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researcher

Neil Shah

46 papers hereh-index 344.8k citations77 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author5
  • middle author29
  • last author11

Across the 46 of 46 papers where every author was matched, so the position is known.

fields
  • cs.LG24
  • cs.SI11
  • cs.IR3
  • cs.AI2
  • cs.CL2
  • cs.CR1
same name
  • Neil Shah — 30 papers, h 7
  • Neil Shah — 20 papers, h 12
  • Neil Shah — 3 papers, h 5
  • Neil Shah — 3 papers, h 4
  • Neil Shah — 2 papers, h 2
  • Neil Shah — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142026
most citedFalse Information on Web and Social Media: A Survey

136 citations · 553 across the 42 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.IR2015★ 7 cited

An Empirical Comparison of the Summarization Power of Graph Clustering Methods

Yike Liu, Neil Shah, Danai Koutra

How do graph clustering techniques compare with respect to their summarization power? How well can they summarize a million-node graph with a few representative structures? Graph c…

cs.SI2015

EdgeCentric: Anomaly Detection in Edge-Attributed Networks

Neil Shah, Alex Beutel, Bryan Hooi +5

Given a network with attributed edges, how can we identify anomalous behavior? Networks with edge attributes are commonplace in the real world. For example, edges in e-commerce net…

cs.AI2015

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection

Bryan Hooi, Neil Shah, Alex Beutel +5

Review fraud is a pervasive problem in online commerce, in which fraudulent sellers write or purchase fake reviews to manipulate perception of their products and services. Fake rev…

cs.DL2015★ 9 cited

S-index: Towards Better Metrics for Quantifying Research Impact

Neil Shah, Yang Song

The ongoing growth in the volume of scientific literature available today precludes researchers from efficiently discerning the relevant from irrelevant content. Researchers are co…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.