Hiba Chougrad

About

Hiba Chougrad is a scholar working on Artificial Intelligence, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Hiba Chougrad has authored 7 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Materials Chemistry and 2 papers in Molecular Biology. Recurrent topics in Hiba Chougrad’s work include Advanced Graph Neural Networks (3 papers), Machine Learning in Materials Science (3 papers) and Bioinformatics and Genomic Networks (2 papers). Hiba Chougrad is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Machine Learning in Materials Science (3 papers) and Bioinformatics and Genomic Networks (2 papers). Hiba Chougrad collaborates with scholars based in Morocco. Hiba Chougrad's co-authors include Hamid Zouaki and has published in prestigious journals such as Neurocomputing, Neural Networks and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Hiba Chougrad i

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Fields of papers citing papers by Hiba Chougrad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hiba Chougrad

Since Specialization

Citations

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