What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Database
- Programming language
His primary areas of study are World Wide Web, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Pacific islanders.
His World Wide Web study incorporates themes from Query language and Information retrieval.
His research on Genome-wide association study concerns the broader Genetics.
His Genetic association study combines topics from a wide range of disciplines, such as Genetic architecture and Genomics.
His work deals with themes such as Population genetics and Allele frequency, which intersect with Single-nucleotide polymorphism.
José Luis Ambite interconnects Information integration and Knowledge representation and reasoning in the investigation of issues within Web modeling.
His most cited work include:
- Genetic analyses of diverse populations improves discovery for complex traits (209 citations)
- Modeling Web sources for information integration (194 citations)
- The Ariadne approach to Web- based information integration (181 citations)
What are the main themes of his work throughout his whole career to date?
José Luis Ambite focuses on Information retrieval, Data science, Genome-wide association study, Data integration and World Wide Web.
His Data science research integrates issues from Data sharing and Big data.
His Genome-wide association study research incorporates elements of SNP, Genetic association and Genomics.
His work carried out in the field of Genetic association brings together such families of science as Genetic epidemiology, Pacific islanders, Bioinformatics and Genetic architecture.
As part of his studies on World Wide Web, José Luis Ambite frequently links adjacent subjects like Information integration.
His biological study spans a wide range of topics, including RDF and Data mining.
He most often published in these fields:
- Information retrieval (20.92%)
- Data science (21.57%)
- Genome-wide association study (15.69%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (12.42%)
- Data science (21.57%)
- Deep learning (3.92%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Data science, Deep learning, Genomics and Machine learning.
When carried out as part of a general Artificial intelligence research project, his work on Embedding is frequently linked to work in Process, therefore connecting diverse disciplines of study.
In his study, which falls under the umbrella issue of Data science, Field, Biomedicine and Linked data is strongly linked to Big data.
His research on Deep learning also deals with topics like
- Feature selection and related Linear regression, Autoencoder, Data mining, Logistic regression and Python,
- Artificial neural network that intertwine with fields like Feature extraction.
The concepts of his Genomics study are interwoven with issues in Data access, Genome-wide association study, Computational biology and Knowledge management.
José Luis Ambite focuses mostly in the field of Genome-wide association study, narrowing it down to topics relating to Genetic architecture and, in certain cases, Disease.
Between 2018 and 2021, his most popular works were:
- Genetic analyses of diverse populations improves discovery for complex traits (209 citations)
- Rapid detection of identity-by-descent tracts for mega-scale datasets (13 citations)
- Towards a fine-scale population health monitoring system (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Database
- Programming language
José Luis Ambite mainly investigates Genome-wide association study, Genetic association, Disease, Genomics and Artificial intelligence.
His Genome-wide association study study improves the overall literature in Single-nucleotide polymorphism.
His Genetic association research is multidisciplinary, incorporating perspectives in Health equity, Precision medicine and Genetic architecture.
He has researched Disease in several fields, including Biobank and Population health.
His Genomics research includes elements of Chromosome, Computational biology and Pairwise comparison.
His Artificial intelligence research includes themes of Domain, Set and Natural language processing.
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