Omar Batarfi

490 citations
28 papers · 262 · h-index 8

Impact in

Papers in

Omar Batarfi

24 papers receiving 238 citations

Peers

Omar Batarfi
Comparison fields: 5 of 47
  • Signal Processing 103
  • Information Systems 163
  • Computer Networks and Communications 134
  • Artificial Intelligence 95
  • Computer Vision and Pattern Recognition 52
Replace Abbas Ghaemi Bafghi with:
Abbas Ghaemi Bafghi Iran
Chen Zhong United States
Elisa Costante Netherlands
Haitao Xu China
Ohm Sornil Thailand
Ingo Brunkhorst Germany
Özgü Can Türkiye
Jörg Diederich Germany
D. Recordon
Giovanni Cozzolino Italy
Omar Batarfi relative to Abbas Ghaemi Bafghi Iran Abbas Ghaemi Bafghi's profile →
Citations per field
00.5×
Abbas Ghaemi Bafghi · 1×
Citations per year

Countries citing papers authored by Omar Batarfi

Since Specialization
Citations

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

Fields of papers citing papers by Omar Batarfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Omar Batarfi, 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 Omar Batarfi Line = papers co-authored together Omar Batarfi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201548
2
Phishing Websites Detection based on Phishing Characteristics in the Webpage Source Code
201136
3 201635
4 202227
5 201617
6 201915
7 20148
8 20158
9 20237
10 20177
11 20177
12 20186
13 20156
14 20196
15 20235
16 20145
17 20154
18
Building A Sentiment Analysis Corpus With Multifaceted Hierarchical Annotation
20154
19 20153
20 20063

About Omar Batarfi

Omar Batarfi is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 262 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (9 papers), Cloud Computing and Resource Management (8 papers), Graph Theory and Algorithms (7 papers), Advanced Graph Neural Networks (4 papers), Spam and Phishing Detection (4 papers), Digital and Cyber Forensics (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (103 citations), Information Systems (163 citations), Computer Networks and Communications (134 citations), Artificial Intelligence (95 citations) and Computer Vision and Pattern Recognition (52 citations). Omar Batarfi has collaborated with scholars based in Saudi Arabia, Australia and United Kingdom. Frequent co-authors include Ahmed Barnawi, Sherif Sakr, Abdulrahman Altalhi, Fuad Bajaber, Radwa Elshawi, Ayman G. Fayoumi, Reza Nouri, Radwa El Shawi, Lindsay Marshall and Fathy Eassa. Their work appears in journals such as Journal of Grid Computing, SpringerPlus, Computer Communications, IEEE Access and Cluster Computing.

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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