Ali Kartit

813 citations
55 papers · 407 · h-index 12

Impact in

Papers in

Ali Kartit

42 papers receiving 369 citations

Peers

Ali Kartit
Comparison fields: 5 of 76
  • Health Informatics 10
  • Information Systems 117
  • Computer Networks and Communications 116
  • Health Information Management 17
  • Computer Vision and Pattern Recognition 81
Replace Priyadarshini Patil with:
Priyadarshini Patil India
Abhishek Raghuvanshi India
Balasubramanian Prabhu Kavin India
Hamoud Alshammari Saudi Arabia
Fahd S. Alharithi Saudi Arabia
Roheet Bhatnagar India
T Devi. India
Suresh Kallam India
G. Sambasivam India
Kalyan Kumar Jena India
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Citations per field
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Priyadarshini Patil · 1×
Citations per year

Countries citing papers authored by Ali Kartit

Since Specialization
Citations

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

Fields of papers citing papers by Ali Kartit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Ali Kartit, 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 Ali Kartit Line = papers co-authored together Ali Kartit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201852
2 202135
3 202233
4 202130
5 202326
6 201722
7
Diabetic Retinopathy Classification Using ResNet50 and VGG-16 Pretrained Networks
202119
8
A NEW APPROACH TO INTRUSION DETECTION SYSTEM
201217
9 201514
10 201612
11 201812
12 201311
13 202311
14 20229
15 20169
16 20178
17 20188
18 20168
19 20236
20 20165

About Ali Kartit

Ali Kartit is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 55 papers that have together received 407 indexed citations. Recurring topics across this work include Cloud Data Security Solutions (18 papers), Cryptography and Data Security (11 papers), Blockchain Technology Applications and Security (11 papers), Network Security and Intrusion Detection (10 papers), IoT and Edge/Fog Computing (8 papers), Advanced Steganography and Watermarking Techniques (6 papers), Smart Agriculture and AI (6 papers) and Corneal surgery and disorders (5 papers). The work is most often cited by research in Health Informatics (10 citations), Information Systems (117 citations), Computer Networks and Communications (116 citations), Health Information Management (17 citations) and Computer Vision and Pattern Recognition (81 citations). Ali Kartit has collaborated with scholars based in Morocco, Spain and Mexico. Frequent co-authors include Hassan Ouahmane, Mohamed Lachgar, Hamid Hrimech, Ahmed Hammouch, Tarik Agouti, Keshav Kaushik, Amitava Choudhury, Driss Aboutajdine, Mohamed Hanine and Mariya Ouaissa. Their work appears in journals such as Applied Network Science, SoftwareX, Sensors, Artificial Intelligence in Agriculture and International Journal of Online and Biomedical Engineering (iJOE).

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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