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Reviewers in the wild

The CS expert database: 1,777,551 experts · 2,837,695 papers in CCF A–C and ICORE A*–C venues · 10 venue-derived domains · snapshot 2026-09-22.

Experts who meet the recruitment bar

The bar is a setting of the venue, one per role; it is edited on its own page.
Reviewer bar: SIGIR, WWW, SIGKDD, WSDM, TOIS, ACL +2 · junior 2+ first-author in 5y or senior 5+ papers in 5y · 7,017 experts meet it · change the bar
List the experts who meet it

Experts by research domain — the database's own venue-derived domains; a paper can belong to several; active = at least one paper since 2021

Experts by expertise

The expertise taxonomy: 90,661 topics extracted from 634,694 papers of 537,692 experts, organised under the ten CCF categories and 168 areas. Pick a category, then narrow down to a topic; every level lists its experts by weight.
Artificial intelligence›Machine learning›Reinforcement learning›imitation learning›goal-conditioned imitation learning topic 3 papers · 7 experts
Experts on goal-conditioned imitation learning 7 · by weight: papers on the topic counted with recency (1 for a paper about it, 0.3 as context, halved every five years)
ExpertWeight Papers on topicLast on topic All papersLastORCID
Yasuo Kuniyoshi
dblp:42/4337
0.8 12024 124 · 17 since 2021 2025 corroborated
Heecheol Kim 0002
dblp:236/5887
0.8 12024 7 · 5 since 2021 2024 verified
Yoshiyuki Ohmura
dblp:14/5406
0.8 12024 17 · 8 since 2021 2025 corroborated
Pieter Abbeel
dblp:a/PieterAbbeel
0.4 12019 330 · 127 since 2021 2026 verified
Mariano Phielipp
dblp:23/4518
0.4 12019 12 · 8 since 2021 2024 corroborated
Carlos Florensa
dblp:199/1800
0.4 12019 7 · 1 since 2021 2021 none
Rajesh P. N. Rao
dblp:r/RajeshPNRao
0.1 12005 80 · 11 since 2021 2026 verified
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