London Institute for Mathematical Sciences
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Complex Network Analysis Techniques 76
- Opinion Dynamics and Social Influence 34
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- Quantum Information and Cryptography 122
- Quantum Computing Algorithms and Architecture 75
- Top scholars
- Renaud LambiotteVincent D. BlondelJean‐Loup GuillaumeMartin B. PlenioWilliam R. TaylorJanet M. ThorntonJens EisertGuido Caldarelli
- Journals
- Physical Review Letters (48 papers)Physical Review A (45 papers)New Journal of Physics (32 papers)PLoS ONE (28 papers)Journal of High Energy Physics (27 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
London Institute for Mathematical Sciences
880 papers receiving 65.1k citations
Peers
Comparison fields: 5 of 244
- Statistical and Nonlinear Physics 13.1k
- Artificial Intelligence 15.6k
- Atomic and Molecular Physics, and Optics 13.2k
- Computational Mathematics 203
- Modeling and Simulation 1.4k
Countries citing scholars working at London Institute for Mathematical Sciences
This map shows the geographic impact of research produced by authors working at London Institute for Mathematical Sciences. 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 Institute for Mathematical Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites London Institute for Mathematical Sciences more than expected).
Fields of papers published by authors at London Institute for Mathematical Sciences
This network shows the impact of papers affiliated with London Institute for Mathematical Sciences 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 Institute for Mathematical Sciences at the time of their publication.
About London Institute for Mathematical Sciences
In recent decades, authors affiliated with London Institute for Mathematical Sciences have published 973 papers, which have received a total of 67.0k indexed citations . Scholars at this organization have produced 162 papers in Statistical and Nonlinear Physics, 190 papers in Artificial Intelligence, 162 papers in Atomic and Molecular Physics, and Optics, 41 papers in Geometry and Topology and 57 papers in Nuclear and High Energy Physics on the topics of Quantum Information and Cryptography (122 papers), Complex Network Analysis Techniques (76 papers), Quantum Computing Algorithms and Architecture (75 papers), Quantum Mechanics and Applications (74 papers), Black Holes and Theoretical Physics (52 papers), Fluid Dynamics and Turbulent Flows (47 papers), Complex Systems and Time Series Analysis (38 papers) and Opinion Dynamics and Social Influence (34 papers). Their work is cited by papers focused on Statistical and Nonlinear Physics (13.1k citations), Artificial Intelligence (15.6k citations), Atomic and Molecular Physics, and Optics (13.2k citations), Computational Mathematics (203 citations) and Modeling and Simulation (1.4k citations). Authors at London Institute for Mathematical Sciences collaborate with scholars in United Kingdom, United States and Italy and have published in prestigious journals including Physical Review Letters, Physical Review A, New Journal of Physics, PLoS ONE and Journal of High Energy Physics. Some of London Institute for Mathematical Sciences's most productive authors include Renaud Lambiotte, Vincent D. Blondel, Jean‐Loup Guillaume, Martin B. Plenio, William R. Taylor, Janet M. Thornton, Jens Eisert, Guido Caldarelli, David J. Hand and M. Cramer.
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.