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Paul Nüsken

dblp:377/9191 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › social choice
computational social choice
0.912025
Control in Computational Social Choice · IJCAI 2025
Algorithmic game theory and mechanism design › social choice › computational social choice › election control
control complexity
0.812024
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
0.812024
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
0.812024
Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections · IJCAI 2024
Algorithmic game theory and mechanism design
social choice
0.812024
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
0.812024
Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections · IJCAI 2024
Algorithmic game theory and mechanism design
fair division
0.312025
Control in Computational Social Choice · IJCAI 2025
Algorithmic game theory and mechanism design › matching
matching under preferences
0.312025
Control in Computational Social Choice · IJCAI 2025

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

survey · 0.9complexity analysis · 0.8
YearPublicationVenuePosition
2025 Control in Computational Social Choice
abstract
We 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
IJCAI3
2024 Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections
Cynthia Maushagen, David Niclaus, Paul Nüsken, Jörg Rothe, Tessa Seeger
IJCAI3