Prashanth Rajivan

763 total citations
42 papers, 397 citations indexed

About

Prashanth Rajivan is a scholar working on Information Systems, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Prashanth Rajivan has authored 42 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 14 papers in Sociology and Political Science and 11 papers in Social Psychology. Recurrent topics in Prashanth Rajivan's work include Information and Cyber Security (12 papers), Spam and Phishing Detection (10 papers) and Privacy, Security, and Data Protection (9 papers). Prashanth Rajivan is often cited by papers focused on Information and Cyber Security (12 papers), Spam and Phishing Detection (10 papers) and Privacy, Security, and Data Protection (9 papers). Prashanth Rajivan collaborates with scholars based in United States, United Kingdom and Israel. Prashanth Rajivan's co-authors include Cleotilde González, Nancy J. Cooke, L. Jean Camp, Kuldeep Singh, Norbou Buchler, Shelby R. Curtis, Daniel N. Jones, Timothy Kelley, Palvi Aggarwal and Laura R. Marusich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Computers in Human Behavior.

In The Last Decade

Prashanth Rajivan

39 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashanth Rajivan United States 14 294 114 92 67 59 42 397
Joshua Tan United States 9 119 0.4× 136 1.2× 38 0.4× 57 0.9× 24 0.4× 16 302
Michail Tsikerdekis United States 11 193 0.7× 130 1.1× 34 0.4× 89 1.3× 120 2.0× 29 464
Farhan Bashir Shaikh Malaysia 5 138 0.5× 55 0.5× 47 0.5× 28 0.4× 60 1.0× 18 245
Fredrik Johansson Sweden 13 164 0.6× 205 1.8× 39 0.4× 49 0.7× 49 0.8× 24 497
Robert Thomson United States 10 116 0.4× 45 0.4× 38 0.4× 28 0.4× 32 0.5× 37 327
Mark B. Schmidt United States 9 137 0.5× 79 0.7× 20 0.2× 47 0.7× 105 1.8× 36 298
Vincent Mancuso United States 13 151 0.5× 46 0.4× 232 2.5× 21 0.3× 31 0.5× 36 386
Blaine Hoffman United States 9 152 0.5× 42 0.4× 31 0.3× 30 0.4× 57 1.0× 21 260
Affan Yasin China 13 320 1.1× 79 0.7× 14 0.2× 89 1.3× 79 1.3× 45 523
Hui Na Chua Malaysia 12 145 0.5× 159 1.4× 36 0.4× 24 0.4× 31 0.5× 58 452

Countries citing papers authored by Prashanth Rajivan

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Rajivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Rajivan

This figure shows the co-authorship network connecting the top 25 collaborators of Prashanth Rajivan. A scholar is included among the top collaborators of Prashanth Rajivan 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 Prashanth Rajivan. Prashanth Rajivan 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.
Rajivan, Prashanth, et al.. (2025). Towards Adaptive Autonomous Vehicle Systems: Considering Trust and Risk Perception during Failures. Accident Analysis & Prevention. 224. 108267–108267.
2.
3.
Dykstra, Josiah, et al.. (2024). SoK: Analyzing Privacy and Security of Healthcare Data from the User Perspective. 5(2). 1–31. 7 indexed citations
4.
Dykstra, Josiah, Prashanth Rajivan, Kapil Chalil Madathil, et al.. (2024). Improving Privacy and Security of Telehealth. Communications of the ACM. 67(9). 27–30. 1 indexed citations
5.
6.
Rajivan, Prashanth, et al.. (2024). Privacy Concerns of Student Data Shared with Instructors in an Online Learning Management System. 1–16. 2 indexed citations
7.
Rajivan, Prashanth, et al.. (2024). The Impact of Cybersecurity Attacks on Human Trust in Autonomous Vehicle Operations. Human Factors The Journal of the Human Factors and Ergonomics Society. 67(5). 485–502. 3 indexed citations
8.
Singh, Kuldeep, Palvi Aggarwal, Prashanth Rajivan, & Cleotilde González. (2023). Cognitive elements of learning and discriminability in anti-phishing training. Computers & Security. 127. 103105–103105. 5 indexed citations
9.
Dykstra, Josiah, et al.. (2023). Privacy, Security, and Usability Tradeoffs of Telehealth from Practitioners' Perspectives. SSRN Electronic Journal. 1 indexed citations
10.
Dykstra, Josiah, et al.. (2023). Privacy, Security, and Usability Tradeoffs of Telehealth from Practitioners’ Perspectives. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 1862–1867. 1 indexed citations
11.
Rajivan, Prashanth, et al.. (2023). Who Hacked My Car? Designing Autonomous Vehicles to Support Driver Response to Security Threats. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 247–252. 2 indexed citations
12.
Oswald, Frederick L., et al.. (2023). The National Academies Board on Human-Systems Integration (BOHSI) Panel: Emerging trends in technology: Implications for future research in human-system interactions (HSI). Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 414–418. 1 indexed citations
13.
Singh, Kuldeep, et al.. (2022). Personalized persuasion: Quantifying susceptibility to information exploitation in spear-phishing attacks. Applied Ergonomics. 108. 103908–103908. 16 indexed citations
14.
Singh, Kuldeep, Palvi Aggarwal, Prashanth Rajivan, & Cleotilde González. (2019). Training to Detect Phishing Emails: Effects of the Frequency of Experienced Phishing Emails. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63(1). 453–457. 22 indexed citations
15.
Rajivan, Prashanth, et al.. (2018). Human Decisions on Targeted and Non-Targeted Adversarial Sample.. Cognitive Science. 2 indexed citations
16.
Rajivan, Prashanth & Cleotilde González. (2018). Creative Persuasion: A Study on Adversarial Behaviors and Strategies in Phishing Attacks. Frontiers in Psychology. 9. 135–135. 41 indexed citations
17.
Rajivan, Prashanth, et al.. (2016). What Can Johnny Do? - Factors in an End-User Expertise Instrument. 199–208. 3 indexed citations
18.
Rajivan, Prashanth & L. Jean Camp. (2016). Influence of Privacy Attitude and Privacy Cue Framing on Android App Choices. Symposium On Usable Privacy and Security. 16 indexed citations
19.
Cooke, Nancy J., et al.. (2013). Cyber situation awareness and teamwork. SHILAP Revista de lepidopterología. 1(2). e5–e5. 8 indexed citations
20.
Rajivan, Prashanth, Marco A. Janssen, & Nancy J. Cooke. (2013). Agent-Based Model of a Cyber Security Defense Analyst Team. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 57(1). 314–318. 14 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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