John Lamperti

49 papers and 2.2k indexed citations i.

About

John Lamperti is a scholar working on Mathematical Physics, Finance and Artificial Intelligence. According to data from OpenAlex, John Lamperti has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mathematical Physics, 8 papers in Finance and 5 papers in Artificial Intelligence. Recurrent topics in John Lamperti’s work include Stochastic processes and statistical mechanics (10 papers), Stochastic processes and financial applications (7 papers) and advanced mathematical theories (4 papers). John Lamperti is often cited by papers focused on Stochastic processes and statistical mechanics (10 papers), Stochastic processes and financial applications (7 papers) and advanced mathematical theories (4 papers). John Lamperti collaborates with scholars based in United States, France and United Kingdom. John Lamperti's co-authors include Patrick Suppes, Adriano M. Garsia, Peter F. Thall, Peter Ney, Paul Embrechts, David G. Kendall, Leopold Flatto, Jennifer Leaning, Matthew P. Leighton and Herbert L. Abrams and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.

In The Last Decade

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

Fields of papers citing papers by John Lamperti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Lamperti

Since Specialization
Citations

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