Demo Data from VLDB 2026 / reviewers in the wild / expert
Alejandro Uriel Carbonara
dblp:165/3235
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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.
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computing education · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › mechanism design
incentive mechanism design |
0.2 | 1 | 2015 | Incentivizing Peer Grading in MOOCS: An Audit Game Approach · IJCAI 2015 |
Computing education › online education
massive open online courses |
0.1 | 1 | 2015 | Incentivizing Peer Grading in MOOCS: An Audit Game Approach · IJCAI 2015 |
Computing education › educational assessment
peer grading |
0.1 | 1 | 2015 | Incentivizing Peer Grading in MOOCS: An Audit Game Approach · IJCAI 2015 |
Methods — techniques the papers use, named apart from their topics
game theory · 0.4audit game · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Incentivizing Peer Grading in MOOCS: An Audit Game Approach
Alejandro Uriel Carbonara, Anupam Datta, Arunesh Sinha, Yair Zick |
IJCAI | 1 |