Daniel Arend
Impact in
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- Scientific Computing and Data Management
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Smart Agriculture and AI
Papers in
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- Scientific Computing and Data Management 15
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- Research Data Management Practices 15
- Co-authors
- Matthias Lange (19 shared papers)Uwe Scholz (18 shared papers)Danuta Schüler (6 shared papers)Astrid Junker (6 shared papers)Christian Colmsee (4 shared papers)Jinbo Chen (1 shared paper)Patrick König (7 shared papers)Björn Usadel (5 shared papers)
- Journals
- Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (5 papers)GigaScience (2 papers)Frontiers in Plant Science (2 papers)Journal of Biotechnology (2 papers)The Plant Journal (2 papers)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Daniel Arend
29 papers receiving 752 citations
Peers
Comparison fields: 5 of 89
- Information Systems and Management 117
- Plant Science 374
- Ecological Modeling 42
- Information Systems 148
- Genetics 162
Countries citing papers authored by Daniel Arend
This map shows the geographic impact of Daniel Arend'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 Daniel Arend with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Arend more than expected).
Fields of papers citing papers by Daniel Arend
This network shows the impact of papers produced by Daniel Arend. 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 Daniel Arend. The network helps show where Daniel Arend may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Arend, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 110 | |
| 2 | 2016 | 106 | |
| 3 | 2016 | 86 | |
| 4 | 2014 | 78 | |
| 5 | 2023 | 70 | |
| 6 | 2018 | 65 | |
| 7 | 2018 | 51 | |
| 8 | 2020 | 36 | |
| 9 | 2017 | 27 | |
| 10 | 2022 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2017 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 4 |
About Daniel Arend
Daniel Arend is a scholar working on Information Systems and Management, Information Systems, Molecular Biology, Genetics and Ecological Modeling, having authored 30 papers that have together received 768 indexed citations. Recurring topics across this work include Research Data Management Practices (15 papers), Scientific Computing and Data Management (15 papers), Biomedical Text Mining and Ontologies (9 papers), Genomics and Phylogenetic Studies (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Gene expression and cancer classification (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers) and Wheat and Barley Genetics and Pathology (3 papers). The work is most often cited by research in Information Systems and Management (117 citations), Plant Science (374 citations), Ecological Modeling (42 citations), Information Systems (148 citations) and Genetics (162 citations). Daniel Arend has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Matthias Lange, Uwe Scholz, Danuta Schüler, Astrid Junker, Christian Colmsee, Jinbo Chen, Patrick König, Björn Usadel, Christian Klukas and Carol E. Cleland. Their work appears in journals such as Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, GigaScience, Frontiers in Plant Science, Journal of Biotechnology and The Plant Journal.
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.