Heidi Seibold

18 papers and 276 indexed citations i.

About

Heidi Seibold is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Heidi Seibold has authored 18 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 5 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Heidi Seibold’s work include Amyotrophic Lateral Sclerosis Research (3 papers), Data Analysis with R (3 papers) and Statistical Methods and Inference (3 papers). Heidi Seibold is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (3 papers), Data Analysis with R (3 papers) and Statistical Methods and Inference (3 papers). Heidi Seibold collaborates with scholars based in Switzerland, Germany and Austria. Heidi Seibold's co-authors include Torsten Hothorn, Achim Zeileis, Anne‐Laure Boulesteix, Sabine Hoffmann, Riccardo De Bin, Björn Bornkamp, Christoph Bernau, Benjamin Hofner, Michel Lang and Joaquin Vanschoren and has published in prestigious journals such as PLoS ONE, Cochrane library and Statistics in Medicine.

In The Last Decade

Co-authorship network of co-authors of Heidi Seibold i

Fields of papers citing papers by Heidi Seibold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Heidi Seibold

Since Specialization
Citations

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