Cyril Cassisa

406 citations
8 papers · 319 · h-index 6

Impact in

Papers in

Journals
Energy Policy (2 papers)Experiments in Fluids (1 paper)Global Environmental Politics (1 paper)Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
Partner nations
ChinaFranceGermany

In The Last Decade

Cyril Cassisa

8 papers receiving 306 citations

Peers

Cyril Cassisa
Comparison fields: 5 of 51
  • Environmental Engineering 122
  • Economics and Econometrics 215
  • Renewable Energy, Sustainability and the Environment 104
  • General Energy 2
  • Computer Vision and Pattern Recognition 40
Replace Jie Mao with:
Jie Mao China
Marc Baudry France
Lucas Kruitwagen United Kingdom
Shasha Yu China
Nariida Smith Australia
Xiaolong Chen China
Thomas Le Gallic France
Rui M. Pereira United States
Yanli Xiao China
Cyril Cassisa relative to Jie Mao China Jie Mao's profile →
Citations per field
00.5×6.4×
Jie Mao · 1×
Citations per year

Countries citing papers authored by Cyril Cassisa

Since Specialization
Citations

This map shows the geographic impact of Cyril Cassisa's research. 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 Cyril Cassisa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cyril Cassisa more than expected).

Fields of papers citing papers by Cyril Cassisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cyril Cassisa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cyril Cassisa. The network helps show where Cyril Cassisa may publish in the future.

Co-authors

The 17 scholars most cited alongside Cyril Cassisa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cyril Cassisa Line = papers co-authored together Cyril Cassisa links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Cyril Cassisa

Cyril Cassisa is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Economics and Econometrics, Computational Mechanics and Media Technology, having authored 8 papers that have together received 319 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Environmental Impact and Sustainability (3 papers), Energy, Environment, Economic Growth (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Image Processing Techniques (2 papers), Climate Change Policy and Economics (2 papers), Image Enhancement Techniques (1 paper) and Flood Risk Assessment and Management (1 paper). The work is most often cited by research in Environmental Engineering (122 citations), Economics and Econometrics (215 citations), Renewable Energy, Sustainability and the Environment (104 citations), General Energy (2 citations) and Computer Vision and Pattern Recognition (40 citations). Cyril Cassisa has collaborated with scholars based in China, France and Germany. Frequent co-authors include Da Zhang, Xiliang Zhang, Valerie J. Karplus, V. Prinet, Serge Simoëns, Liangshan Shao, Tom Spencer, L. Shao, Patrick Criqui and Steve Pye. Their work appears in journals such as Energy Policy, Experiments in Fluids, Global Environmental Politics, Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing and HAL (Le Centre pour la Communication Scientifique Directe).

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.

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