Demo Data from EDBT 2026 / reviewers in the wild / expert
Ameya Hanamsagar
dblp:217/9423
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-author
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 |
Authentication and access control · 87% Usable security · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Authentication and access control › password security
password behavior |
0.3 | 1 | 2018 | Leveraging Semantic Transformation to Investigate Password Habits and Their Causes · CHI 2018 |
Authentication and access control › password security
password reuse |
0.3 | 1 | 2018 | Leveraging Semantic Transformation to Investigate Password Habits and Their Causes · CHI 2018 |
Methods — techniques the papers use, named apart from their topics
survey · 0.3semantic transformation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Leveraging Semantic Transformation to Investigate Password Habits and Their CausesabstractIt is no secret that users have difficulty choosing and remembering strong passwords, especially when asked to choose different passwords across different accounts. While research has shed light on password weaknesses and reuse, less is known about user motivations for following bad password practices. Understanding these motivations can help us design better interventions that work with the habits of users and not against them. Ameya Hanamsagar, Simon S. Woo, Chris Kanich, Jelena Mirkovic |
CHI | 1 |