David Willé
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Software top 5%
Papers in
-
- Software Engineering Research 11
- Service-Oriented Architecture and Web Services 4
- Software Engineering Techniques and Practices 2
-
- Advanced Software Engineering Methodologies 11
- Co-authors
- Edward T. Bullmore (5 shared papers)Ina Schaefer (12 shared papers)Sandro Schulze (6 shared papers)Sam Miller (2 shared papers)Enrico Domenici (2 shared papers)Blagoje Soskic (3 shared papers)Deborah J. Smyth (3 shared papers)David F. Tough (3 shared papers)
- Journals
- Nature Genetics (2 papers)Psychopharmacology (2 papers)PLoS ONE (2 papers)Electrophoresis (1 paper)Scientific Reports (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
David Willé
30 papers receiving 951 citations
Peers
Comparison fields: 5 of 122
- Biological Psychiatry 153
- Software 84
- Behavioral Neuroscience 73
- Neurology 77
- Immunology 166
Countries citing papers authored by David Willé
This map shows the geographic impact of David Willé'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 David Willé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Willé more than expected).
Fields of papers citing papers by David Willé
This network shows the impact of papers produced by David Willé. 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 David Willé. The network helps show where David Willé may publish in the future.
Co-authors
The 25 scholars most cited alongside David Willé, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 286 | |
| 2 | 2020 | 145 | |
| 3 | 2019 | 63 | |
| 4 | 2022 | 60 | |
| 5 | 2011 | 60 | |
| 6 | 2013 | 44 | |
| 7 | 2019 | 34 | |
| 8 | 2014 | 31 | |
| 9 | 2013 | 31 | |
| 10 | 2014 | 31 | |
| 11 | 2017 | 20 | |
| 12 | 2014 | 20 | |
| 13 | 2018 | 17 | |
| 14 | 2017 | 17 | |
| 15 | 2016 | 15 | |
| 16 | 2015 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2014 | 11 | |
| 20 | 2008 | 9 |
About David Willé
David Willé is a scholar working on Information Systems, Artificial Intelligence, Molecular Biology, Software and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 970 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (11 papers), Software Engineering Research (11 papers), Receptor Mechanisms and Signaling (4 papers), Service-Oriented Architecture and Web Services (4 papers), Software Reliability and Analysis Research (3 papers), T-cell and B-cell Immunology (3 papers), Single-cell and spatial transcriptomics (2 papers) and Software Engineering Techniques and Practices (2 papers). The work is most often cited by research in Biological Psychiatry (153 citations), Software (84 citations), Behavioral Neuroscience (73 citations), Neurology (77 citations) and Immunology (166 citations). David Willé has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Edward T. Bullmore, Ina Schaefer, Sandro Schulze, Sam Miller, Enrico Domenici, Blagoje Soskic, Deborah J. Smyth, David F. Tough, Jorge Esparza-Gordillo and Christoph W. Turck. Their work appears in journals such as Nature Genetics, Psychopharmacology, PLoS ONE, Electrophoresis and Scientific Reports.
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.