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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: SIGMOD, VLDB, ICDE, PODS, SIGKDD · junior 2+ first-author in 5y or senior 4+ papers in 5y · 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›behavior learning topic 3 papers · 7 experts · placed by the area most of its papers name
Experts on behavior 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
Takayuki Osa
dblp:27/1571
0.8 12024 24 · 11 since 2021 2025 verified
Tatsuya Harada
dblp:14/5849
0.8 12024 189 · 78 since 2021 2026 corroborated
Marc Cavazza
dblp:89/2231
0.2 12015 85 · 7 since 2021 2025 corroborated
Yifeng Zeng
dblp:50/1401
0.2 12015 76 · 33 since 2021 2026 conflict
Yingke Chen
dblp:27/10279
0.2 12015 32 · 19 since 2021 2026 corroborated
Ross Conroy
dblp:165/3232
0.2 12015 2 · 0 since 2021 2016 none
Kaushik Subramanian
dblp:19/8399
0.1 12010 10 · 3 since 2021 2026 none
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