What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Database
The scientist’s investigation covers issues in World Wide Web, Web service, WS-Policy, Service-oriented architecture and Web modeling. His World Wide Web research incorporates elements of Middleware, Service and Data science. His Web service study combines topics in areas such as Service delivery framework, Service and Differentiated service.
His research in WS-Policy focuses on subjects like WS-I Basic Profile, which are connected to Integrated services. He focuses mostly in the field of Service-oriented architecture, narrowing it down to matters related to Software engineering and, in some cases, Database, Aspect-oriented programming, Software development and Business process. His Services computing research is multidisciplinary, incorporating perspectives in Business Process Execution Language and Orchestration.
His most cited work include:
- QoS-aware middleware for Web services composition (2580 citations)
- Quality driven web services composition (1067 citations)
- A Petri net-based model for web service composition (592 citations)
What are the main themes of his work throughout his whole career to date?
World Wide Web, Web service, Data science, Software engineering and Business process are his primary areas of study. His World Wide Web study frequently draws connections between adjacent fields such as Service. WS-Policy, Web modeling, Service-oriented architecture and Web development are subfields of Web service in which his conducts study.
His studies in WS-Policy integrate themes in fields like WS-Addressing and WS-I Basic Profile. His research in Data science intersects with topics in Crowdsourcing and Big data. His biological study spans a wide range of topics, including Web application security and Web 2.0.
He most often published in these fields:
- World Wide Web (33.57%)
- Web service (26.62%)
- Data science (13.43%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (8.39%)
- Data science (13.43%)
- Machine learning (6.24%)
In recent papers he was focusing on the following fields of study:
Boualem Benatallah mostly deals with Artificial intelligence, Data science, Machine learning, Crowdsourcing and World Wide Web. Boualem Benatallah has researched Artificial intelligence in several fields, including Set and Natural language processing. His Data science study integrates concerns from other disciplines, such as Quality, Event, Key and Big data.
His study looks at the relationship between Crowdsourcing and topics such as Task, which overlap with Relevance. Boualem Benatallah combines topics linked to Service with his work on World Wide Web. His study in Web service concentrates on Web analytics, Web standards, Web modeling, Web development and Web design.
Between 2016 and 2021, his most popular works were:
- Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques, and Assurance Actions (126 citations)
- A service computing manifesto: the next 10 years (120 citations)
- A Taxonomy and Survey of Cloud Resource Orchestration Techniques (49 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Programming language
Boualem Benatallah mainly focuses on Data science, Artificial intelligence, Big data, Information retrieval and Machine learning. His study in Data science is interdisciplinary in nature, drawing from both Quality, Open data, Metadata and Knowledge acquisition. His studies deal with areas such as Service, Data-driven, Raw data, Data analysis and Data curation as well as Big data.
His Information retrieval study combines topics from a wide range of disciplines, such as Similarity, Rank, Set and Focus. His JSON study is concerned with World Wide Web in general. Boualem Benatallah has included themes like Resource and Taxonomy in his World Wide Web study.
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