Daniel Mietchen
Impact in
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- Scientific Computing and Data Management
- Developmental Biology top 5%
Papers in
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- Scientific Computing and Data Management 22
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- Wikis in Education and Collaboration 21
- Co-authors
- Egon Willighagen (7 shared papers)Stefan Koelsch (2 shared papers)Daniela Sammler (2 shared papers)Sebastian Jentschke (2 shared papers)Lyubomir Penev (14 shared papers)Sarah L. Jones (6 shared papers)Finn Årup Nielsen (3 shared papers)Tomasz Miksa (4 shared papers)
- Journals
- ZooKeys (26 papers)PLoS Computational Biology (6 papers)F1000Research (4 papers)PLoS Biology (3 papers)eLife (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel Mietchen
96 papers receiving 2.1k citations
Daniel Mietchen's Hit Papers
Peers
Comparison fields: 5 of 173
- Information Systems and Management 338
- Developmental Biology 95
- Ecological Modeling 164
- Statistics, Probability and Uncertainty 180
- Communication 137
Countries citing papers authored by Daniel Mietchen
This map shows the geographic impact of Daniel Mietchen'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 Mietchen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mietchen more than expected).
Fields of papers citing papers by Daniel Mietchen
This network shows the impact of papers produced by Daniel Mietchen. 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 Mietchen. The network helps show where Daniel Mietchen may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mietchen, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The LOTUS initiative for open knowledge management in natural products research Hit paper breakdown → | 2022 | 244 |
| 2 | 2017 | 174 | |
| 3 | 2007 | 131 | |
| 4 | 2012 | 123 | |
| 5 | 2018 | 93 | |
| 6 | 2020 | 74 | |
| 7 | 2017 | 69 | |
| 8 | 2009 | 60 | |
| 9 | 2019 | 58 | |
| 10 | 2007 | 54 | |
| 11 | 2013 | 54 | |
| 12 | 2011 | 54 | |
| 13 | 2016 | 52 | |
| 14 | 2017 | 52 | |
| 15 | 2017 | 48 | |
| 16 | 2013 | 36 | |
| 17 | 2011 | 34 | |
| 18 | 2018 | 32 | |
| 19 | 2005 | 28 | |
| 20 | 2005 | 28 |
About Daniel Mietchen
Daniel Mietchen is a scholar working on Information Systems and Management, Communication, Information Systems, Ecological Modeling and Artificial Intelligence, having authored 101 papers that have together received 2.2k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (22 papers), Research Data Management Practices (21 papers), Wikis in Education and Collaboration (21 papers), Biomedical Text Mining and Ontologies (15 papers), Semantic Web and Ontologies (14 papers), Species Distribution and Climate Change (13 papers), Genomics and Phylogenetic Studies (6 papers) and Topic Modeling (6 papers). The work is most often cited by research in Information Systems and Management (338 citations), Developmental Biology (95 citations), Ecological Modeling (164 citations), Statistics, Probability and Uncertainty (180 citations) and Communication (137 citations). Daniel Mietchen has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Egon Willighagen, Stefan Koelsch, Daniela Sammler, Sebastian Jentschke, Lyubomir Penev, Sarah L. Jones, Finn Årup Nielsen, Tomasz Miksa, Gregor Hagedorn and Soowhan Kwon. Their work appears in journals such as ZooKeys, PLoS Computational Biology, F1000Research, PLoS Biology and eLife.
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.