Mojtaba Eskandari

671 total citations · 1 hit paper
12 papers, 485 citations indexed

About

Mojtaba Eskandari is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Mojtaba Eskandari has authored 12 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Signal Processing and 6 papers in Information Systems. Recurrent topics in Mojtaba Eskandari's work include Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (7 papers) and Spam and Phishing Detection (4 papers). Mojtaba Eskandari is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (7 papers) and Spam and Phishing Detection (4 papers). Mojtaba Eskandari collaborates with scholars based in Iran, Italy and Canada. Mojtaba Eskandari's co-authors include Zaffar Haider Janjua, Massimo Vecchio, Fabio Antonelli, Sattar Hashemi, Michael D. Naish, B. Benhabib, Bruno Crispo, Elizabeth A. Croft and Anderson Santana de Oliveira and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Internet of Things Journal and Journal of Visual Languages & Computing.

In The Last Decade

Mojtaba Eskandari

12 papers receiving 458 citations

Hit 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.

Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices

2020 278 citations Mojtaba Eskandari, Zaffar Haider Janjua et al. IEEE Internet of Things Journal profile →

Peers

Mojtaba Eskandari

CNC

SP

AI

IS

CSE

Eduardo K. Viegas Brazil

Ke He China

Ke Tian United States

Kriti Bhushan India

Youngsoo Kim South Korea

Nora Cuppens France

Rahim Taheri United Kingdom

Jevgenijus Toldinas Lithuania

Muhammad Hanif Durad Pakistan

Ahmet Arış United States

Eduardo K. Viegas Brazil

Mojtaba Eskandari

458 ×1.1

CNC

289 ×0.9

SP

355 ×1.5

AI

92 ×0.9

IS

61 ×1.2

CSE

Citations per year, relative to Mojtaba Eskandari Mojtaba Eskandari (= 1×) peers Eduardo K. Viegas

Countries citing papers authored by Mojtaba Eskandari

Since Specialization

Citations

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

Fields of papers citing papers by Mojtaba Eskandari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mojtaba Eskandari

This figure shows the co-authorship network connecting the top 25 collaborators of Mojtaba Eskandari. A scholar is included among the top collaborators of Mojtaba Eskandari 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 Mojtaba Eskandari. Mojtaba Eskandari 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.

Eskandari, Mojtaba, Zaffar Haider Janjua, Massimo Vecchio, & Fabio Antonelli. (2020). Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices. IEEE Internet of Things Journal. 7(8). 6882–6897. 278 indexed citations breakdown →

2.

Eskandari, Mojtaba, et al.. (2016). Requirements of a New Substation based Protective Relay Coordination. International Journal of Applied Mathematics Electronics and Computers. 4(1). 17–17. 1 indexed citations

3.

Eskandari, Mojtaba, et al.. (2016). Analyzing Remote Server Locations for Personal Data Transfers in Mobile Apps. SHILAP Revista de lepidopterología. 2017(1). 118–131. 8 indexed citations

4.

Eskandari, Mojtaba, et al.. (2014). Frequent sub‐graph mining for intelligent malware detection. Security and Communication Networks. 7(11). 1872–1886. 13 indexed citations

5.

Eskandari, Mojtaba, Anderson Santana de Oliveira, & Bruno Crispo. (2014). VLOC: An Approach to Verify the Physical Location of a Virtual Machine In Cloud. Institutional Research Information System (Università degli Studi di Trento). 86–94. 12 indexed citations

6.

Eskandari, Mojtaba, et al.. (2013). HDM-Analyser: a hybrid analysis approach based on data mining techniques for malware detection. Journal of Computer Virology and Hacking Techniques. 9(2). 77–93. 43 indexed citations

7.

Eskandari, Mojtaba & Sattar Hashemi. (2012). ECFGM: enriched control flow graph miner for unknown vicious infected code detection. 8(3). 99–108. 11 indexed citations

8.

Eskandari, Mojtaba & Sattar Hashemi. (2012). A graph mining approach for detecting unknown malwares. Journal of Visual Languages & Computing. 23(3). 154–162. 48 indexed citations

9.

Eskandari, Mojtaba, et al.. (2012). To Incorporate Sequential Dynamic Features in Malware Detection Engines. 17 indexed citations

10.

Eskandari, Mojtaba & Sattar Hashemi. (2011). Metamorphic Malware Detection using Control Flow Graph Mining. 19 indexed citations

11.

Naish, Michael D., et al.. (2006). Active-vision-based multisensor surveillance - an implementation. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 36(5). 668–680. 30 indexed citations

12.

Eskandari, Mojtaba, et al.. (2004). A multi-sensor surveillance system for active-vision based object localization. 1. 1013–1018. 5 indexed citations

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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