Elgar Pichler

6 papers and 172 indexed citations i.

About

Elgar Pichler is a scholar working on Molecular Biology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Elgar Pichler has authored 6 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Sociology and Political Science. Recurrent topics in Elgar Pichler’s work include Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (2 papers) and Semantic Web and Ontologies (2 papers). Elgar Pichler is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (2 papers) and Semantic Web and Ontologies (2 papers). Elgar Pichler collaborates with scholars based in United States, The Netherlands and Austria. Elgar Pichler's co-authors include Michael S. Marshall, Matthias Samwald, Eric Prud’hommeaux, Susie Stephens, Janos Hajagos, Egon Willighagen, Oktie Hassanzadeh, Christopher M. L. S. Bouton, Anja Jentzsch and Helena Deus and has published in prestigious journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Pharmacogenomics and Journal of Cheminformatics.

In The Last Decade

Co-authorship network of co-authors of Elgar Pichler i

Fields of papers citing papers by Elgar Pichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elgar Pichler

Since Specialization
Citations

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

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2025