Trinity College London
Impact in
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- Monetary Policy and Economic Impact
- Global trade and economics
- Economics and Econometrics top 2%
- Energy, Environment, Economic Growth
- Fiscal Policy and Economic Growth
- Market Dynamics and Volatility
- Economic Growth and Productivity
Papers in
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- Limits and Structures in Graph Theory 44
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- Graph theory and applications 19
- Top scholars
- M. Hashem PesaranYongcheol ShinRichard J. SmithKyung So ImRon SmithAlexander ChudíkBéla BollobásAmartya Sen
- Journals
- Journal of Econometrics (19 papers)Random Structures and Algorithms (12 papers)Journal of Combinatorial Theory Series B (10 papers)Journal of Applied Econometrics (10 papers)Journal of Historical Geography (8 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Trinity College London
497 papers receiving 50.5k citations
Peers
Comparison fields: 5 of 240
- General Economics, Econometrics and Finance 13.9k
- Economics and Econometrics 33.2k
- Finance 6.9k
- Renewable Energy, Sustainability and the Environment 8.9k
- General Energy 348
Countries citing scholars working at Trinity College London
This map shows the geographic impact of research produced by authors working at Trinity College London. 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 Trinity College London with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trinity College London more than expected).
Fields of papers published by authors at Trinity College London
This network shows the impact of papers affiliated with Trinity College London 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 Trinity College London at the time of their publication.
About Trinity College London
In recent decades, authors affiliated with Trinity College London have published 559 papers, which have received a total of 51.2k indexed citations . Scholars at this organization have produced 49 papers in Discrete Mathematics and Combinatorics, 48 papers in Geometry and Topology, 21 papers in History and Philosophy of Science, 33 papers in General Economics, Econometrics and Finance and 33 papers in Mathematical Physics on the topics of Limits and Structures in Graph Theory (44 papers), Advanced Graph Theory Research (36 papers), Monetary Policy and Economic Impact (31 papers), Graph theory and applications (19 papers), Market Dynamics and Volatility (18 papers), Spatial and Panel Data Analysis (18 papers), Fiscal Policy and Economic Growth (17 papers) and Quantum Mechanics and Applications (16 papers). Their work is cited by papers focused on General Economics, Econometrics and Finance (13.9k citations), Economics and Econometrics (33.2k citations), Finance (6.9k citations), Renewable Energy, Sustainability and the Environment (8.9k citations) and General Energy (348 citations). Authors at Trinity College London collaborate with scholars in United Kingdom, United States and Canada and have published in prestigious journals including Journal of Econometrics, Random Structures and Algorithms, Journal of Combinatorial Theory Series B, Journal of Applied Econometrics and Journal of Historical Geography. Some of Trinity College London's most productive authors include M. Hashem Pesaran, Yongcheol Shin, Richard J. Smith, Kyung So Im, Ron Smith, Alexander Chudík, Béla Bollobás, Amartya Sen, Oliver Riordan and Sudhir Anand.
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.