Anis Kacem

20 papers and 149 indexed citations i.

About

Anis Kacem is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Anis Kacem has authored 20 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 3 papers in Artificial Intelligence. Recurrent topics in Anis Kacem’s work include 3D Shape Modeling and Analysis (5 papers), Face recognition and analysis (3 papers) and 3D Surveying and Cultural Heritage (3 papers). Anis Kacem is often cited by papers focused on 3D Shape Modeling and Analysis (5 papers), Face recognition and analysis (3 papers) and 3D Surveying and Cultural Heritage (3 papers). Anis Kacem collaborates with scholars based in Luxembourg, Tunisia and France. Anis Kacem's co-authors include Mohamed Daoudi, Stefano Berretti, Lahoucine Ballihi, Jeffrey P. Cohn, Zakia Hammal, Boulbaba Ben Amor, Djamila Aouada, Gleb Gusev, Zouhaïr Tabka and Laurent Grélot and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Anis Kacem i

Fields of papers citing papers by Anis Kacem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anis Kacem

Since Specialization
Citations

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