Riadh Ksantini
About
In The Last Decade
Riadh Ksantini
65 papers receiving 538 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 242
- Computer Vision and Pattern Recognition 200
- Electrical and Electronic Engineering 66
- Signal Processing 60
- Computer Networks and Communications 55
Countries citing papers authored by Riadh Ksantini
This map shows the geographic impact of Riadh Ksantini'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 Riadh Ksantini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riadh Ksantini more than expected).
Fields of papers citing papers by Riadh Ksantini
This network shows the impact of papers produced by Riadh Ksantini. 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 Riadh Ksantini. The network helps show where Riadh Ksantini may publish in the future.
Co-authorship network of co-authors of Riadh Ksantini
This figure shows the co-authorship network connecting the top 25 collaborators of Riadh Ksantini. A scholar is included among the top collaborators of Riadh Ksantini 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 Riadh Ksantini. Riadh Ksantini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 38 | |
| 14 | 54 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 0 | |
| 18 | 7 | |
| 19 | A Bayesian Kernel logistic discriminant model: an improvement to the Kernel Fisher's discriminant | 0 |
| 20 | 23 |
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.