Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Muhammad Qasim Atiq Ullah

dblp:427/7914 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0006-3616-0921ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Privacy and data protection · 100%
Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection › privacy compliance › consent
informed consent		 1.012026
(Mis-)Informed Consent: Predatory Apps and the Exploitation of Populations with Limited Literacy · WWW 2026
Privacy and data protection
vulnerable populations		 0.312026
(Mis-)Informed Consent: Predatory Apps and the Exploitation of Populations with Limited Literacy · WWW 2026

Methods — techniques the papers use, named apart from their topics

qualitative analysis · 2.0
YearPublicationVenuePosition
2026 (Mis-)Informed Consent: Predatory Apps and the Exploitation of Populations with Limited Literacy
Muhammad Muneeb Pervez, Muhammad Qasim Atiq Ullah, Ibrahim Ahmed Khan, Roshnik Rahat, Fareed Zaffar, Rashid Tahir, Talal Rahwan, Yasir Zaki
 WWW2