Andrew Turpin

Artificial Intelligence · 2000–2018

A researcher in the Science corpus: 6 papers; trusts 20 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #9,200 of 35,345 by trust here, #13,544 by citations
• Information Retrieval & Search — 21 citations into it; #630 of 1,022 by trust here, #563 by citations
• Information Systems — 17 citations into it; #596 of 8,771 by trust here, #1,189 by citations
• Evaluation & Benchmarks — 15 citations into it; #1,883 of 3,147 by trust here, #2,244 by citations
• Molecular Biology — 6 citations into it; #6,298 of 17,773 by trust here, #15,203 by citations

Whom Andrew Turpin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ellen M. Voorhees
2. Anastasios Tombros
3. James Allan
4. William R. Hersh
5. Justin Zobel
6. Mark Sanderson
7. Juha Kärkkäinen
8. Chris Buckley
9. Andrei Z. Broder
10. Ben Carterette

Who trusts Andrew Turpin overall

1. Xiangyu Zhao
2. Mark Sanderson
3. Diane Kelly
4. William R. Hersh
5. Shlomo Geva
6. Donna K. Harman
7. Nicholas J. Belkin
8. Jun Wang
9. L. Zhang
10. Lihong Li

Papers from Andrew Turpin's perspective

Ordered by how strongly the researchers Andrew Turpin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Retrieval evaluation with incomplete information
2. Cumulated gain-based evaluation of IR techniques
3. Variations in relevance judgments and the measurement of retrieval effectiveness
4. The Philosophy of Information Retrieval Evaluation
5. How reliable are the results of large-scale information retrieval experiments?
6. Term-Weighting Approaches in Automatic Text Retrieval
7. On Fine-Grained Relevance Scales
8. Compressed suffix arrays and suffix trees with applications to text indexing and string matching (extended abstract) (Symposium on the Theory of Computing)
9. A Block-sorting Lossless Data Compression Algorithm
10. Simple Linear Work Suffix Array Construction

Their papers

• Why batch and user evaluations do not give the same results (2001) — 200 citations
• A taxonomy of suffix array construction algorithms (2007) — 347 citations
• Pairwise Crowd Judgments: Preference, Absolute, and Ratio (2018) — 16 citations
• On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation (2017) — 96 citations
• User performance versus precision measures for simple search tasks (2006) — 444 citations
• Do batch and user evaluations give the same results? (2000) — 160 citations