Fathe Jeribi

692 citations
36 papers · 367 · h-index 11

Impact in

Papers in

Fathe Jeribi

31 papers receiving 359 citations

Peers

Fathe Jeribi
Comparison fields: 5 of 90
  • Neurology 45
  • Health Information Management 24
  • Analytical Chemistry 35
  • Computer Vision and Pattern Recognition 50
  • Artificial Intelligence 78
Replace R.C. Suganthe with:
R.C. Suganthe India
Aasia Khanum Pakistan
Md Babul Islam Italy
G. R. Sreekanth India
Fathimathul Rajeena P. P. Saudi Arabia
M. Rudra Kumar India
Labiba Gillani Fahad Pakistan
R.S. Latha India
K. Aditya Shastry India
Tarun Gulati India
Fathe Jeribi relative to R.C. Suganthe India R.C. Suganthe's profile →
Citations per field
00.5×5.5×
R.C. Suganthe · 1×
Citations per year

Countries citing papers authored by Fathe Jeribi

Since Specialization
Citations

This map shows the geographic impact of Fathe Jeribi'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 Fathe Jeribi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fathe Jeribi more than expected).

Fields of papers citing papers by Fathe Jeribi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fathe Jeribi. 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 Fathe Jeribi. The network helps show where Fathe Jeribi may publish in the future.

Co-authors

The 25 scholars most cited alongside Fathe Jeribi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fathe Jeribi Line = papers co-authored together Fathe Jeribi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202282
2 202357
3 202328
4 202126
5 202223
6 202020
7 202413
8 202413
9 202412
10 202112
11 202010
12 20229
13 20248
14 20207
15 20257
16 20257
17 20226
18
An Approach To Weigh Cybersecurity Awareness Questions In Academic Institutions Based On Principle Component Analysis: A Case Study Of Saudi Arabia
20214
19 20244
20 20243

About Fathe Jeribi

Fathe Jeribi is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Plant Science and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 367 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), IoT and Edge/Fog Computing (4 papers), Network Security and Intrusion Detection (4 papers), Artificial Intelligence in Healthcare (3 papers), Digital Imaging for Blood Diseases (2 papers), Blockchain Technology Applications and Security (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Neurology (45 citations), Health Information Management (24 citations), Analytical Chemistry (35 citations), Computer Vision and Pattern Recognition (50 citations) and Artificial Intelligence (78 citations). Fathe Jeribi has collaborated with scholars based in Saudi Arabia, India and Pakistan. Frequent co-authors include Ali Tahir, Ali Javed, Marriam Nawaz, Tahira Nazir, Mohammad Hijji, Mohammed M. Alwakeel, Ahmed M. Alwakeel, Shadab Alam, Usman Masud and Mohammed Shuaib. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), PLoS ONE, Frontiers in Public Health and Sustainability.

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.

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