Yamine Aït‐Ameur
- Artificial Intelligence
- Software top 10%
- Computational Theory and Mathematics top 10%
- Information Systems
- Computer Networks and Communications
- Co-authors
- Virginie WielsKlaus‐Dieter ScheweFrédéric BoniolDominique MéryMarc PantelNeeraj Kumar SinghGuillaume DupontStéphane Jean
- Topics
- Formal Methods in Verification (17 papers)Model-Driven Software Engineering Techniques (15 papers)Service-Oriented Architecture and Web Services (11 papers)
- Partner nations
- FranceAustriaUnited Kingdom
In The Last Decade
Yamine Aït‐Ameur
34 papers receiving 116 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 53
- Software 42
- Computational Theory and Mathematics 37
- Information Systems 36
- Computer Networks and Communications 28
Countries citing papers authored by Yamine Aït‐Ameur
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).
Fields of papers citing papers by Yamine Aït‐Ameur
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.
Co-authorship network of co-authors of Yamine Aït‐Ameur
This figure shows the co-authorship network connecting the top 25 collaborators of Yamine Aït‐Ameur. A scholar is included among the top collaborators of Yamine Aït‐Ameur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yamine Aït‐Ameur. Yamine Aït‐Ameur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | From BPEL to Event-B | 6 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 19 | |
| 18 | OntoQL: an exploitation language for OBDBs | 2 |
| 19 | 1 | |
| 20 | 2 |
About Yamine Aït‐Ameur
Yamine Aït‐Ameur is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 38 papers that have together received 123 indexed citations. Recurring topics across this work include Formal Methods in Verification (17 papers), Model-Driven Software Engineering Techniques (15 papers) and Service-Oriented Architecture and Web Services (11 papers). The work is most often cited by research in Software (42 citations), Safety, Risk, Reliability and Quality (24 citations) and Computational Theory and Mathematics (37 citations). Yamine Aït‐Ameur has collaborated with scholars based in France, Austria and United Kingdom. Frequent co-authors include Virginie Wiels, Klaus‐Dieter Schewe, Frédéric Boniol, Dominique Méry, Marc Pantel, Neeraj Kumar Singh, Guillaume Dupont, Stéphane Jean, Guy Pierra and Shengchao Qin. Their work appears in journals such as IEEE Transactions on Reliability, ACM SIGPLAN Notices and Soft Computing.
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.