What is he best known for?
The fields of study he is best known for:
- The Internet
- Operating system
- Software
His main research concerns World Wide Web, Web service, Mashup, User interface and Software engineering.
In the subject of general World Wide Web, his work in Web application and Web modeling is often linked to Self study and Core component, thereby combining diverse domains of study.
His research in Web service intersects with topics in Business process management and Service.
His biological study spans a wide range of topics, including Quality, Software and End user.
Florian Daniel works mostly in the field of User interface, limiting it down to topics relating to Component and, in certain cases, Composite application, Database, Software development and XML, as a part of the same area of interest.
The various areas that Florian Daniel examines in his Software engineering study include Middleware and Event.
His most cited work include:
- Understanding Mashup Development (403 citations)
- Blockchains for Business Process Management - Challenges and Opportunities (230 citations)
- Web Service Composition: A Survey of Techniques and Tools (192 citations)
What are the main themes of his work throughout his whole career to date?
Florian Daniel mainly investigates World Wide Web, Mashup, Web service, Software engineering and Web application.
Web modeling, Web development, Web engineering, Web standards and Web navigation are among the areas of World Wide Web where the researcher is concentrating his efforts.
His research integrates issues of User interface, End-user development, End user and Data science in his study of Mashup.
His User interface research incorporates themes from Composite application and Human–computer interaction.
He studied Web service and Business process management that intersect with Knowledge management.
His study in Software engineering is interdisciplinary in nature, drawing from both Set and Software, Software development, Software development process.
He most often published in these fields:
- World Wide Web (44.13%)
- Mashup (27.70%)
- Web service (16.43%)
What were the highlights of his more recent work (between 2016-2020)?
- World Wide Web (44.13%)
- Chatbot (3.76%)
- Crowdsourcing (7.51%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are World Wide Web, Chatbot, Crowdsourcing, Data science and Human–computer interaction.
Specifically, his work in World Wide Web is concerned with the study of Web navigation.
Florian Daniel works mostly in the field of Crowdsourcing, limiting it down to topics relating to Leverage and, in certain cases, Quality and Thesaurus.
His research investigates the connection between Data science and topics such as Control that intersect with problems in Information needs, Logical conjunction, Data quality and Instant messaging.
His work deals with themes such as Mashup, Design methods and Mobile apps, which intersect with Human–computer interaction.
His Mashup study combines topics in areas such as Application domain, On the fly and Operations research.
Between 2016 and 2020, his most popular works were:
- Blockchains for Business Process Management - Challenges and Opportunities (230 citations)
- Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques, and Assurance Actions (126 citations)
- A Service-Oriented Perspective on Blockchain Smart Contracts (15 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Operating system
- Software
The scientist’s investigation covers issues in Blockchain, Business process management, Business process, Data science and Key.
His studies in Blockchain integrate themes in fields like Cryptocurrency and Order.
The Business process management study combines topics in areas such as Knowledge management and Process management.
His Data science research includes elements of Crowdsourcing, Quality, Leverage and Thesaurus.
His Key study integrates concerns from other disciplines, such as Visual programming language, Set, Solidity, Software engineering and Smart contract.
His World Wide Web research extends to Natural language, which is thematically connected.
This overview was generated by a machine learning system which analysed the scientist’s
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