Sajjad Dadkhah
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Co-authors
- Ali A. GhorbaniEuclides Carlos Pinto NetoRongxing LuSomayeh SadeghiPulei XiongSuprio RayHassan MahdikhaniFarzaneh Shoeleh
- Topics
- Network Security and Intrusion Detection (20 papers)Advanced Malware Detection Techniques (20 papers)Internet Traffic Analysis and Secure E-voting (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsIEEE Internet of Things Journal
In The Last Decade
Sajjad Dadkhah
42 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 740
- Artificial Intelligence 539
- Signal Processing 413
- Computer Vision and Pattern Recognition 248
- Information Systems 210
Countries citing papers authored by Sajjad Dadkhah
This map shows the geographic impact of Sajjad Dadkhah'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 Sajjad Dadkhah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajjad Dadkhah more than expected).
Fields of papers citing papers by Sajjad Dadkhah
This network shows the impact of papers produced by Sajjad Dadkhah. 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 Sajjad Dadkhah. The network helps show where Sajjad Dadkhah may publish in the future.
Co-authorship network of co-authors of Sajjad Dadkhah
This figure shows the co-authorship network connecting the top 25 collaborators of Sajjad Dadkhah. A scholar is included among the top collaborators of Sajjad Dadkhah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sajjad Dadkhah. Sajjad Dadkhah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | CICIoMT2024: A benchmark dataset for multi-protocol security assessment in IoMTbreakdown → | 47 |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 29 | |
| 6 | 85 | |
| 7 | 7 | |
| 8 | CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environmentbreakdown → | 329 |
| 9 | 10 | |
| 10 | Internet of Things (IoT) security dataset evolution: Challenges and future directionsbreakdown → | 100 |
| 11 | 91 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 44 | |
| 15 | 16 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 16 | |
| 19 | 97 | |
| 20 | 2 |
About Sajjad Dadkhah
Sajjad Dadkhah is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (20 papers), Advanced Malware Detection Techniques (20 papers) and Internet Traffic Analysis and Secure E-voting (9 papers). The work is most often cited by research in Signal Processing (413 citations), Computer Networks and Communications (740 citations) and Artificial Intelligence (539 citations). Sajjad Dadkhah has collaborated with scholars based in Canada, Malaysia and Japan. Frequent co-authors include Ali A. Ghorbani, Euclides Carlos Pinto Neto, Rongxing Lu, Somayeh Sadeghi, Pulei Xiong, Ali A. Ghorbani, Suprio Ray, Hassan Mahdikhani, Farzaneh Shoeleh and Heather Molyneaux. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Internet of Things Journal.
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.