papers authored by Hermann J. Eberl

Since Specialization
Citations

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

Fields of papers citing papers by Hermann J. Eberl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hermann J. Eberl. 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 Hermann J. Eberl. The network helps show where Hermann J. Eberl may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000175
2 2002158
3 2000123
4 2011104
5 201564
6
A finite difference scheme for a degenerated diffusion equation arising in microbial ecology.
200745
7 200844
8 200834
9 201533
10 201532
11 202032
12
Importance of brood maintenance terms in simple models of the honeybee - Varroa destructor - acute bee paralysis virus complex
201031
13 200431
14 201130
15 201729
16 201228
17 200428
18 201328
19
A mathematical model of quorum sensing in patchy biofilm communities with slow background flow
201026
20 201125

About Hermann J. Eberl

Hermann J. Eberl is a scholar working on Molecular Biology, Biomedical Engineering, Pollution, Genetics and Computational Theory and Mathematics, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (29 papers), Wastewater Treatment and Nitrogen Removal (18 papers), Advanced Mathematical Modeling in Engineering (10 papers), Slime Mold and Myxomycetes Research (10 papers), Insect and Arachnid Ecology and Behavior (8 papers), Insect and Pesticide Research (8 papers), Plant and animal studies (8 papers) and Mathematical Biology Tumor Growth (7 papers). The work is most often cited by research in Process Chemistry and Technology (76 citations), Modeling and Simulation (114 citations), Pollution (293 citations), Insect Science (144 citations) and Endocrinology (53 citations). Hermann J. Eberl has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Mark C.M. van Loosdrecht, Cristian Picioreanu, D. F. Parker, Burkhard A. Hense, Christina Kuttler, Peter G. Kevan, Messoud Efendiev, Jan‐Ulrich Kreft, Joseph J. Heijnen and J. J. Heijnen. Their work appears in journals such as Bulletin of Mathematical Biology, Water Science & Technology, Journal of Theoretical Biology, Mathematical Biosciences & Engineering and Communications in Nonlinear Science and Numerical Simulation.

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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