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Demo Data from EDBT 2026 / reviewers in the wild / expert

Rakshitha

dblp:393/0561 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
—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 · 1 · 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.

Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 67% Approximation and online algorithms · 33%

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

TopicWeightPapersLastEvidence papers
Approximation and online algorithms › approximation algorithms
approximation guarantees		 1.012026
Best of Both Worlds Guarantees for Equitable Allocations · AAAI 2026
Algorithmic game theory and mechanism design › fair division
equitable allocations		 1.012026
Best of Both Worlds Guarantees for Equitable Allocations · AAAI 2026
Algorithmic game theory and mechanism design
fair division		 1.012026
Best of Both Worlds Guarantees for Equitable Allocations · AAAI 2026
YearPublicationVenuePosition
2026 Best of Both Worlds Guarantees for Equitable Allocations
Umang Bhaskar, Vishwa Prakash HV, Aditi Sethia, Rakshitha
 AAAI4
2025 Towards Envy-Freeness Relaxations for General Nonmonotone Valuations
Umang Bhaskar, Gunjan Kumar, Yeshwant Pandit, Rakshitha
 AAMAS4