What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Algorithm
Torsten Suel mainly focuses on Information retrieval, Web search query, Search engine, Query expansion and Query optimization.
His Web search query study combines topics from a wide range of disciplines, such as Web page, Web crawler and Search engine indexing.
His research combines Database and Search engine.
His Query expansion research is multidisciplinary, incorporating elements of Inverted index and Queries per second.
Torsten Suel has researched Inverted index in several fields, including Query throughput and Cache.
Torsten Suel focuses mostly in the field of Query optimization, narrowing it down to matters related to Sargable and, in some cases, Query language.
His most cited work include:
- Optimal Histograms with Quality Guarantees (376 citations)
- Design and implementation of a high-performance distributed Web crawler (297 citations)
- BSPlib: The BSP programming library (293 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Information retrieval, Search engine, Inverted index, Web page and Web search query.
His Information retrieval study integrates concerns from other disciplines, such as Query throughput, Database and Index.
His studies in Search engine integrate themes in fields like Ranking, Intersection and Theoretical computer science.
His research integrates issues of Set and Data mining in his study of Inverted index.
His Web page research is multidisciplinary, relying on both The Internet and File synchronization.
His Web search query study which covers Query expansion that intersects with Sargable.
He most often published in these fields:
- Information retrieval (29.93%)
- Search engine (25.17%)
- Inverted index (20.41%)
What were the highlights of his more recent work (between 2013-2021)?
- Inverted index (20.41%)
- Data mining (15.65%)
- Information retrieval (29.93%)
In recent papers he was focusing on the following fields of study:
Torsten Suel focuses on Inverted index, Data mining, Information retrieval, Search engine and Index.
His Inverted index research includes elements of Set, Simple, Graphics, Execution model and SIMD.
His study on Big data is often connected to Index as part of broader study in Data mining.
His Information retrieval research incorporates elements of Pipeline and Feature.
His Search engine research incorporates themes from Ranking, Intersection, Compression method and Visual Word.
The study incorporates disciplines such as Rank and Search engine indexing in addition to Index.
Between 2013 and 2021, his most popular works were:
- A robust model for paper reviewer assignment (35 citations)
- An Experimental Study of Index Compression and DAAT Query Processing Methods (10 citations)
- Fast First-Phase Candidate Generation for Cascading Rankers (9 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Algorithm
His primary areas of study are Search engine, Information retrieval, Index, Inverted index and Ranking.
His Information retrieval study frequently links to other fields, such as Graph.
Torsten Suel combines subjects such as Identifier, Preprocessor, Core and Search engine indexing with his study of Index.
His studies deal with areas such as Intersection and Data mining as well as Inverted index.
His Data mining research is multidisciplinary, incorporating perspectives in Compression method, Index compression and Matching.
His Ranking research integrates issues from Ranking and Data science.
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