Gesine Reinert

90 papers and 1.9k indexed citations i.

About

Gesine Reinert is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Gesine Reinert has authored 90 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 30 papers in Statistics and Probability and 22 papers in Artificial Intelligence. Recurrent topics in Gesine Reinert’s work include Random Matrices and Applications (25 papers), Complex Network Analysis Techniques (21 papers) and Bioinformatics and Genomic Networks (18 papers). Gesine Reinert is often cited by papers focused on Random Matrices and Applications (25 papers), Complex Network Analysis Techniques (21 papers) and Bioinformatics and Genomic Networks (18 papers). Gesine Reinert collaborates with scholars based in United Kingdom, United States and China. Gesine Reinert's co-authors include Michael S. Waterman, Fengzhu Sun, Larry Goldstein, Sophie Schbath, Charlotte M. Deane, Michael Newman, Adrian Röllin, Giovanni Peccati, Yvik Swan and Christophe Ley and has published in prestigious journals such as Physical Review Letters, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Gesine Reinert i

Fields of papers citing papers by Gesine Reinert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gesine Reinert

Since Specialization
Citations

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