Marwin Segler

23 papers and 3.2k indexed citations i.

About

Marwin Segler is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Marwin Segler has authored 23 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 19 papers in Computational Theory and Mathematics and 8 papers in Molecular Biology. Recurrent topics in Marwin Segler’s work include Machine Learning in Materials Science (21 papers), Computational Drug Discovery Methods (19 papers) and Chemical Synthesis and Analysis (5 papers). Marwin Segler is often cited by papers focused on Machine Learning in Materials Science (21 papers), Computational Drug Discovery Methods (19 papers) and Chemical Synthesis and Analysis (5 papers). Marwin Segler collaborates with scholars based in United Kingdom, Germany and Switzerland. Marwin Segler's co-authors include Mark P. Waller, Mike Preuß, Christian Tyrchan, Thierry Kogej, Nathan Brown, Alain C. Vaucher, Marco Fiscato, Felix Strieth‐Kalthoff, Frederik Sandfort and Frank Glorius and has published in prestigious journals such as Nature, Chemical Society Reviews and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Marwin Segler i

Fields of papers citing papers by Marwin Segler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marwin Segler

Since Specialization
Citations

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