Ehsan Toreini

680 total citations
31 papers, 349 citations indexed

About

Ehsan Toreini is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ehsan Toreini has authored 31 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 12 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in Ehsan Toreini's work include User Authentication and Security Systems (9 papers), Advanced Malware Detection Techniques (9 papers) and Privacy, Security, and Data Protection (8 papers). Ehsan Toreini is often cited by papers focused on User Authentication and Security Systems (9 papers), Advanced Malware Detection Techniques (9 papers) and Privacy, Security, and Data Protection (8 papers). Ehsan Toreini collaborates with scholars based in United Kingdom, Iran and Portugal. Ehsan Toreini's co-authors include Maryam Mehrnezhad, Feng Hao, Siamak F. Shahandashti, Kovila Coopamootoo, Aad van Moorsel, Mhairi Aitken, Teresa Almeida, Magdalene Ng, Matthew Forshaw and Karen Elliott and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Forensics and Security and IEEE Security & Privacy.

In The Last Decade

Ehsan Toreini

30 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehsan Toreini United Kingdom 11 154 130 107 104 42 31 349
Maryam Mehrnezhad United Kingdom 12 147 1.0× 100 0.8× 137 1.3× 86 0.8× 50 1.2× 33 352
Joshua Tan United States 9 119 0.8× 62 0.5× 136 1.3× 57 0.5× 24 0.6× 16 302
Chris Lewis United States 11 203 1.3× 139 1.1× 178 1.7× 46 0.4× 69 1.6× 19 482
Shrirang Mare United States 12 250 1.6× 79 0.6× 188 1.8× 117 1.1× 98 2.3× 34 507
Henning Kopp Germany 6 95 0.6× 69 0.5× 124 1.2× 32 0.3× 41 1.0× 9 266
Hazim Almuhimedi United States 6 222 1.4× 129 1.0× 298 2.8× 129 1.2× 40 1.0× 8 452
Christopher Riederer United States 9 87 0.6× 185 1.4× 162 1.5× 21 0.2× 33 0.8× 10 396
Madiha Tabassum United States 9 94 0.6× 76 0.6× 117 1.1× 45 0.4× 61 1.5× 12 278
Pardis Emami-Naeini United States 9 99 0.6× 98 0.8× 262 2.4× 35 0.3× 28 0.7× 14 379
Chuan Yue United States 11 179 1.2× 166 1.3× 117 1.1× 106 1.0× 86 2.0× 40 379

Countries citing papers authored by Ehsan Toreini

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Toreini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Toreini

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

All Works

20 of 20 papers shown
1.
Mehrnezhad, Maryam, et al.. (2025). Measuring Online Hate on 4chan Using Pre-Trained Deep Learning Models. ArXiv.org. 6(2). 200–209.
2.
Cook, Stephen L., Maryam Mehrnezhad, & Ehsan Toreini. (2024). Bluetooth security analysis of general and intimate health IoT devices and apps: the case of FemTech. International Journal of Information Security. 23(6). 3547–3567. 1 indexed citations
3.
Clarke, J, Maryam Mehrnezhad, & Ehsan Toreini. (2024). Invisible, Unreadable, and Inaudible Cookie Notices: An Evaluation of Cookie Notices for Users with Visual Impairments. ACM Transactions on Accessible Computing. 17(1). 1–39. 3 indexed citations
4.
Toreini, Ehsan, Maryam Mehrnezhad, & Aad van Moorsel. (2023). Fairness as a Service (FaaS): verifiable and privacy-preserving fairness auditing of machine learning systems. International Journal of Information Security. 23(2). 981–997. 2 indexed citations
5.
Mehrnezhad, Maryam, et al.. (2022). Vision: Too Little too Late? Do the Risks of FemTech already Outweigh the Benefits?. DiVA at Umeå University (Umeå University). 145–150. 22 indexed citations
6.
Almeida, Teresa, et al.. (2022). Bodies Like Yours: Enquiring Data Privacy in FemTech. 1–5. 25 indexed citations
7.
Toreini, Ehsan, et al.. (2021). Anti-Counterfeiting for Polymer Banknotes Based on Polymer Substrate Fingerprinting. IEEE Transactions on Information Forensics and Security. 16. 2823–2835. 8 indexed citations
8.
Mehrnezhad, Maryam, Kovila Coopamootoo, & Ehsan Toreini. (2021). How Can and Would People Protect From Online Tracking?. SHILAP Revista de lepidopterología. 2022(1). 105–125. 16 indexed citations
9.
Hao, Feng, Samiran Bag, Rob Procter, et al.. (2020). End-to-End Verifiable E-Voting Trial for Polling Station Voting. IEEE Security & Privacy. 18(6). 6–13. 3 indexed citations
10.
Toreini, Ehsan, Siamak F. Shahandashti, Maryam Mehrnezhad, & Feng Hao. (2019). DOMtegrity: ensuring web page integrity against malicious browser extensions. International Journal of Information Security. 18(6). 801–814. 6 indexed citations
11.
Mehrnezhad, Maryam, Ehsan Toreini, Siamak F. Shahandashti, & Feng Hao. (2017). Stealing PINs via mobile sensors: actual risk versus user perception. International Journal of Information Security. 17(3). 291–313. 40 indexed citations
12.
McCorry, Patrick, Ehsan Toreini, & Maryam Mehrnezhad. (2016). Removing Trusted Tallying Authorities. Durham Research Online (Durham University). 2 indexed citations
13.
Mehrnezhad, Maryam, Ehsan Toreini, Siamak F. Shahandashti, & Feng Hao. (2016). Stealing PINs via Mobile Sensors: Actual Risk versus User Perception. 10 indexed citations
14.
Mehrnezhad, Maryam, Abbas Ghaemi Bafghi, Ahad Harati, & Ehsan Toreini. (2016). PiSHi: click the images and I tell if you are a human. International Journal of Information Security. 16(2). 133–149. 4 indexed citations
15.
Toreini, Ehsan, Brian Randell, & Hao Feng. (2015). An Acoustic Side Channel Attack on Enigma. Durham Research Online (Durham University). 7 indexed citations
16.
Forshaw, Matthew, et al.. (2013). On the Privacy of Private Browsing - A Forensic Approach. Durham Research Online (Durham University). 5 indexed citations
17.
Bafghi, Abbas Ghaemi, et al.. (2012). SEIMCHA: A New Semantic Image CAPTCHA Using Geometric Transformations. 4(1). 63–76. 3 indexed citations
18.
Bafghi, Abbas Ghaemi, et al.. (2011). Multiple SEIMCHA: Multiple semantic image CAPTCHA. International Conference for Internet Technology and Secured Transactions. 196–201. 4 indexed citations
19.
Toreini, Ehsan, et al.. (2011). A novel method in fuzzy data clustering based on chaotic PSO. International Conference for Internet Technology and Secured Transactions. 335–340. 2 indexed citations
20.
Neamatollahi, Peyman, Hoda Taheri, Ehsan Toreini, Mahmoud Naghibzadeh, & Mohammad Hossein Yaghmaee. (2011). A novel fuzzy metric to evaluate clusters for prolonging lifetime in wireless sensor networks. 118–123. 10 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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