Michael S. Waterman

196 papers and 15.2k indexed citations i.

About

Michael S. Waterman is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Michael S. Waterman has authored 196 papers receiving a total of 15.2k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Molecular Biology, 61 papers in Artificial Intelligence and 23 papers in Genetics. Recurrent topics in Michael S. Waterman’s work include Genomics and Phylogenetic Studies (61 papers), Algorithms and Data Compression (49 papers) and RNA and protein synthesis mechanisms (47 papers). Michael S. Waterman is often cited by papers focused on Genomics and Phylogenetic Studies (61 papers), Algorithms and Data Compression (49 papers) and RNA and protein synthesis mechanisms (47 papers). Michael S. Waterman collaborates with scholars based in United States, China and United Kingdom. Michael S. Waterman's co-authors include Temple F. Smith, Eric S. Lander, Pavel A. Pevzner, Richard Arratia, Haixu Tang, Fengzhu Sun, Gesine Reinert, Thomas B. L. Kirkwood, W. A. Beyer and Martin Vingron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Michael S. Waterman i

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Fields of papers citing papers by Michael S. Waterman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Waterman. 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 Michael S. Waterman. The network helps show where Michael S. Waterman may publish in the future.

Countries citing papers authored by Michael S. Waterman

Since Specialization

Citations

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