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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›Trustworthy machine learning›fairness›allocative harm topic 3 papers · 8 experts
Experts on allocative harm 8 · 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
Oussama Metatla
dblp:70/4119
1.0 12026 47 · 31 since 2021 2026 verified
Yelu Gu
dblp:402/9569
1.0 12026 1 · 1 since 2021 2026 reported
Kirsten Cater
dblp:27/900
1.0 12026 18 · 8 since 2021 2026 verified
Mayank Agarwal
dblp:38/5693
0.2 12024 33 · 20 since 2021 2026 conflict
Subha Maity
dblp:278/2922
0.2 12024 11 · 11 since 2021 2025 none
Mikhail Yurochkin
dblp:191/6719
0.2 12024 52 · 36 since 2021 2025 corroborated
Yuekai Sun
dblp:116/2926
0.2 12024 44 · 31 since 2021 2025 none
Ali Alkhatib
dblp:161/3216
0.1 12021 4 · 1 since 2021 2021 corroborated
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