Ehsan Toreini

30 papers receiving 360 citations

Peers

Ehsan Toreini
Comparison fields: 5 of 70
  • Signal Processing 106
  • Health Informatics 9
  • Information Systems 157
  • Human-Computer Interaction 37
  • Artificial Intelligence 133
Replace Maryam Mehrnezhad with:
Maryam Mehrnezhad United Kingdom
Shoshana Loeb United States
Angela Sasse United Kingdom
Rubia Fatima China
Hyunji Chung South Korea
Fakhroddin Noorbehbahani Iran
Traian Rebedea Romania
Marcelo Medeiros Eler Brazil
Seongjin Ahn South Korea
Robert Thomson United States
Ehsan Toreini relative to Maryam Mehrnezhad United Kingdom Maryam Mehrnezhad's profile →
Citations per field
00.5×12×
Maryam Mehrnezhad · 1×
Citations per year

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-authors

The 24 scholars most cited alongside Ehsan Toreini, 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 Ehsan Toreini Line = papers co-authored together Ehsan Toreini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202046
2 201741
3 202036
4 202230
5 201630
6 202225
7 201422
8 202116
9 202114
10 201711
11 201911
12 201610
13 201110
14 20219
15
An Acoustic Side Channel Attack on Enigma
20157
16 20196
17 20156
18
On the Privacy of Private Browsing - A Forensic Approach
20135
19 20234
20
Multiple SEIMCHA: Multiple semantic image CAPTCHA
20114

About Ehsan Toreini

Ehsan Toreini is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 370 indexed citations. Recurring topics across this work include User Authentication and Security Systems (9 papers), Advanced Malware Detection Techniques (9 papers), Privacy, Security, and Data Protection (8 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Digital Media Forensic Detection (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Artificial Immune Systems Applications (2 papers). The work is most often cited by research in Signal Processing (106 citations), Health Informatics (9 citations), Information Systems (157 citations), Human-Computer Interaction (37 citations) and Artificial Intelligence (133 citations). Ehsan Toreini has collaborated with scholars based in United Kingdom, Iran and Portugal. Frequent co-authors include Maryam Mehrnezhad, Feng Hao, Siamak F. Shahandashti, Kovila Coopamootoo, Aad van Moorsel, Teresa Almeida, Mhairi Aitken, Magdalene Ng, Karen Elliot and Matthew Forshaw. Their work appears in journals such as International Journal of Information Security, Journal of Information Security and Applications, Informatics, ACM Transactions on Privacy and Security and Big Data & Society.

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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