Martin Scholz

19 papers and 1.8k indexed citations i.

About

Martin Scholz is a scholar working on Molecular Biology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Martin Scholz has authored 19 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Martin Scholz’s work include Metabolomics and Mass Spectrometry Studies (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Machine Learning and Data Classification (3 papers). Martin Scholz is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Machine Learning and Data Classification (3 papers). Martin Scholz collaborates with scholars based in Germany, United States and Hong Kong. Martin Scholz's co-authors include Oliver Fiehn, George Forman, Tobias Kind, Gert Wohlgemuth, Qiang Yang, Y. Zhou, Rong Pan, Nathan N. Liu, Bin Cao and Rajan M. Lukose and has published in prestigious journals such as PLoS ONE, The Plant Journal and Journal of neurosurgery.

In The Last Decade

Co-authorship network of co-authors of Martin Scholz i

Fields of papers citing papers by Martin Scholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Scholz

Since Specialization
Citations

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