What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Software
Ingo Weber mainly investigates Blockchain, Business process, Business process management, Business process modeling and Computer security.
The study incorporates disciplines such as Computer architecture, Emerging technologies, Distributed computing, Transaction data and Software in addition to Blockchain.
His studies in Business process integrate themes in fields like Orchestration, Database and Software engineering.
His Business process management research includes themes of Artifact-centric business process model, Knowledge management and Process management.
His Business process modeling study integrates concerns from other disciplines, such as Theoretical computer science, Data mining and Cloud computing.
His Computer security research includes elements of Duration and Commit.
His most cited work include:
- A Taxonomy of Blockchain-Based Systems for Architecture Design (307 citations)
- Devops: A Software Architect's Perspective (275 citations)
- Untrusted business process monitoring and execution using blockchain (247 citations)
What are the main themes of his work throughout his whole career to date?
Ingo Weber mainly focuses on Business process, Business process management, Software engineering, Blockchain and Process modeling.
His Business process research is multidisciplinary, relying on both Web service, Database and Process management.
His work on Process mining as part of general Business process management research is often related to Inherent risk, thus linking different fields of science.
His Software engineering research is multidisciplinary, incorporating elements of Model-driven architecture, Software, Compiler and Semantics.
His work deals with themes such as Transaction data and Distributed computing, which intersect with Blockchain.
The various areas that Ingo Weber examines in his Process modeling study include Set, Data mining and Abstract process.
He most often published in these fields:
- Business process (55.74%)
- Business process management (37.70%)
- Software engineering (33.33%)
What were the highlights of his more recent work (between 2017-2021)?
- Business process (55.74%)
- Blockchain (30.05%)
- Software engineering (33.33%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Business process, Blockchain, Software engineering, Business process management and Cloud computing.
A large part of his Business process studies is devoted to Business process modeling.
His Smart contract study in the realm of Blockchain interacts with subjects such as Throughput.
His Software engineering research is multidisciplinary, incorporating perspectives in Business Process Model and Notation, Software and Compiler.
The concepts of his Business process management study are interwoven with issues in Routing, Event and Engineering management.
His studies deal with areas such as Computer security, Scalability and Rollback Operation as well as Cloud computing.
Between 2017 and 2021, his most popular works were:
- Blockchains for Business Process Management - Challenges and Opportunities (230 citations)
- Architecture for Blockchain Applications (56 citations)
- A Pattern Collection for Blockchain-based Applications (39 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Artificial intelligence
Business process, Blockchain, Software engineering, Business process management and Scalability are his primary areas of study.
His study in Business process is interdisciplinary in nature, drawing from both Model-driven architecture and Information system.
Ingo Weber usually deals with Blockchain and limits it to topics linked to Software system and Block.
Ingo Weber focuses mostly in the field of Software engineering, narrowing it down to topics relating to Business Process Model and Notation and, in certain cases, Operational semantics and Modeling language.
His research in Business process management intersects with topics in Knowledge management, Event, Face and DevOps.
His Scalability research integrates issues from Routing, Cloud computing and Distributed computing.
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