London Mathematical Laboratory

265 papers and 4.0k indexed citations i.

About

In recent decades, authors affiliated with London Mathematical Laboratory have published 265 papers, which have received a total of 4.0k indexed citations. Scholars at this organization have produced 62 papers in Global and Planetary Change, 57 papers in Statistical and Nonlinear Physics and 52 papers in Economics and Econometrics on the topics of Climate variability and models (53 papers), Meteorological Phenomena and Simulations (37 papers) and Complex Systems and Time Series Analysis (37 papers). Their work is cited by papers focused on Global and Planetary Change (843 citations), Atmospheric Science (701 citations) and Statistical and Nonlinear Physics (592 citations). Authors at London Mathematical Laboratory collaborate with scholars in United Kingdom, France and Italy and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Physical Review Letters. Some of London Mathematical Laboratory's most productive authors include Simon P.A. Gill, Davide Faranda, M. V. Wilkes, Ole Peters, D. F. Mayers, Gabriele Messori, Pascal Yiou, Tommaso Alberti, Colm Connaughton and Fabio Caccioli.

In The Last Decade

Fields of papers published by authors at London Mathematical Laboratory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with London Mathematical Laboratory at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with London Mathematical Laboratory at the time of their publication.

Countries citing scholars working at London Mathematical Laboratory

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at London Mathematical Laboratory. 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 papers produced at London Mathematical Laboratory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites London Mathematical Laboratory 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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