Daniel Mietchen
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
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- Research Data Management Practices 20
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- Semantic Web and Ontologies 16
- Topic Modeling 5
- Co-authors
- Sebastian Jentschke (2 shared papers)Daniela Sammler (2 shared papers)Stefan Koelsch (2 shared papers)Egon Willighagen (8 shared papers)Lyubomir Penev (17 shared papers)Sarah Jones (6 shared papers)Finn Årup Nielsen (2 shared papers)Tomasz Miksa (4 shared papers)
- Journals
- ZooKeys (11 papers)PLoS Computational Biology (4 papers)PLoS Biology (3 papers)PLoS ONE (2 papers)European Journal of Neuroscience (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel Mietchen
84 papers receiving 1.5k citations
Daniel Mietchen's Hit Papers
Peers
Comparison fields: 5 of 160
- Developmental Biology 94
- Ecological Modeling 144
- Information Systems and Management 236
- Information Systems 306
- Cognitive Neuroscience 209
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 92 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 | 212 |
| 2 | 2007 | 132 | |
| 3 | 2012 | 113 | |
| 4 | 2018 | 90 | |
| 5 | 2017 | 62 | |
| 6 | 2009 | 60 | |
| 7 | 2019 | 56 | |
| 8 | 2007 | 55 | |
| 9 | 2011 | 53 | |
| 10 | 2013 | 52 | |
| 11 | 2017 | 43 | |
| 12 | 2013 | 34 | |
| 13 | 2011 | 34 | |
| 14 | 2018 | 33 | |
| 15 | 2005 | 31 | |
| 16 | 2005 | 30 | |
| 17 | 2019 | 26 | |
| 18 | 2011 | 24 | |
| 19 | 2017 | 23 | |
| 20 | 2002 | 23 |
About Daniel Mietchen
Daniel Mietchen is a scholar working on Information Systems, Artificial Intelligence, Molecular Biology, Information Systems and Management and Communication, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (20 papers), Research Data Management Practices (20 papers), Wikis in Education and Collaboration (17 papers), Semantic Web and Ontologies (16 papers), Biomedical Text Mining and Ontologies (15 papers), Species Distribution and Climate Change (14 papers), Topic Modeling (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Developmental Biology (94 citations), Ecological Modeling (144 citations), Information Systems and Management (236 citations), Information Systems (306 citations) and Cognitive Neuroscience (209 citations). Daniel Mietchen has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Sebastian Jentschke, Daniela Sammler, Stefan Koelsch, Egon Willighagen, Lyubomir Penev, Sarah Jones, Finn Årup Nielsen, Tomasz Miksa, W. Tecumseh Fitch and Gregor Hagedorn. Their work appears in journals such as ZooKeys, PLoS Computational Biology, PLoS Biology, PLoS ONE and European Journal of Neuroscience.
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.