What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Software
- Programming language
Stefan Wagner mostly deals with Internal medicine, Endocrinology, Quality, Software quality and Software engineering. As a part of the same scientific study, he usually deals with the Internal medicine, concentrating on Sodium channel and frequently concerns with Voltage-dependent calcium channel. His Endocrinology research is multidisciplinary, incorporating elements of Cell, Biophysics, Patch clamp and Ca2+/calmodulin-dependent protein kinase.
The concepts of his Quality study are interwoven with issues in Maintainability, Requirements engineering and Metamodeling. His Software quality research is multidisciplinary, relying on both Java, Model-based design, Machine learning and Process. His Software engineering research integrates issues from Software system, Software, Software development, Reliability engineering and Quality assurance.
His most cited work include:
- Ca2+/calmodulin-dependent protein kinase II regulates cardiac Na+ channels (435 citations)
- Generation of Induced Pluripotent Stem Cells from Human Cord Blood (404 citations)
- Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications (398 citations)
What are the main themes of his work throughout his whole career to date?
Stefan Wagner spends much of his time researching Software engineering, Software, Quality, Process and Artificial intelligence. Stefan Wagner has included themes like Software system, Quality assurance, Software development and Static analysis in his Software engineering study. In his work, Scrum is strongly intertwined with Agile software development, which is a subfield of Software.
Many of his studies on Quality apply to Software quality as well. His research in Software quality is mostly focused on Software quality control. His Artificial intelligence research incorporates elements of Genetic algorithm and Machine learning.
He most often published in these fields:
- Software engineering (12.39%)
- Software (12.26%)
- Quality (10.19%)
What were the highlights of his more recent work (between 2017-2021)?
- Software engineering (12.39%)
- Software (12.26%)
- Quality (10.19%)
In recent papers he was focusing on the following fields of study:
Stefan Wagner mainly investigates Software engineering, Software, Quality, Process and Code. His work in Software engineering addresses subjects such as Microservices, which are connected to disciplines such as Legacy system. The Software study combines topics in areas such as Agile software development and Process management.
In his works, he undertakes multidisciplinary study on Quality and Empirical research. His study looks at the intersection of Code and topics like Java with Data mining. Stefan Wagner studies Software quality which is a part of Software development.
Between 2017 and 2021, his most popular works were:
- A Systematic Review of Productivity Factors in Software Development (53 citations)
- Highly Sensitive Electromechanical Piezoresistive Pressure Sensors Based on Large-Area Layered PtSe2 Films (47 citations)
- Diagnostic performance of 18 F-PSMA-1007 PET/CT in patients with biochemical recurrent prostate cancer (42 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Software
- Programming language
His primary areas of study are Graphene, Optoelectronics, Microservices, Silicon and Process management. The various areas that Stefan Wagner examines in his Process management study include Agile software development, Software and Software evolution. In his research, Software engineering is intimately related to Software architecture, which falls under the overarching field of Legacy system.
His research investigates the connection with Technical debt and areas like Quality which intersect with concerns in Status quo. His biological study spans a wide range of topics, including Software deployment and Software quality. Stefan Wagner has researched Software system in several fields, including Risk analysis and Quality assurance.
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