Afif Masmoudi
- Artificial Intelligence top 5%
- Statistics and Probability top 5%
- Finance top 5%
- Computer Vision and Pattern Recognition top 10%
- Accounting top 10%
- Co-authors
- Atef MasmoudiCélestin C. KokonendjiAhmed RebaïMouna Boujelbène AbbesYousra TrichilliFaı̈ez GargouriAnis ElaoudWilliam Puech
- Topics
- Bayesian Methods and Mixture Models (24 papers)Statistical Distribution Estimation and Applications (22 papers)Bayesian Modeling and Causal Inference (12 papers)
- Partner nations
- TunisiaFranceSaudi Arabia
In The Last Decade
Afif Masmoudi
77 papers receiving 523 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 221
- Statistics and Probability 115
- Finance 97
- Computer Vision and Pattern Recognition 75
- Accounting 69
Countries citing papers authored by Afif Masmoudi
This map shows the geographic impact of Afif Masmoudi'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 Afif Masmoudi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afif Masmoudi more than expected).
Fields of papers citing papers by Afif Masmoudi
This network shows the impact of papers produced by Afif Masmoudi. 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 Afif Masmoudi. The network helps show where Afif Masmoudi may publish in the future.
Co-authorship network of co-authors of Afif Masmoudi
This figure shows the co-authorship network connecting the top 25 collaborators of Afif Masmoudi. A scholar is included among the top collaborators of Afif Masmoudi 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 Afif Masmoudi. Afif Masmoudi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 15 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | Applied Mathematics in Tunisia: International Conference on Advances in Applied Mathematics (ICAAM), Hammamet, Tunisia, December 2013 | 0 |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 40 | |
| 18 | 17 | |
| 19 | Steepness in Natural Exponential Families | 2 |
| 20 | 9 |
About Afif Masmoudi
Afif Masmoudi is a scholar working on Statistics and Probability, Finance and Artificial Intelligence, having authored 88 papers that have together received 538 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (24 papers), Statistical Distribution Estimation and Applications (22 papers) and Bayesian Modeling and Causal Inference (12 papers). The work is most often cited by research in Statistics and Probability (115 citations), Finance (97 citations) and Artificial Intelligence (221 citations). Afif Masmoudi has collaborated with scholars based in Tunisia, France and Saudi Arabia. Frequent co-authors include Atef Masmoudi, Célestin C. Kokonendji, Ahmed Rebaï, Mouna Boujelbène Abbes, Yousra Trichilli, Faı̈ez Gargouri, Anis Elaoud, William Puech, Philippe Leray and Thierry Lecroq. Their work appears in journals such as Expert Systems with Applications, Journal of Theoretical Biology and Neurocomputing.
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.