London Mathematical Laboratory

8.4k citations
465 papers ·

Impact in

Papers in

London Mathematical Laboratory

396 papers receiving 7.9k citations

Peers

London Mathematical Laboratory
Comparison fields: 5 of 219
  • Statistical and Nonlinear Physics 1.2k
  • Applied Microbiology and Biotechnology 127
  • Hardware and Architecture 480
  • Atmospheric Science 957
  • Global and Planetary Change 1.1k
Replace Numerical Algorithms Group (United Kingdom) with:
Numerical Algorithms Group (United Kingdom) United Kingdom
Bristol Laboratories (United Kingdom) United Kingdom
Institute for Applied Systems Technology Bremen Germany
Office of Naval Research United Kingdom
Institut des Arts de Diffusion Belgium
Fujitsu (United Kingdom) United Kingdom
Dassault Aviation (France) France
Royal Statistical Society United Kingdom
Centre for Innovation in Regulatory Science United Kingdom
Laboratoire de Probabilités, Statistique et Modélisation France
London Mathematical Laboratory relative to Numerical Algorithms Group (United Kingdom) United Kingdom Numerical Algorithms Group (United Kingdom)'s profile →
Citations per field
00.5×2×3.5×
Numerical Algorithms Group (United Kingdom) · 1×
Citations per year

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).

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.

About London Mathematical Laboratory

In recent decades, authors affiliated with London Mathematical Laboratory have published 465 papers, which have received a total of 8.4k indexed citations . Scholars at this organization have produced 69 papers in Statistical and Nonlinear Physics, 20 papers in Modeling and Simulation, 70 papers in Global and Planetary Change, 30 papers in Mathematical Physics and 53 papers in Atmospheric Science on the topics of Climate variability and models (59 papers), Meteorological Phenomena and Simulations (41 papers), Complex Systems and Time Series Analysis (32 papers), Complex Network Analysis Techniques (23 papers), Theoretical and Computational Physics (21 papers), Opinion Dynamics and Social Influence (19 papers), Tropical and Extratropical Cyclones Research (17 papers) and COVID-19 epidemiological studies (17 papers). Their work is cited by papers focused on Statistical and Nonlinear Physics (1.2k citations), Applied Microbiology and Biotechnology (127 citations), Hardware and Architecture (480 citations), Atmospheric Science (957 citations) and Global and Planetary Change (1.1k citations). Authors at London Mathematical Laboratory collaborate with scholars in United Kingdom, France and United States and have published in prestigious journals including Physical review. E, The Computer Journal, Mathematical Proceedings of the Cambridge Philosophical Society, Chaos An Interdisciplinary Journal of Nonlinear Science and Scientific Reports. Some of London Mathematical Laboratory's most productive authors include Simon P.A. Gill, Davide Faranda, Maurice Vincent Wilkes, Paul Glendinning, Colin T. Sparrow, David F. Mayers, Ole Peters, Gabriele Messori, Pascal Yiou and Michelle Girvan.

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.

Explore institutions with similar magnitude of impact