Institut Pascal
Impact in
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- Algal biology and biofuel production
- Building and Construction top 5%
Papers in
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- Advanced Vision and Imaging 219
- Robotic Path Planning Algorithms 149
- Optical measurement and interference techniques 135
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- Wood Treatment and Properties 124
- Top scholars
- Philippe MichaudCédric DelattreDmitry D. SolnyshkovSofiane AmzianeChristian LarrocheMichel GrédiacGuillaume MALPUECHAlexey Vitalievich Kavokin
- Journals
- Physical Review B (55 papers)Physical Review Letters (46 papers)Applied Sciences (42 papers)Construction and Building Materials (35 papers)Bioresource Technology (34 papers)
- Partner nations
- FranceArgentinaUnited States
In The Last Decade
Institut Pascal
4.1k papers receiving 89.8k citations
Peers
Comparison fields: 5 of 245
- Renewable Energy, Sustainability and the Environment 7.4k
- Building and Construction 5.9k
- Computer Vision and Pattern Recognition 9.0k
- Civil and Structural Engineering 9.0k
- Atomic and Molecular Physics, and Optics 11.8k
Countries citing scholars working at Institut Pascal
This map shows the geographic impact of research produced by authors working at Institut Pascal. 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 Institut Pascal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institut Pascal more than expected).
Fields of papers published by authors at Institut Pascal
This network shows the impact of papers affiliated with Institut Pascal 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 Institut Pascal at the time of their publication.
About Institut Pascal
In recent decades, authors affiliated with Institut Pascal have published 4.5k papers, which have received a total of 94.1k indexed citations . Scholars at this organization have produced 610 papers in Computer Vision and Pattern Recognition, 307 papers in Building and Construction, 460 papers in Civil and Structural Engineering, 532 papers in Atomic and Molecular Physics, and Optics and 113 papers in Surfaces, Coatings and Films on the topics of Robotics and Sensor-Based Localization (234 papers), Advanced Vision and Imaging (219 papers), Strong Light-Matter Interactions (180 papers), Robotic Path Planning Algorithms (149 papers), Optical measurement and interference techniques (135 papers), Algal biology and biofuel production (126 papers), Wood Treatment and Properties (124 papers) and Semiconductor Quantum Structures and Devices (113 papers). Their work is cited by papers focused on Renewable Energy, Sustainability and the Environment (7.4k citations), Building and Construction (5.9k citations), Computer Vision and Pattern Recognition (9.0k citations), Civil and Structural Engineering (9.0k citations) and Atomic and Molecular Physics, and Optics (11.8k citations). Authors at Institut Pascal collaborate with scholars in France, Argentina and United States and have published in prestigious journals including Physical Review B, Physical Review Letters, Applied Sciences, Construction and Building Materials and Bioresource Technology. Some of Institut Pascal's most productive authors include Philippe Michaud, Cédric Delattre, Dmitry D. Solnyshkov, Sofiane Amziane, Christian Larroche, Michel Grédiac, Guillaume MALPUECH, Alexey Vitalievich Kavokin, Maxime Lhuillier and Pascal Henry Biwolé.
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.