Scott C. Schmidler

30 papers and 672 indexed citations i.

About

Scott C. Schmidler is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Scott C. Schmidler has authored 30 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Artificial Intelligence and 8 papers in Statistics and Probability. Recurrent topics in Scott C. Schmidler’s work include Protein Structure and Dynamics (10 papers), Bayesian Methods and Mixture Models (7 papers) and Markov Chains and Monte Carlo Methods (6 papers). Scott C. Schmidler is often cited by papers focused on Protein Structure and Dynamics (10 papers), Bayesian Methods and Mixture Models (7 papers) and Markov Chains and Monte Carlo Methods (6 papers). Scott C. Schmidler collaborates with scholars based in United States, United Kingdom and China. Scott C. Schmidler's co-authors include Douglas L. Brutlag, Jun S. Liu, Mark Huber, Dawn B. Woodard, Chunlin Ji, Rotem Ben‐Shachar, Katia Koelle, Joellen M. Schildkraut, Edwin S. Iversen and Sina Farsiu and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Scott C. Schmidler i

Fields of papers citing papers by Scott C. Schmidler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott C. Schmidler. 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 Scott C. Schmidler. The network helps show where Scott C. Schmidler may publish in the future.

Countries citing papers authored by Scott C. Schmidler

Since Specialization
Citations

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