What is he best known for?
The fields of study he is best known for:
- Algorithm
- Artificial intelligence
- Operating system
His primary scientific interests are in Suffix array, Suffix tree, Algorithm, Search engine indexing and Combinatorics.
His Suffix array research is multidisciplinary, incorporating elements of FM-index and Compressed suffix array.
FM-index is a subfield of Data structure that he investigates.
While the research belongs to areas of Compressed suffix array, he spends his time largely on the problem of Generalized suffix tree, intersecting his research to questions surrounding Longest common substring problem and Theoretical computer science.
The study incorporates disciplines such as Time complexity and Substring in addition to Suffix tree.
His Search engine indexing study results in a more complete grasp of Information retrieval.
His most cited work include:
- Opportunistic data structures with applications (887 citations)
- Indexing compressed text (579 citations)
- TAGME: on-the-fly annotation of short text fragments (by wikipedia entities) (546 citations)
What are the main themes of his work throughout his whole career to date?
Paolo Ferragina mainly focuses on Algorithm, Theoretical computer science, Data structure, Information retrieval and Search engine indexing.
The Algorithm study combines topics in areas such as Suffix array, FM-index and Substring.
As a part of the same scientific family, Paolo Ferragina mostly works in the field of Suffix array, focusing on Generalized suffix tree and, on occasion, Longest common substring problem.
His studies deal with areas such as Tree, String and Compressed suffix array as well as Theoretical computer science.
The various areas that Paolo Ferragina examines in his Data structure study include Parallel algorithm, Auxiliary memory, Set and Cache.
Paolo Ferragina combines subjects such as Annotation, Ranking, Entity linking and Cluster analysis with his study of Information retrieval.
He most often published in these fields:
- Algorithm (23.30%)
- Theoretical computer science (20.39%)
- Data structure (20.39%)
What were the highlights of his more recent work (between 2017-2021)?
- Information retrieval (19.42%)
- Artificial intelligence (12.62%)
- Search engine indexing (17.96%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Information retrieval, Artificial intelligence, Search engine indexing, Data structure and Entity linking.
His work on Web search engine as part of general Information retrieval research is often related to Noise, thus linking different fields of science.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Rank, Pattern recognition and Natural language processing.
The concepts of his Data structure study are interwoven with issues in Exploit, Theoretical computer science and Data mining.
His Theoretical computer science study combines topics in areas such as Complement and Heuristics.
In his research on the topic of Entity linking, Semantic search, Semantic similarity, Profiling, Crowdsourcing and PageRank is strongly related with Graph.
Between 2017 and 2021, his most popular works were:
- A public data set of spatio-temporal match events in soccer competitions. (29 citations)
- The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds (28 citations)
- Wiser: A semantic approach for expert finding in academia based on entity linking (26 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Artificial intelligence
- Operating system
His main research concerns Data structure, Search engine indexing, Information retrieval, Entity linking and Theoretical computer science.
His work deals with themes such as Exploit and Trait, which intersect with Data structure.
His Search engine indexing study incorporates themes from Field, Semantic similarity, Heuristics, Complement and Profiling.
His Information retrieval research includes themes of Graph and Task.
His Entity linking research integrates issues from Coherence and Web search engine.
His work carried out in the field of Theoretical computer science brings together such families of science as Distribution and Orders of magnitude.
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