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

Mark Abramson

dblp:02/2040 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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.

Artificial intelligence
1 paper
Planning, search and constraint satisfaction · 50% Motion planning and robot control · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control architecture
reactive system		 0.012001
Executing Reactive, Model-based Programs through Graph-based Temporal Planning · IJCAI 2001
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
temporal planning		 0.012001
Executing Reactive, Model-based Programs through Graph-based Temporal Planning · IJCAI 2001

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

graph-based temporal planning · 0.0
YearPublicationVenuePosition
2001 Executing Reactive, Model-based Programs through Graph-based Temporal Planning
Phil Kim, Brian C. Williams, Mark Abramson
 IJCAI3