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Erik Madsen

dblp:267/1475 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Theory of computation · 1

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
Computational finance and economics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › market design
data market		 0.412020
Data and Incentives · EC 2020
Algorithmic game theory and mechanism design
incentive mechanism		 0.412020
Data and Incentives · EC 2020
Computational finance and economics
electronic commerce		 0.112020
Data and Incentives · EC 2020
YearPublicationVenuePosition
2020 Data and Incentives
abstract
No abstract available.
Annie Liang, Erik Madsen
 EC2