Parvez Faruki

31 papers receiving 1.3k citations

Parvez Faruki's Hit Papers

Network Intrusion Detection for IoT Security Based on Learning Techniques 2019 · 627 citations
6270+4+8Years since publication200400600

Peers

Parvez Faruki
Comparison fields: 5 of 56
  • Signal Processing 957
  • Software 236
  • Computer Networks and Communications 1.1k
  • Information Systems 514
  • Artificial Intelligence 509
Replace BooJoong Kang with:
BooJoong Kang South Korea
Tao Ban Japan
Daisuke Inoue Japan
Sedat Akleylek Türkiye
Martín Ochoa Singapore
Antonio Bianchi United States
Arun Lakhotia United States
Sakir Sezer United Kingdom
Andrii Shalaginov Norway
Hamed Okhravi United States
Parvez Faruki relative to BooJoong Kang South Korea BooJoong Kang's profile →
Citations per field
00.5×2.5×
BooJoong Kang · 1×
Citations per year

Countries citing papers authored by Parvez Faruki

Since Specialization
Citations

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

Fields of papers citing papers by Parvez Faruki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Network Intrusion Detection for IoT Security Based on Learning Techniques
Hit paper breakdown →
2019627
2
Android Security: A Survey of Issues, Malware Penetration, and Defenses
Hit paper breakdown →
2014371
3 201393
4 201461
5 201229
6 202227
7 201425
8 202318
9 202317
10 202014
11 201314
12 201312
13 202211
14 201610
15 201710
16 20209
17 20129
18 20228
19 20137
20 20166

About Parvez Faruki

Parvez Faruki is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Software, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (21 papers), Network Security and Intrusion Detection (17 papers), Software Testing and Debugging Techniques (7 papers), Digital and Cyber Forensics (7 papers), Security and Verification in Computing (6 papers), Cryptography and Data Security (3 papers), Cloud Data Security Solutions (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Signal Processing (957 citations), Software (236 citations), Computer Networks and Communications (1.1k citations), Information Systems (514 citations) and Artificial Intelligence (509 citations). Parvez Faruki has collaborated with scholars based in India, Italy and France. Frequent co-authors include Akka Zemmari, Mohamed Mosbah, Vijay Laxmi, Manoj Singh Gaur, Mauro Conti, Muttukrishnan Rajarajan, P. Vinod, Rajendra Pamula, Arka Prokash Mazumdar and Mahesh Chandra Govil. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Scientific Reports, Sustainable Computing Informatics and Systems, Computer Communications and IEEE Access.

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.

Explore authors with similar magnitude of impact