Rupert Ecker

34 papers and 1.8k indexed citations i.

About

Rupert Ecker is a scholar working on Artificial Intelligence, Biophysics and Molecular Biology. According to data from OpenAlex, Rupert Ecker has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Biophysics and 9 papers in Molecular Biology. Recurrent topics in Rupert Ecker’s work include AI in cancer detection (11 papers), Cell Image Analysis Techniques (9 papers) and Cutaneous Melanoma Detection and Management (5 papers). Rupert Ecker is often cited by papers focused on AI in cancer detection (11 papers), Cell Image Analysis Techniques (9 papers) and Cutaneous Melanoma Detection and Management (5 papers). Rupert Ecker collaborates with scholars based in Austria, United Kingdom and Germany. Rupert Ecker's co-authors include Amirreza Mahbod, Georg Steiner, Gerald Schaefer, Isabella Ellinger, Chunliang Wang, Georg Dorffner, Georg Stingl, Adelheid Elbe‐Bürger, Michael Marberger and Gero Kramer and has published in prestigious journals such as Blood, PLoS ONE and Biochemical Journal.

In The Last Decade

Co-authorship network of co-authors of Rupert Ecker i

Fields of papers citing papers by Rupert Ecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rupert Ecker

Since Specialization
Citations

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