Primal Wijesekera

1.1k citations
31 papers · 661 indexed · h-index 12

Primal Wijesekera

28 papers receiving 642 citations

Peers

Primal Wijesekera
Comparison fields: 5 of 59
  • Signal Processing 282
  • Information Systems 282
  • Human-Computer Interaction 64
  • Software 41
  • Sociology and Political Science 384
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Citations per year

Countries citing papers authored by Primal Wijesekera

Since Specialization
Citations

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

Fields of papers citing papers by Primal Wijesekera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Primal Wijesekera, 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 Primal Wijesekera Line = papers co-authored together Primal Wijesekera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3 20235
4 20226
5 20211
6 20211
7 20215
8
"You've Got Your Nice List of Bugs, Now What?" Vulnerability Discovery and Management Processes in the Wild
20206
9 202011
10 202020
11
An investigation of MMM Ponzi scheme on Bitcoin
20191
12 201950
13
Examining COPPA Compliance at Scale
20183
14 2018112
15 20181
16
Turtle Guard: Helping Android Users Apply Contextual Privacy Preferences
201725
17
"Is Our Children's Apps Learning?" Automatically Detecting COPPA Violations
201720
18 201777
19 20165
20 20120

About Primal Wijesekera

Primal Wijesekera is a scholar working on Signal Processing, Software, Information Systems, Sociology and Political Science and Artificial Intelligence, having authored 31 papers that have together received 661 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (16 papers), Privacy, Security, and Data Protection (14 papers), Internet Traffic Analysis and Secure E-voting (7 papers), User Authentication and Security Systems (5 papers), Privacy-Preserving Technologies in Data (4 papers), Software Reliability and Analysis Research (2 papers), Misinformation and Its Impacts (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Signal Processing (282 citations), Information Systems (282 citations), Human-Computer Interaction (64 citations), Software (41 citations) and Sociology and Political Science (384 citations). Primal Wijesekera has collaborated with scholars based in United States, Sri Lanka and Canada. Frequent co-authors include Serge Egelman, Joel Reardon, David Wagner, Narseo Vallina-Rodríguez, Konstantin Beznosov, Irwin Reyes, Amit Elazari Bar On, Nathan Malkin, Abbas Razaghpanah and David Wagner. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal, IEEE Security & Privacy, Computational and Mathematical Organization Theory and Pervasive and Mobile Computing.

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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