Mehdi Cherti

1.8k total citations · 1 hit paper
6 papers, 237 citations indexed

About

Mehdi Cherti is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Mehdi Cherti has authored 6 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Renewable Energy, Sustainability and the Environment and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Mehdi Cherti's work include Solar Thermal and Photovoltaic Systems (4 papers), Solar Radiation and Photovoltaics (3 papers) and solar cell performance optimization (2 papers). Mehdi Cherti is often cited by papers focused on Solar Thermal and Photovoltaic Systems (4 papers), Solar Radiation and Photovoltaics (3 papers) and solar cell performance optimization (2 papers). Mehdi Cherti collaborates with scholars based in Germany and United States. Mehdi Cherti's co-authors include Jenia Jitsev, Christoph Schuhmann, Mitchell Wortsman, Romain Beaumont, Ross Wightman, Ludwig Schmidt, Gabriel Ilharco and Robert Pitz‐Paal and has published in prestigious journals such as Solar Energy and 2022 International Joint Conference on Neural Networks (IJCNN).

In The Last Decade

Mehdi Cherti

6 papers receiving 226 citations

Hit Papers

Reproducible Scaling Laws for Contrastive Language-Image ... 2023 2026 2024 2025 2023 50 100 150 200

Peers

Mehdi Cherti
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 140
  • Artificial Intelligence 106
  • Radiology, Nuclear Medicine and Imaging 13
  • Renewable Energy, Sustainability and the Environment 11
  • Media Technology 10
Replace Shuai Jia with:
Shuai Jia China
Shukang Yin China
Noel Codella United States
Yiwu Zhong United States
Hangjie Yuan China
Romain Beaumont United States
Tianjun Xiao China
Linjun Zhou China
Xinzhe Li China
Shuai Jia China View profile →
Citations per field, relative to Mehdi Cherti
Mehdi Cherti · 1×
Citations per year, relative to Mehdi Cherti
Mehdi Cherti · 1×

Countries citing papers authored by Mehdi Cherti

Since Specialization
Citations

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

Fields of papers citing papers by Mehdi Cherti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mehdi Cherti. 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 Mehdi Cherti. The network helps show where Mehdi Cherti may publish in the future.

Co-authorship network of co-authors of Mehdi Cherti

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Cherti. A scholar is included among the top collaborators of Mehdi Cherti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mehdi Cherti. Mehdi Cherti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1 1
2 3
3 3
4 3
5
Reproducible Scaling Laws for Contrastive Language-Image Learning breakdown →
213
6 14

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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