Yamine Aït‐Ameur

26 papers and 69 indexed citations i.

About

Yamine Aït‐Ameur is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics. According to data from OpenAlex, Yamine Aït‐Ameur has authored 26 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Software and 13 papers in Computational Theory and Mathematics. Recurrent topics in Yamine Aït‐Ameur’s work include Model-Driven Software Engineering Techniques (14 papers), Formal Methods in Verification (12 papers) and Advanced Software Engineering Methodologies (9 papers). Yamine Aït‐Ameur is often cited by papers focused on Model-Driven Software Engineering Techniques (14 papers), Formal Methods in Verification (12 papers) and Advanced Software Engineering Methodologies (9 papers). Yamine Aït‐Ameur collaborates with scholars based in France, Austria and Algeria. Yamine Aït‐Ameur's co-authors include Klaus‐Dieter Schewe, Shengchao Qin, Frédéric Boniol, Virginie Wiels, Dominique Méry, Marc Pantel, Guillaume Dupont, Neeraj Kumar Singh, Ladjel Bellatreche and Stéphane Jean and has published in prestigious journals such as IEEE Transactions on Reliability, Soft Computing and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Yamine Aït‐Ameur i

Fields of papers citing papers by Yamine Aït‐Ameur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yamine Aït‐Ameur. 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 Yamine Aït‐Ameur. The network helps show where Yamine Aït‐Ameur may publish in the future.

Countries citing papers authored by Yamine Aït‐Ameur

Since Specialization
Citations

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