Moritz Herrmann

9 papers receiving 181 citations

Peers

Moritz Herrmann
Comparison fields: 5 of 74
  • Microbiology 10
  • Statistics and Probability 13
  • Molecular Medicine 7
  • Endocrinology 6
  • Molecular Biology 75
Replace Thomas Sakoparnig with:
Thomas Sakoparnig Switzerland
Stefano Bonissone United States
Michael B. Mayhew United States
Esmeralda Vicedo Germany
Vladimir Sarpe Canada
Jieping Zhao United States
Brian Kang United States
Hong‐Li Hua China
Claudine Devauchelle Germany
Luis F. Montaño-Gutierrez United Kingdom
Moritz Herrmann relative to Thomas Sakoparnig Switzerland Thomas Sakoparnig's profile →
Citations per field
00.5×6.5×
Thomas Sakoparnig · 1×
Citations per year

Countries citing papers authored by Moritz Herrmann

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Herrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Moritz Herrmann, 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 Moritz Herrmann Line = papers co-authored together Moritz Herrmann links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202078
2 201549
3 202125
4 20249
5 20237
6 20246
7 20214
8 20232
9 20242
10 20241
11 20250
12 20250
13 20250

About Moritz Herrmann

Moritz Herrmann is a scholar working on Ecology, Artificial Intelligence, Statistics and Probability, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 13 papers that have together received 183 indexed citations. Recurring topics across this work include Agriculture Sustainability and Environmental Impact (4 papers), Nutritional Studies and Diet (3 papers), Advanced Causal Inference Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers), Time Series Analysis and Forecasting (2 papers), Consumer Attitudes and Food Labeling (2 papers), Advanced Statistical Methods and Models (2 papers) and Color perception and design (1 paper). The work is most often cited by research in Microbiology (10 citations), Statistics and Probability (13 citations), Molecular Medicine (7 citations), Endocrinology (6 citations) and Molecular Biology (75 citations). Moritz Herrmann has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Anne‐Laure Boulesteix, Philipp Probst, Vindi Jurinović, Roman Hornung, Thomas Gutsmann, Motomu Tanaka, Klaus Brandenburg, Emanuel Schneck, Giuseppe Casalicchio and Thomas Nemecek. Their work appears in journals such as Statistics in Medicine, Journal of Cleaner Production, Briefings in Bioinformatics, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery and Soft Matter.

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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