Zied Elouedi
- Artificial Intelligence top 2%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 5%
- Signal Processing top 10%
- Co-authors
- Khaled MellouliÉric LefèvreAbir SmitiNahla Ben AmorIlyes JenhaniP. SmetsZaineb Chelly DagdiaPhilippe Smets
- Topics
- Rough Sets and Fuzzy Logic (20 papers)Data Mining Algorithms and Applications (16 papers)Multi-Criteria Decision Making (13 papers)
In The Last Decade
Zied Elouedi
60 papers receiving 826 citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 518
- Information Systems 195
- Management Science and Operations Research 183
- Computational Theory and Mathematics 181
- Signal Processing 91
Countries citing papers authored by Zied Elouedi
This map shows the geographic impact of Zied Elouedi'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 Zied Elouedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zied Elouedi more than expected).
Fields of papers citing papers by Zied Elouedi
This network shows the impact of papers produced by Zied Elouedi. 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 Zied Elouedi. The network helps show where Zied Elouedi may publish in the future.
Co-authorship network of co-authors of Zied Elouedi
This figure shows the co-authorship network connecting the top 25 collaborators of Zied Elouedi. A scholar is included among the top collaborators of Zied Elouedi 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 Zied Elouedi. Zied Elouedi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 0 | |
| 9 | 27 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | Competence and Performance-Improving approach for maintaining Case-Based Reasoning Systems | 2 |
| 15 | 28 | |
| 16 | 81 | |
| 17 | 20 | |
| 18 | 117 | |
| 19 | 80 | |
| 20 | Decision Trees Using the Belief Function Theory | 6 |
About Zied Elouedi
Zied Elouedi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 64 papers that have together received 883 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (20 papers), Data Mining Algorithms and Applications (16 papers) and Multi-Criteria Decision Making (13 papers). The work is most often cited by research in Artificial Intelligence (518 citations), Management Science and Operations Research (183 citations) and Computational Theory and Mathematics (181 citations). Zied Elouedi has collaborated with scholars based in Tunisia, France and Canada. Frequent co-authors include Khaled Mellouli, Éric Lefèvre, Abir Smiti, Nahla Ben Amor, Ilyes Jenhani, P. Smets, Zaineb Chelly Dagdia, Philippe Smets, I. Boukhris and Pawan Lingras. Their work appears in journals such as Information Sciences, Fuzzy Sets and Systems and Decision Support Systems.
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.