David Luis Wiegandt
- Artificial Intelligence top 5%
- Molecular Biology
- Computational Theory and Mathematics
- Genetics
- Cancer Research
- Co-authors
- Ulf LeserMaryam HabibiLeon WeberMariana NevesSophie ViewegUlrich KeilholzDaniel KochDamian Rieke
- Topics
- Biomedical Text Mining and Ontologies (4 papers)Cancer Genomics and Diagnostics (2 papers)Genomics and Rare Diseases (2 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
David Luis Wiegandt
6 papers receiving 393 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 295
- Molecular Biology 290
- Computational Theory and Mathematics 21
- Genetics 21
- Cancer Research 17
Countries citing papers authored by David Luis Wiegandt
This map shows the geographic impact of David Luis Wiegandt'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 Luis Wiegandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Luis Wiegandt more than expected).
Fields of papers citing papers by David Luis Wiegandt
This network shows the impact of papers produced by David Luis Wiegandt. 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 Luis Wiegandt. The network helps show where David Luis Wiegandt may publish in the future.
Co-authorship network of co-authors of David Luis Wiegandt
This figure shows the co-authorship network connecting the top 25 collaborators of David Luis Wiegandt. A scholar is included among the top collaborators of David Luis Wiegandt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Luis Wiegandt. David Luis Wiegandt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | Deep learning with word embeddings improves biomedical named entity recognitionbreakdown → | 356 |
| 5 | 10 | |
| 6 | 21 |
About David Luis Wiegandt
David Luis Wiegandt is a scholar working on Management of Technology and Innovation, Cancer Research and Molecular Biology, having authored 6 papers that have together received 413 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Cancer Genomics and Diagnostics (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Artificial Intelligence (295 citations), Molecular Biology (290 citations) and Health Informatics (5 citations). David Luis Wiegandt has collaborated with scholars based in Germany and United States. Frequent co-authors include Ulf Leser, Maryam Habibi, Leon Weber, Mariana Neves, Sophie Vieweg, Ulrich Keilholz, Daniel Koch, Damian Rieke, Mario Lamping and Fu Li. Their work appears in journals such as Nature Communications, Bioinformatics and BMC 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.