EDBT 2026 Demo / reviewers in the wild / expert
Paul Nüsken
dblp:377/9191
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 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.
| Theoretical computer science
2 papers |
Algorithmic game theory and mechanism design · 85% Algorithms and data structures · 15% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › social choice
computational social choice |
0.9 | 1 | 2025 | Control in Computational Social Choice · IJCAI 2025 |
Algorithmic game theory and mechanism design › social choice › computational social choice › election control
control complexity |
0.8 | 1 | 2024 | Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections · IJCAI 2024 |
Algorithms and data structures › numerical linear algebra › dimensionality reduction
random projection |
0.8 | 1 | 2024 | Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections · IJCAI 2024 |
Algorithmic game theory and mechanism design › social choice › voting
schulze method |
0.8 | 1 | 2024 | Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections · IJCAI 2024 |
Algorithmic game theory and mechanism design
social choice |
0.8 | 1 | 2024 | Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections · IJCAI 2024 |
Algorithmic game theory and mechanism design › social choice › computational social choice
voting rules |
0.8 | 1 | 2024 | Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections · IJCAI 2024 |
Algorithmic game theory and mechanism design
fair division |
0.3 | 1 | 2025 | Control in Computational Social Choice · IJCAI 2025 |
Algorithmic game theory and mechanism design › matching
matching under preferences |
0.3 | 1 | 2025 | Control in Computational Social Choice · IJCAI 2025 |
Methods — techniques the papers use, named apart from their topics
survey · 0.9complexity analysis · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Control in Computational Social ChoiceabstractWe survey the notion of control in various areas of computational social choice (COMSOC) such as voting, fair allocation, cooperative game theory, matching under preferences, and group identification. In all these scenarios, control can be exerted, for instance, by adding or deleting agents with the goal of influencing the outcome. We conclude by briefly covering control in some other COMSOC areas including participatory budgeting, judgment aggregation, and opinion diffusion. Jiehua Chen 0001, Joanna Kaczmarek 0001, Paul Nüsken, Jörg Rothe, Ildikó Schlotter, Tessa Seeger |
IJCAI | 3 |
| 2024 | Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections
Cynthia Maushagen, David Niclaus, Paul Nüsken, Jörg Rothe, Tessa Seeger |
IJCAI | 3 |