Fethi Fkih
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Sociology and Political Science
- Co-authors
- Mohamed Nazih OmriAbdulatif AlabdulatifTarek MoulahiMohammed AlsuhaibaniAli Mustafa QamarNasir SaleemManal Abdullah AlohaliHela Elmannai
- Topics
- Spam and Phishing Detection (7 papers)Sentiment Analysis and Opinion Mining (6 papers)Advanced Text Analysis Techniques (4 papers)
- Partner nations
- TunisiaSaudi ArabiaPakistan
In The Last Decade
Fethi Fkih
23 papers receiving 224 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 132
- Information Systems 122
- Computer Vision and Pattern Recognition 52
- Computer Networks and Communications 33
- Sociology and Political Science 32
Countries citing papers authored by Fethi Fkih
This map shows the geographic impact of Fethi Fkih'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 Fethi Fkih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fethi Fkih more than expected).
Fields of papers citing papers by Fethi Fkih
This network shows the impact of papers produced by Fethi Fkih. 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 Fethi Fkih. The network helps show where Fethi Fkih may publish in the future.
Co-authorship network of co-authors of Fethi Fkih
This figure shows the co-authorship network connecting the top 25 collaborators of Fethi Fkih. A scholar is included among the top collaborators of Fethi Fkih 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 Fethi Fkih. Fethi Fkih 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 | 6 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 70 | |
| 16 | 12 | |
| 17 | FCA_Retrieval: A Multi-operator Algorithm for Information Retrieval from Binary Concept Lattice. | 1 |
| 18 | 21 | |
| 19 | 10 | |
| 20 | 11 |
About Fethi Fkih
Fethi Fkih is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 24 papers that have together received 233 indexed citations. Recurring topics across this work include Spam and Phishing Detection (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Information Systems (122 citations), Artificial Intelligence (132 citations) and Computer Vision and Pattern Recognition (52 citations). Fethi Fkih has collaborated with scholars based in Tunisia, Saudi Arabia and Pakistan. Frequent co-authors include Mohamed Nazih Omri, Abdulatif Alabdulatif, Tarek Moulahi, Mohammed Alsuhaibani, Ali Mustafa Qamar, Nasir Saleem, Manal Abdullah Alohali, Hela Elmannai and Sami Bourouis. Their work appears in journals such as Scientific Reports, Applied Sciences and Neural Computing and Applications.
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.