Samaneh Mahdavifar

1.0k total citations · 1 hit paper
12 papers, 650 citations indexed

About

Samaneh Mahdavifar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Samaneh Mahdavifar has authored 12 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Samaneh Mahdavifar's work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (6 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Samaneh Mahdavifar is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (6 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Samaneh Mahdavifar collaborates with scholars based in Canada, Malaysia and Iran. Samaneh Mahdavifar's co-authors include Ali A. Ghorbani, Dima Alhadidi, Andi Fitriah Abdul Kadir, Arash Habibi Lashkari, Hassan Mahdikhani, Benjamin C. M. Fung, Philippe Charland, Nasim Maleki, Rongxing Lu and Hui Zhu and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Samaneh Mahdavifar

11 papers receiving 616 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dynamic Android Malware Category Classification using Semi-Supervised Deep Learning

2020 177 citations Samaneh Mahdavifar, Andi Fitriah Abdul Kadir et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Samaneh Mahdavifar Canada	9	474	446	262	248	85	12	650
Junyang Qiu China	11	265 0.6×	270 0.6×	191 0.7×	183 0.7×	63 0.7×	21	463
Yonghwi Kwon United States	16	273 0.6×	324 0.7×	299 1.1×	271 1.1×	110 1.3×	50	591
Rahim Taheri United Kingdom	12	345 0.7×	245 0.5×	265 1.0×	171 0.7×	42 0.5×	28	540
Fabio Di Troia United States	14	656 1.4×	699 1.6×	351 1.3×	387 1.6×	94 1.1×	46	861
Ke Tian United States	10	179 0.4×	279 0.6×	195 0.7×	199 0.8×	78 0.9×	35	443
Igino Corona Italy	11	643 1.4×	579 1.3×	477 1.8×	317 1.3×	68 0.8×	16	834
Hayretdin Bahşi Estonia	13	528 1.1×	378 0.8×	351 1.3×	166 0.7×	47 0.6×	54	688
Daniel Gibert Spain	10	600 1.3×	701 1.6×	412 1.6×	272 1.1×	75 0.9×	20	821
Jin B. Hong Australia	17	671 1.4×	360 0.8×	136 0.5×	551 2.2×	34 0.4×	61	837
Chaoshun Zuo United States	12	225 0.5×	477 1.1×	242 0.9×	334 1.3×	164 1.9×	22	625

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 of co-authors of Samaneh Mahdavifar

This figure shows the co-authorship network connecting the top 25 collaborators of Samaneh Mahdavifar. A scholar is included among the top collaborators of Samaneh Mahdavifar 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 Samaneh Mahdavifar. Samaneh Mahdavifar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Mahdavifar, Samaneh, et al.. (2024). A Comprehensive Analysis of Explainable AI for Malware Hunting. ACM Computing Surveys. 56(12). 1–40. 11 indexed citations

2.

Mahdavifar, Samaneh & Ali A. Ghorbani. (2023). CapsRule: Explainable Deep Learning for Classifying Network Attacks. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12434–12448. 4 indexed citations

3.

Zhang, Xichen, Sajjad Dadkhah, Samaneh Mahdavifar, Rongxing Lu, & Ali A. Ghorbani. (2022). An entity matching-based image topic verification framework for online fact-checking. 4(1). 65–65. 1 indexed citations

4.

Mahdavifar, Samaneh, Dima Alhadidi, & Ali A. Ghorbani. (2021). Effective and Efficient Hybrid Android Malware Classification Using Pseudo-Label Stacked Auto-Encoder. Journal of Network and Systems Management. 30(1). 118 indexed citations

5.

Mahdavifar, Samaneh, et al.. (2021). Classifying Malicious Domains using DNS Traffic Analysis. 60–67. 17 indexed citations

6.

Mahdavifar, Samaneh, et al.. (2021). Lightweight Hybrid Detection of Data Exfiltration using DNS based on Machine Learning. 80–86. 26 indexed citations

7.

Mahdavifar, Samaneh, et al.. (2021). Personalized Privacy-Preserving Publication of Trajectory Data by Generalization and Distortion of Moving Points. Journal of Network and Systems Management. 30(1). 8 indexed citations

8.

Mahdavifar, Samaneh & Ali A. Ghorbani. (2020). DeNNeS: deep embedded neural network expert system for detecting cyber attacks. Neural Computing and Applications. 32(18). 14753–14780. 52 indexed citations

9.

Mahdavifar, Samaneh, et al.. (2020). Dynamic Android Malware Category Classification using Semi-Supervised Deep Learning. 515–522. 177 indexed citations breakdown →

10.

Mahdikhani, Hassan, Samaneh Mahdavifar, Rongxing Lu, Hui Zhu, & Ali A. Ghorbani. (2019). Achieving Privacy-Preserving Subset Aggregation in Fog-Enhanced IoT. IEEE Access. 7. 184438–184447. 11 indexed citations

11.

Mahdavifar, Samaneh & Ali A. Ghorbani. (2019). Application of deep learning to cybersecurity: A survey. Neurocomputing. 347. 149–176. 225 indexed citations

12.

Mahdavifar, Samaneh, et al.. (2009). Automatic Vehicle Location Systems. Zenodo (CERN European Organization for Nuclear Research).

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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