Nédra Mellouli

19 papers and 223 indexed citations i.

About

Nédra Mellouli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Nédra Mellouli has authored 19 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Global and Planetary Change. Recurrent topics in Nédra Mellouli’s work include Climate variability and models (4 papers), Global Drought Monitoring and Assessment (4 papers) and Flood Risk Assessment and Management (4 papers). Nédra Mellouli is often cited by papers focused on Climate variability and models (4 papers), Global Drought Monitoring and Assessment (4 papers) and Flood Risk Assessment and Management (4 papers). Nédra Mellouli collaborates with scholars based in France, Tunisia and China. Nédra Mellouli's co-authors include Myriam Lamolle, Imed Riadh Farah, Yan‐Fang Sang, Ali Ben Abbes, Sidahmed Benabderrahmane, Sadok Ben Yahia, Akram Hakiri, Aniruddha Gokhale, Herman Akdag and Hajer Baazaoui Zghal and has published in prestigious journals such as Expert Systems with Applications, Fuzzy Sets and Systems and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Nédra Mellouli i

Fields of papers citing papers by Nédra Mellouli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nédra Mellouli

Since Specialization
Citations

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