David Baehrens

5 papers and 43 indexed citations i.

About

David Baehrens is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, David Baehrens has authored 5 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in David Baehrens’s work include Computational Drug Discovery Methods (2 papers), Meta-analysis and systematic reviews (2 papers) and Scientific Computing and Data Management (1 paper). David Baehrens is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Meta-analysis and systematic reviews (2 papers) and Scientific Computing and Data Management (1 paper). David Baehrens collaborates with scholars based in Switzerland, Germany and United States. David Baehrens's co-authors include Klaus‐Robert Müller, Timon Schroeter, Katja Hansen, Matthias Rupp, A. Witzmann, Ṣẹ̀yẹ Abògúnr̀in and Michael D. Sumner and has published in prestigious journals such as Value in Health, Clinical and Translational Science and Molecular Informatics.

In The Last Decade

Co-authorship network of co-authors of David Baehrens i

Fields of papers citing papers by David Baehrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Baehrens. 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 Baehrens. The network helps show where David Baehrens may publish in the future.

Countries citing papers authored by David Baehrens

Since Specialization
Citations

This map shows the geographic impact of David Baehrens'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 Baehrens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Baehrens more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025