Demo Data from VLDB 2026 / reviewers in the wild / expert
Neil Natarajan
dblp:344/1895
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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.
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction
human-AI collaboration |
0.7 | 1 | 2023 | Human-AI Collaboration in Recruitment and Selection · IJCAI 2023 |
Computational social science and digital humanities › algorithmic decision-making
algorithmic hiring |
0.2 | 1 | 2023 | Human-AI Collaboration in Recruitment and Selection · IJCAI 2023 |
Methods — techniques the papers use, named apart from their topics
algorithmic decision-making · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Human-AI Collaboration in Recruitment and SelectionabstractMy research focuses on using algorithmic systems alongside human collaborators to outperform either humans or machines individually. I specialize in human-machine collaboration in recruiting and selecting talented groups of people. Neil Natarajan |
IJCAI | 1 |