Moritz Herrmann
Impact in
-
- Statistical Methods and Inference
Papers in
- Ecology 4
- Agriculture Sustainability and Environmental Impact 4
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Anne‐Laure Boulesteix (3 shared papers)Philipp Probst (1 shared paper)Roman Hornung (1 shared paper)Vindi Jurinović (1 shared paper)Emanuel Schneck (1 shared paper)Thomas Gutsmann (1 shared paper)Motomu Tanaka (1 shared paper)Klaus Brandenburg (1 shared paper)
- Journals
- Data Mining and Knowledge Discovery (1 paper)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Soft Matter (1 paper)Frontiers in Sustainable Food Systems (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Moritz Herrmann
9 papers receiving 160 citations
Peers
Comparison fields: 5 of 72
- Statistics and Probability 16
- Microbiology 10
- Molecular Medicine 7
- Molecular Biology 81
- Endocrinology 6
Countries citing papers authored by Moritz Herrmann
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
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 20 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2015 | 48 | |
| 3 | 2021 | 21 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 0 |
About Moritz Herrmann
Moritz Herrmann is a scholar working on Ecology, Artificial Intelligence, Public Health, Environmental and Occupational Health, Statistics and Probability and Molecular Biology, having authored 11 papers that have together received 164 indexed citations. Recurring topics across this work include Agriculture Sustainability and Environmental Impact (4 papers), Nutritional Studies and Diet (3 papers), Time Series Analysis and Forecasting (2 papers), Advanced Statistical Methods and Models (2 papers), Anomaly Detection Techniques and Applications (2 papers), Consumer Attitudes and Food Labeling (2 papers), Bacterial biofilms and quorum sensing (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Statistics and Probability (16 citations), Microbiology (10 citations), Molecular Medicine (7 citations), Molecular Biology (81 citations) and Endocrinology (6 citations). Moritz Herrmann has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Anne‐Laure Boulesteix, Philipp Probst, Roman Hornung, Vindi Jurinović, Emanuel Schneck, Thomas Gutsmann, Motomu Tanaka, Klaus Brandenburg, Giuseppe Casalicchio and Thomas Nemecek. Their work appears in journals such as Data Mining and Knowledge Discovery, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Soft Matter, Frontiers in Sustainable Food Systems and Briefings in Bioinformatics.
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.