Mehdi Cherti

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 109 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 United States. Mehdi Cherti's co-authors include Jenia Jitsev, Mitchell Wortsman, Romain Beaumont, Ludwig Schmidt, Ross Wightman, C Schuhmann, Gabriel Ilharco and Robert Pitz‐Paal and has published in prestigious journals such as Solar Energy, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2022 International Joint Conference on Neural Networks (IJCNN).

In The Last Decade

Co-authorship network of co-authors of Mehdi Cherti i

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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.

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).

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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