Samaneh Mahdavifar

1.0k citations
12 papers · 650 indexed · 1 hit paper · h-index 9

Samaneh Mahdavifar

11 papers receiving 616 citations

Hit Papers

Dynamic Android Malware Category Classification using Sem...177202020262022202450100150

Peers

Samaneh Mahdavifar
Comparison fields: 5 of 59
  • Signal Processing 446
  • Software 85
  • Computer Networks and Communications 474
  • Information Systems 248
  • Artificial Intelligence 262
Replace Daniel Gibert with:
Daniel Gibert Spain
Jin B. Hong Australia
Fabio Di Troia United States
Ke Tian United States
Chaoshun Zuo United States
Junyang Qiu China
Hayretdin Bahşi Estonia
Abbas Rasoolzadegan Iran
Yonghwi Kwon United States
Igino Corona Italy
Samaneh Mahdavifar relative to Daniel Gibert Spain Daniel Gibert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Samaneh Mahdavifar

Since Specialization
Citations

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

Fields of papers citing papers by Samaneh Mahdavifar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside Samaneh Mahdavifar, 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 Samaneh Mahdavifar Line = papers co-authored together Samaneh Mahdavifar links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202411
2 20234
3 20221
4 2021118
5 202117
6 202126
7 20218
8 202052
9
Dynamic Android Malware Category Classification using Semi-Supervised Deep Learningbreakdown →
2020177
10 201911
11 2019225
12 20090

About Samaneh Mahdavifar

Samaneh Mahdavifar is a scholar working on Signal Processing, Software and Computer Networks and Communications, having authored 12 papers that have together received 650 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (6 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Anomaly Detection Techniques and Applications (3 papers), Privacy-Preserving Technologies in Data (2 papers), Software Testing and Debugging Techniques (2 papers), IoT and Edge/Fog Computing (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Signal Processing (446 citations), Software (85 citations) and Computer Networks and Communications (474 citations). Samaneh Mahdavifar has collaborated with scholars based in Canada, Malaysia and Iran. Frequent co-authors include Ali A. Ghorbani, Dima Alhadidi, Andi Fitriah Abdul Kadir, Arash Habibi Lashkari, Hassan Mahdikhani, Benjamin C. M. Fung, Nasim Maleki, Philippe Charland, Rongxing Lu and Hui Zhu. Their work appears in journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Neural Networks and Learning Systems.

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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