Mohammad Tahaei

614 total citations
18 papers, 326 citations indexed

About

Mohammad Tahaei is a scholar working on Sociology and Political Science, Information Systems and Signal Processing. According to data from OpenAlex, Mohammad Tahaei has authored 18 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 7 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Mohammad Tahaei's work include Privacy, Security, and Data Protection (9 papers), Information and Cyber Security (6 papers) and Software Engineering Research (4 papers). Mohammad Tahaei is often cited by papers focused on Privacy, Security, and Data Protection (9 papers), Information and Cyber Security (6 papers) and Software Engineering Research (4 papers). Mohammad Tahaei collaborates with scholars based in United Kingdom, United States and Canada. Mohammad Tahaei's co-authors include Kami Vaniea, Alisa Frik, Naomi Saphra, Tianshi Li, Awais Rashid, Marios Constantinides, Daniele Quercia, Maria Wolters, Konstantin Beznosov and Jason Hong and has published in prestigious journals such as IEEE Security & Privacy, Proceedings of the ACM on Human-Computer Interaction and Edinburgh Research Explorer.

In The Last Decade

Mohammad Tahaei

17 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Tahaei United Kingdom 10 181 162 72 56 47 18 326
Amit Elazari Bar On United States 6 167 0.9× 91 0.6× 99 1.4× 94 1.7× 28 0.6× 8 313
Christine Utz Germany 6 231 1.3× 105 0.6× 106 1.5× 30 0.5× 24 0.5× 13 333
Oshrat Ayalon Israel 8 226 1.2× 106 0.7× 90 1.3× 28 0.5× 28 0.6× 17 295
Sarah Pearman United States 8 191 1.1× 158 1.0× 67 0.9× 75 1.3× 18 0.4× 9 289
Daniel Smullen United States 9 249 1.4× 140 0.9× 145 2.0× 52 0.9× 27 0.6× 11 317
Pardis Emami-Naeini United States 9 262 1.4× 99 0.6× 98 1.4× 35 0.6× 62 1.3× 14 379
Maryam Mehrnezhad United Kingdom 12 137 0.8× 147 0.9× 100 1.4× 86 1.5× 13 0.3× 33 352
Sofia Sherman Israel 9 120 0.7× 135 0.8× 68 0.9× 23 0.4× 22 0.5× 27 271
Camille Cobb United States 9 176 1.0× 116 0.7× 42 0.6× 28 0.5× 27 0.6× 16 284
Hazim Almuhimedi United States 6 298 1.6× 222 1.4× 129 1.8× 129 2.3× 30 0.6× 8 452

Countries citing papers authored by Mohammad Tahaei

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Tahaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Tahaei

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

All Works

18 of 18 papers shown
1.
Constantinides, Marios, Mohammad Tahaei, Daniele Quercia, et al.. (2024). Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–4. 6 indexed citations
2.
Tahaei, Mohammad, Daricia Wilkinson, Alisa Frik, et al.. (2024). Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 1416–1433. 1 indexed citations
3.
Tahaei, Mohammad, et al.. (2024). Community Security Champions: Studying the Most Influential Users on Security Stack Exchange. Bristol Research (University of Bristol). 93–104.
4.
Constantinides, Marios, et al.. (2024). RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW2). 1–28. 7 indexed citations
5.
Constantinides, Marios, et al.. (2023). WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?. arXiv (Cornell University). 160–171. 16 indexed citations
6.
Tahaei, Mohammad, et al.. (2022). Charting App Developers’ Journey Through Privacy Regulation Features in Ad Networks. Proceedings on Privacy Enhancing Technologies. 2022(3). 33–56. 13 indexed citations
7.
Tahaei, Mohammad, Kami Vaniea, & Awais Rashid. (2022). Embedding Privacy Into Design Through Software Developers: Challenges and Solutions. IEEE Security & Privacy. 21(1). 49–57. 7 indexed citations
8.
Tahaei, Mohammad & Kami Vaniea. (2022). Recruiting Participants With Programming Skills: A Comparison of Four Crowdsourcing Platforms and a CS Student Mailing List. CHI Conference on Human Factors in Computing Systems. 1–15. 25 indexed citations
9.
Tahaei, Mohammad, Tianshi Li, & Kami Vaniea. (2022). Understanding Privacy-Related Advice on Stack Overflow. Proceedings on Privacy Enhancing Technologies. 2022(2). 114–131. 24 indexed citations
10.
Tahaei, Mohammad, et al.. (2022). Privacy, Permissions, and the Health App Ecosystem: A Stack Overflow Exploration. Bristol Research (University of Bristol). 117–130. 8 indexed citations
11.
Tahaei, Mohammad, Alisa Frik, & Kami Vaniea. (2021). Privacy Champions in Software Teams: Understanding Their Motivations, Strategies, and Challenges. Edinburgh Research Explorer. 1–15. 54 indexed citations
12.
Tahaei, Mohammad, et al.. (2021). Developers Are Neither Enemies Nor Users: They Are Collaborators. Explore Bristol Research. 47–55. 6 indexed citations
13.
Tahaei, Mohammad, Kami Vaniea, Konstantin Beznosov, & Maria Wolters. (2021). Security Notifications in Static Analysis Tools: Developers’ Attitudes, Comprehension, and Ability to Act on Them. Edinburgh Research Explorer. 1–17. 19 indexed citations
14.
Tahaei, Mohammad & Kami Vaniea. (2021). “Developers Are Responsible”: What Ad Networks Tell Developers About Privacy. Edinburgh Research Explorer. 1–11. 18 indexed citations
15.
Tahaei, Mohammad, Alisa Frik, & Kami Vaniea. (2021). Deciding on Personalized Ads: Nudging Developers About User Privacy. Symposium On Usable Privacy and Security. 573–596. 6 indexed citations
16.
Tahaei, Mohammad, Katharina Krombholz, Emanuel von Zezschwitz, et al.. (2020). Cash, Cards or Cryptocurrencies? A Study of Payment Culture in Four Countries. Figshare. 200–209. 11 indexed citations
17.
Tahaei, Mohammad, Kami Vaniea, & Naomi Saphra. (2020). Understanding Privacy-Related Questions on Stack Overflow. Edinburgh Research Explorer. 1–14. 56 indexed citations
18.
Tahaei, Mohammad & Kami Vaniea. (2019). A Survey on Developer-Centred Security. Edinburgh Research Explorer. 129–138. 49 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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