Refik Samet

75 papers receiving 1.1k citations

Refik Samet's Hit Papers

A Comprehensive Review on Malware Detection Approaches 2020 · 442 citations
4420+2+4Years since publication100200300400

Peers

Refik Samet
Comparison fields: 5 of 67
  • Signal Processing 400
  • Computer Networks and Communications 241
  • Computer Vision and Pattern Recognition 179
  • Artificial Intelligence 183
  • Software 20
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Jae‐Woo Chang South Korea
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Jingping Bi China
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Countries citing papers authored by Refik Samet

Since Specialization
Citations

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

Fields of papers citing papers by Refik Samet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Refik Samet, 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 Refik Samet Line = papers co-authored together Refik Samet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Comprehensive Review on Malware Detection Approaches
Hit paper breakdown →
2020442
2 2021101
3 201763
4 202349
5 201742
6 201230
7 201927
8 202019
9 201218
10 202318
11 202117
12 201715
13 201713
14 202213
15 201112
16 201712
17 202312
18 201311
19
USING FUZZY SETS FOR FILTERING TOPOGRAPHIC MAP IMAGES
20089
20
AN IMPLEMENTATION OF AUTOMATIC CONTOUR LINE EXTRACTION FROM SCANNED DIGITAL TOPOGRAPHIC MAPS
20109

About Refik Samet

Refik Samet is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Ocean Engineering and Signal Processing, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Network Security and Intrusion Detection (8 papers), Geophysical Methods and Applications (6 papers), Distributed systems and fault tolerance (5 papers), Advanced Malware Detection Techniques (5 papers), Automated Road and Building Extraction (4 papers), Face recognition and analysis (4 papers) and Handwritten Text Recognition Techniques (4 papers). The work is most often cited by research in Signal Processing (400 citations), Computer Networks and Communications (241 citations), Computer Vision and Pattern Recognition (179 citations), Artificial Intelligence (183 citations) and Software (20 citations). Refik Samet has collaborated with scholars based in Türkiye, New Zealand and Azerbaijan. Frequent co-authors include Ömer Aslan, Merve Ozkan-Okay, Emrah Hançer, Deepti Gupta, Vitaliy Mezhuyev, Abdulaziz A. Alsulami, Badraddin Alturki, Qasem S. Abu Al-Haija, Ali Alqahtani and Şahin Emrah Amrahov. Their work appears in journals such as IEEE Access, Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, Applied Sciences, Quality and Reliability Engineering International and Biomedical Signal Processing and Control.

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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