What is he best known for?
The fields of study he is best known for:
- Software
- The Internet
- Software development
His primary areas of study are Software development, Knowledge management, Collaborative software, World Wide Web and Software engineering.
Software development is a subfield of Software that James D. Herbsleb tackles.
The Change management research James D. Herbsleb does as part of his general Knowledge management study is frequently linked to other disciplines of science, such as Survey data collection, therefore creating a link between diverse domains of science.
His Collaborative software research incorporates themes from Software system and Data science.
His World Wide Web research incorporates elements of Asynchronous communication and Set.
The study incorporates disciplines such as Global software, Software architecture, Conway's law, Sociotechnical system and Project management in addition to Software engineering.
His most cited work include:
- Two case studies of open source software development: Apache and Mozilla (1466 citations)
- Global software development (898 citations)
- An empirical study of speed and communication in globally distributed software development (849 citations)
What are the main themes of his work throughout his whole career to date?
James D. Herbsleb focuses on Software development, Knowledge management, Software, Software engineering and World Wide Web.
His studies in Software development integrate themes in fields like Data science and Process management.
The various areas that James D. Herbsleb examines in his Knowledge management study include Task and Process.
His research integrates issues of Transparency, Software deployment, Project management and Data mining in his study of Software.
The Software engineering study combines topics in areas such as Package development process, Software system, Conway's law, Extreme programming practices and Collaborative software.
His research in World Wide Web focuses on subjects like Set, which are connected to Mode.
He most often published in these fields:
- Software development (31.84%)
- Knowledge management (29.61%)
- Software (27.37%)
What were the highlights of his more recent work (between 2018-2021)?
- Software (27.37%)
- Data science (15.08%)
- Event (2.79%)
In recent papers he was focusing on the following fields of study:
James D. Herbsleb spends much of his time researching Software, Data science, Event, Social media and World Wide Web.
James D. Herbsleb combines topics linked to Software engineering with his work on Software.
His study explores the link between Software engineering and topics such as Quality that cross with problems in Transparency.
His Data science research integrates issues from Usage data, Commercial software, Software development and Scope.
His Software development study incorporates themes from Collaborative learning, Services computing and Information and Communications Technology.
His work deals with themes such as Agile software development, Variety and Knowledge management, which intersect with Event.
Between 2018 and 2021, his most popular works were:
- Designing Corporate Hackathons With a Purpose: The Future of Software Development (21 citations)
- Understanding Hackathons for Science: Collaboration, Affordances, and Outcomes (8 citations)
- BOTse: Bots in Software Engineering (Dagstuhl Seminar 19471). (5 citations)
In his most recent research, the most cited papers focused on:
- Software
- The Internet
- Operating system
James D. Herbsleb spends much of his time researching World Wide Web, Event, Knowledge management, Software and Set.
His World Wide Web research includes themes of Open source and Social group.
James D. Herbsleb combines subjects such as Social computing, Continuation, Diversity, Variety and Data science with his study of Event.
James D. Herbsleb combines Knowledge management and Working environment in his research.
His Software study combines topics in areas such as Social media, Services computing and Collaborative learning.
His studies deal with areas such as Action research, Public relations and Interpersonal ties as well as Set.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
