Christian Lovis

258 papers and 4.8k indexed citations i.

About

Christian Lovis is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Christian Lovis has authored 258 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 68 papers in Artificial Intelligence and 64 papers in Health Information Management. Recurrent topics in Christian Lovis’s work include Biomedical Text Mining and Ontologies (80 papers), Electronic Health Records Systems (59 papers) and Semantic Web and Ontologies (33 papers). Christian Lovis is often cited by papers focused on Biomedical Text Mining and Ontologies (80 papers), Electronic Health Records Systems (59 papers) and Semantic Web and Ontologies (33 papers). Christian Lovis collaborates with scholars based in Switzerland, United States and France. Christian Lovis's co-authors include Don A. Dillman, Jolene D. Smyth, D. A. Dillman, Antoine Geissbühler, Robert Baud, Fréderic Ehrler, Christophe Gaudet-Blavignac, Patrick Ruch, Julien Gobeill and A M Rassinoux and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Journal of Medicine.

In The Last Decade

Co-authorship network of co-authors of Christian Lovis i

Fields of papers citing papers by Christian Lovis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christian Lovis

Since Specialization
Citations

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