John Mount

10 papers and 134 indexed citations i.

About

John Mount is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Molecular Biology. According to data from OpenAlex, John Mount has authored 10 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 6 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in John Mount’s work include Markov Chains and Monte Carlo Methods (5 papers), Chemical Synthesis and Analysis (3 papers) and Computational Drug Discovery Methods (3 papers). John Mount is often cited by papers focused on Markov Chains and Monte Carlo Methods (5 papers), Chemical Synthesis and Analysis (3 papers) and Computational Drug Discovery Methods (3 papers). John Mount collaborates with scholars based in United States and United Kingdom. John Mount's co-authors include Ravi Kannan, Martin Dyer, Ajay N. Jain, Jim Ruppert, Jennifer L. Miller, Robert V. Stanton, Dominic Welsh, Oren Etzioni, Sridhar Tayur and Prasad Chalasani and has published in prestigious journals such as Journal of Medicinal Chemistry, Mathematics of Operations Research and Journal of Molecular Graphics and Modelling.

In The Last Decade

Co-authorship network of co-authors of John Mount i

Fields of papers citing papers by John Mount

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Mount

Since Specialization
Citations

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