Ines Njeh

12 papers and 264 indexed citations i.

About

Ines Njeh is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, Ines Njeh has authored 12 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Neurology and 4 papers in Artificial Intelligence. Recurrent topics in Ines Njeh’s work include Brain Tumor Detection and Classification (7 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Neural Network Applications (4 papers). Ines Njeh is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Neural Network Applications (4 papers). Ines Njeh collaborates with scholars based in Tunisia, Canada and France. Ines Njeh's co-authors include Hiba Mzoughi, Chokri Mhiri, Mohamed Ben Slima, Ali Wali, Ismail Ben Ayed, Stéphane Lehéricy, Damien Galanaud, Stephane Lehéricy and Ahmed Ben Hamida and has published in prestigious journals such as Biomedical Signal Processing and Control, Multimedia Tools and Applications and Applied Intelligence.

In The Last Decade

Co-authorship network of co-authors of Ines Njeh i

Fields of papers citing papers by Ines Njeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ines Njeh

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025