What is she best known for?
The fields of study she is best known for:
- Operating system
- Artificial intelligence
- Programming language
Claudia Eckert mainly investigates Engineering design process, New product development, Artificial intelligence, Machine learning and Product.
Her studies deal with areas such as Knowledge management, Design process, Process and Process management as well as Engineering design process.
Her New product development research incorporates themes from Product design, Systems engineering, Industrial engineering and Engineering management.
Her biological study spans a wide range of topics, including State and Malware.
Her research in Machine learning focuses on subjects like Pattern recognition, which are connected to Detector.
Her Product research is multidisciplinary, relying on both Risk analysis and Function.
Her most cited work include:
- Predicting change propagation in complex design (558 citations)
- Change and customisation in complex engineering domains (460 citations)
- Sources of inspiration: a language of design (261 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Engineering design process, Process, Systems engineering, Design process and Product.
Her Engineering design process study combines topics from a wide range of disciplines, such as Management science, Industrial engineering, Engineering management, Knowledge management and New product development.
Claudia Eckert frequently studies issues relating to Process management and Knowledge management.
Her New product development research integrates issues from Product design and Manufacturing engineering.
Her Design process study typically links adjacent topics like Process modeling.
As part of her studies on Product, she frequently links adjacent subjects like Risk analysis.
She most often published in these fields:
- Engineering design process (19.01%)
- Process (12.81%)
- Systems engineering (12.19%)
What were the highlights of her more recent work (between 2014-2021)?
- Engineering design process (19.01%)
- Process (12.81%)
- New product development (10.33%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Engineering design process, Process, New product development, Design process and Artificial intelligence.
Claudia Eckert combines subjects such as Context, Management science, Engineering management, Terminology and Product with her study of Engineering design process.
Her studies in Product integrate themes in fields like Truck and Systems engineering.
Her work in Process tackles topics such as Function which are related to areas like Benchmarking, Reverse engineering and Software engineering.
The concepts of her Design process study are interwoven with issues in Key, Engineering ethics, Risk analysis and Product engineering.
Her Artificial intelligence study incorporates themes from Machine learning and Malware.
Between 2014 and 2021, her most popular works were:
- Is Feature Selection Secure against Training Data Poisoning (201 citations)
- Deep Learning for Classification of Malware System Call Sequences (183 citations)
- Support vector machines under adversarial label contamination (130 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Programming language
Claudia Eckert mostly deals with Engineering design process, Artificial intelligence, Malware, Machine learning and Process.
Her research integrates issues of Management science, Terminology, Product, Design process and Component in her study of Engineering design process.
Her Artificial intelligence research is multidisciplinary, incorporating elements of Diagram, GRASP and Functional decomposition.
The Malware study combines topics in areas such as Executable, Support vector machine, Data structure, Feature selection and Asset.
Her Machine learning research incorporates elements of Functional analysis, Training set, Data mining and Product.
Her Process research focuses on Resource and how it relates to Empirical research, Decision support system and Knowledge management.
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