John Lamperti

3.8k citations
59 papers · 2.5k · h-index 26

Impact in

    • Stochastic processes and statistical mechanics
    • Mathematical Dynamics and Fractals
  • Finance top 1%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling

Papers in

    • Stochastic processes and statistical mechanics 11
    • advanced mathematical theories 4
    • Mathematical Dynamics and Fractals 3
    • Stochastic processes and financial applications 7

John Lamperti

54 papers receiving 1.9k citations

Peers

John Lamperti
Comparison fields: 5 of 99
  • Mathematical Physics 1.3k
  • Finance 747
  • Statistics and Probability 485
  • Applied Mathematics 332
  • Management Science and Operations Research 315
Replace Samuel J. Taylor with:
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E. B. Dynkin United States
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J. Neveu France
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R. L. Dobrushin Russia
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P. A. Meyer France
John Lamperti relative to Samuel J. Taylor United States Samuel J. Taylor's profile →
Citations per field
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Samuel J. Taylor · 1×
Citations per year

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).

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.

Co-authors

The 13 scholars most cited alongside John Lamperti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Lamperti Line = papers co-authored together John Lamperti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1962352
2 1958224
3 1972205
4 1958154
5 1967148
6 1967115
7 1960102
8 196487
9 197985
10 197782
11 197767
12 196366
13 199662
14 196260
15 196254
16 196252
17 196750
18 195947
19 196844
20 195841

About John Lamperti

John Lamperti is a scholar working on Mathematical Physics, Finance, Statistics and Probability, Artificial Intelligence and Applied Mathematics, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (11 papers), Stochastic processes and financial applications (7 papers), advanced mathematical theories (4 papers), Probability and Risk Models (3 papers), Approximation Theory and Sequence Spaces (3 papers), Mathematical Dynamics and Fractals (3 papers), Bayesian Methods and Mixture Models (3 papers) and Mathematical functions and polynomials (2 papers). The work is most often cited by research in Mathematical Physics (1.3k citations), Finance (747 citations), Statistics and Probability (485 citations), Applied Mathematics (332 citations) and Management Science and Operations Research (315 citations). John Lamperti has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Patrick Suppes, Peter F. Thall, Adriano M. Garsia, Peter Ney, Arlene S. Ash, Paul Embrechts, Matthew Leighton, David G. Kendall, Jennifer Leaning and Leopold Flatto. Their work appears in journals such as Transactions of the American Mathematical Society, Pacific Journal of Mathematics, Proceedings of the American Mathematical Society, Journal of Mathematical Analysis and Applications and Mathematical Proceedings of the Cambridge Philosophical Society.

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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