Mike M. Adibi

Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

? Tutorial for this page

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

dblp:322/3348 · DBLP profile ↗

← Back

1ranked-venue papers

0as first author

0since 2021 · last 1992

—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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.

Interdisciplinary, comprehensive, and emerging computing 1 paper		Energy systems and smart grids · 100%
Artificial intelligence 1 paper		Knowledge representation and reasoning · 100%

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

Topic	Weight	Papers	Last	Evidence papers
Energy systems and smart grids › power system operation power system restoration	0.0	1	1992	Knowledge-Based systems as operational aids in power system restoration · Proc. IEEE 1992
Knowledge, reasoning and agents › Knowledge representation and reasoning knowledge-based systems	0.0	1	1992	Knowledge-Based systems as operational aids in power system restoration · Proc. IEEE 1992

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

knowledge-based system · 0.0

Year	Publication	Venue	Position
1992	Knowledge-Based systems as operational aids in power system restoration abstract The background of power system restoration is analyzed and how this process might benefit from the use of knowledge-based systems is discussed. After describing the state of the art of knowledge-based systems for power system restoration, efforts are made to review knowledge-based techniques to handle system restoration problems. The experiences of system development are reported and evaluation of the systems is addressed. Some needed technological innovations are listed that are required before knowledge-based systems can extensively be applied to power system restoration.> Keinosuke Matsumoto, Toshiaki Sakaguchi, Richard J. Kafka, Mike M. Adibi	Proc. IEEE	4