What is she best known for?
The fields of study she is best known for:
- Database
- Programming language
- The Internet
The scientist’s investigation covers issues in Workflow, Workflow management system, Workflow engine, Workflow technology and Software engineering.
Her Workflow research incorporates elements of Business process, Data mining, Correctness, Conceptual model and Concurrency.
In the field of Data mining, her study on Visualization overlaps with subjects such as Generalization.
Maria E. Orlowska works mostly in the field of Workflow management system, limiting it down to topics relating to Event-driven process chain and, in certain cases, Process modeling and Data validation.
Her Workflow engine research incorporates themes from Programming language and World Wide Web.
Her Software engineering study incorporates themes from Synchronization and Business requirements.
Her most cited work include:
- Analyzing process models using graph reduction techniques (417 citations)
- Specification and validation of process constraints for flexible workflows (235 citations)
- On the Optimal Robot Routing Problem in Wireless Sensor Networks (209 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Workflow, Data mining, Software engineering, Workflow technology and Workflow management system.
Her Workflow study also includes
- Business process together with Process management,
- Knowledge management together with Engineering management.
Her Data mining study which covers Artificial intelligence that intersects with Machine learning.
Her studies examine the connections between Software engineering and genetics, as well as such issues in Database, with regards to Information retrieval.
Her studies deal with areas such as Event-driven process chain and Workflow engine as well as Workflow technology.
She brings together Workflow management system and Flexibility to produce work in her papers.
She most often published in these fields:
- Workflow (24.66%)
- Data mining (19.18%)
- Software engineering (18.26%)
What were the highlights of her more recent work (between 2005-2021)?
- Data mining (19.18%)
- Business process (14.61%)
- Process management (6.85%)
In recent papers she was focusing on the following fields of study:
Maria E. Orlowska focuses on Data mining, Business process, Process management, Workflow and Information retrieval.
Her Data mining research includes themes of Algorithm, Computation and Artificial intelligence.
Her study in the field of Artifact-centric business process model also crosses realms of Automation.
Her Process management research integrates issues from Business architecture and Business process modeling.
Her Workflow study focuses mostly on Workflow technology and Workflow management system.
Her Workflow technology research is multidisciplinary, incorporating perspectives in Knowledge management, Workflow engine, Exception handling and Asynchronous communication.
Between 2005 and 2021, her most popular works were:
- On the Optimal Robot Routing Problem in Wireless Sensor Networks (209 citations)
- RFID Data Management: Challenges and Opportunities (178 citations)
- Recency-based collaborative filtering (50 citations)
In her most recent research, the most cited papers focused on:
- Database
- Programming language
- The Internet
Data mining, Mathematical optimization, Travelling salesman problem, Wireless sensor network and Information retrieval are her primary areas of study.
In her study, Machine learning and Window is strongly linked to Artificial intelligence, which falls under the umbrella field of Data mining.
Maria E. Orlowska focuses mostly in the field of Mathematical optimization, narrowing it down to matters related to Mobile robot and, in some cases, Algorithm design.
Her Travelling salesman problem research includes elements of Computer network, Mobile computing and Distributed computing.
The Information filtering system research Maria E. Orlowska does as part of her general Information retrieval study is frequently linked to other disciplines of science, such as XPath, therefore creating a link between diverse domains of science.
Her biological study spans a wide range of topics, including Robot, Routing, Path and Global optimization.
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