Farkhund Iqbal
Impact in
- Signal Processing top 1%
- Advanced Malware Detection Techniques
- Information Systems top 0.5%
- Digital and Cyber Forensics
- Spam and Phishing Detection
Papers in
-
- Digital and Cyber Forensics 38
- Spam and Phishing Detection 17
- User Authentication and Security Systems 10
-
- Privacy-Preserving Technologies in Data 12
- Authorship Attribution and Profiling 12
- Co-authors
- Benjamin C. M. Fung (27 shared papers)Mourad Debbabi (11 shared papers)Babar Shah (14 shared papers)Trevor Michael Braun (1 shared paper)Patrick C. K. Hung (23 shared papers)Neil D. B. Bruce (2 shared papers)Yang Wang (2 shared papers)Noman Mohammed (2 shared papers)
- Journals
- Digital Investigation (7 papers)IEEE Access (7 papers)Forensic Science International Digital Investigation (4 papers)Information Sciences (2 papers)Computers & Security (2 papers)
- Partner nations
- United Arab EmiratesCanadaPakistan
In The Last Decade
Farkhund Iqbal
125 papers receiving 2.3k citations
Farkhund Iqbal's Hit Papers
Peers
Comparison fields: 5 of 123
- Signal Processing 703
- Information Systems 984
- Artificial Intelligence 1.1k
- Computer Networks and Communications 698
- Health Informatics 23
Countries citing papers authored by Farkhund Iqbal
This map shows the geographic impact of Farkhund Iqbal'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 Farkhund Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farkhund Iqbal more than expected).
Fields of papers citing papers by Farkhund Iqbal
This network shows the impact of papers produced by Farkhund Iqbal. 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 Farkhund Iqbal. The network helps show where Farkhund Iqbal may publish in the future.
Co-authors
The 25 scholars most cited alongside Farkhund Iqbal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Malware Classification with Deep Convolutional Neural Networks Hit paper breakdown → | 2018 | 264 |
| 2 | 2018 | 221 | |
| 3 | 2022 | 107 | |
| 4 | 2010 | 99 | |
| 5 | 2019 | 98 | |
| 6 | 2008 | 81 | |
| 7 | 2011 | 66 | |
| 8 | 2019 | 62 | |
| 9 | 2019 | 56 | |
| 10 | 2009 | 55 | |
| 11 | 2019 | 55 | |
| 12 | 2010 | 46 | |
| 13 | 2022 | 37 | |
| 14 | 2018 | 35 | |
| 15 | 2020 | 32 | |
| 16 | 2017 | 32 | |
| 17 | 2018 | 31 | |
| 18 | 2022 | 30 | |
| 19 | 2023 | 29 | |
| 20 | 2019 | 29 |
About Farkhund Iqbal
Farkhund Iqbal is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 135 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (41 papers), Digital and Cyber Forensics (38 papers), Spam and Phishing Detection (17 papers), Digital Media Forensic Detection (16 papers), Network Security and Intrusion Detection (16 papers), Privacy-Preserving Technologies in Data (12 papers), Authorship Attribution and Profiling (12 papers) and User Authentication and Security Systems (10 papers). The work is most often cited by research in Signal Processing (703 citations), Information Systems (984 citations), Artificial Intelligence (1.1k citations), Computer Networks and Communications (698 citations) and Health Informatics (23 citations). Farkhund Iqbal has collaborated with scholars based in United Arab Emirates, Canada and Pakistan. Frequent co-authors include Benjamin C. M. Fung, Mourad Debbabi, Babar Shah, Trevor Michael Braun, Patrick C. K. Hung, Neil D. B. Bruce, Yang Wang, Noman Mohammed, Mrigank Rochan and Mahmoud Kalash. Their work appears in journals such as Digital Investigation, IEEE Access, Forensic Science International Digital Investigation, Information Sciences and Computers & Security.
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.