Matthis Ebel

4 papers and 88 indexed citations i.

About

Matthis Ebel is a scholar working on Molecular Biology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Matthis Ebel has authored 4 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Matthis Ebel’s work include Genomics and Phylogenetic Studies (3 papers), Machine Learning in Bioinformatics (2 papers) and Advanced MRI Techniques and Applications (1 paper). Matthis Ebel is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Machine Learning in Bioinformatics (2 papers) and Advanced MRI Techniques and Applications (1 paper). Matthis Ebel collaborates with scholars based in Germany, United States and New Zealand. Matthis Ebel's co-authors include Mario Stanke, Lars Gabriel, Tomáš Brůna, Katharina J. Hoff, Alexandre Lomsadze, Mark Borodovsky, Steffen Herbold, Heng Li, Joseph Guhlin and Natalia Nenasheva and has published in prestigious journals such as Genome Research, BMC Bioinformatics and PubMed.

In The Last Decade

Co-authorship network of co-authors of Matthis Ebel i

Fields of papers citing papers by Matthis Ebel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthis Ebel

Since Specialization
Citations

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