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 80
- Opinion Dynamics and Social Influence 38
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- Quantum Information and Cryptography 119
- Quantum Computing Algorithms and Architecture 71
- Top scholars
- Renaud LambiotteVincent D. BlondelJean‐Loup GuillaumeMartin Bodo PlenioJens EisertGuido CaldarelliDavid J. HandM. Cramer
- Journals
- Physical Review Letters (50 papers)Physical Review A (48 papers)New Journal of Physics (32 papers)PLoS ONE (27 papers)Journal of High Energy Physics (27 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
London Institute for Mathematical Sciences
795 papers receiving 56.9k citations
Peers
Comparison fields: 5 of 242
- Statistical and Nonlinear Physics 13.4k
- Artificial Intelligence 15.8k
- Atomic and Molecular Physics, and Optics 13.4k
- Computational Mathematics 209
- 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 874 papers, which have received a total of 59.0k indexed citations . Scholars at this organization have produced 164 papers in Statistical and Nonlinear Physics, 189 papers in Artificial Intelligence, 18 papers in Discrete Mathematics and Combinatorics, 161 papers in Atomic and Molecular Physics, and Optics and 46 papers in Geometry and Topology on the topics of Quantum Information and Cryptography (119 papers), Complex Network Analysis Techniques (80 papers), Quantum Computing Algorithms and Architecture (71 papers), Quantum Mechanics and Applications (71 papers), Black Holes and Theoretical Physics (52 papers), Fluid Dynamics and Turbulent Flows (45 papers), Complex Systems and Time Series Analysis (39 papers) and Opinion Dynamics and Social Influence (38 papers). Their work is cited by papers focused on Statistical and Nonlinear Physics (13.4k citations), Artificial Intelligence (15.8k citations), Atomic and Molecular Physics, and Optics (13.4k citations), Computational Mathematics (209 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 Bodo Plenio, Jens Eisert, Guido Caldarelli, David J. Hand, M. Cramer, Nick Goldman and Terry Rudolph.
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.