What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Software
- The Internet
His primary areas of investigation include Management science, Knowledge management, Ontology, Operations research and Simulated annealing.
As a part of the same scientific study, he usually deals with the Management science, concentrating on Variety and frequently concerns with Taxonomy, User interface and Theory of computation.
His Knowledge management research includes themes of Abstraction, Business process reengineering and Technical feasibility.
His research integrates issues of Software, Service and Semantic Web in his study of Ontology.
His Simulated annealing research incorporates themes from Contrast and Computational model.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Field and Protocol.
His most cited work include:
- Tools for Inventing Organizations: Toward a Handbook of Organizational Processes (678 citations)
- Supporting conflict resolution in cooperative design systems (212 citations)
- Improved Upper Limit on the Neutrino Mass from a Direct Kinematic Method by KATRIN (211 citations)
What are the main themes of his work throughout his whole career to date?
Mark Klein spends much of his time researching Knowledge management, Interdependence, Management science, Protocol and Risk analysis.
His Knowledge management study combines topics in areas such as Concurrent engineering, Resource, Exception handling and Argumentation theory.
His work in Exception handling addresses subjects such as Software engineering, which are connected to disciplines such as Collaborative design.
He has researched Argumentation theory in several fields, including Collective intelligence and Knowledge sharing.
His Management science study incorporates themes from Simulated annealing and Complex system.
His Protocol research includes elements of Computer security, Private information retrieval, Distributed computing, Field and Mathematical optimization.
He most often published in these fields:
- Knowledge management (22.37%)
- Interdependence (16.67%)
- Management science (15.79%)
What were the highlights of his more recent work (between 2013-2021)?
- KATRIN (9.21%)
- Electron (6.58%)
- Nuclear physics (6.14%)
In recent papers he was focusing on the following fields of study:
Mark Klein mainly investigates KATRIN, Electron, Nuclear physics, Neutrino and Collective intelligence.
While the research belongs to areas of Neutrino, he spends his time largely on the problem of Mass scale, intersecting his research to questions surrounding Tritium and Astroparticle physics.
His Collective intelligence research is within the category of Knowledge management.
His Knowledge management research is multidisciplinary, incorporating elements of Online community and Engineering ethics.
His Social computing study also includes
- Data science most often made with reference to Filter,
- Open innovation which is related to area like Machine learning and Artificial intelligence.
His Crowds research integrates issues from Key and Shared space.
Between 2013 and 2021, his most popular works were:
- Improved Upper Limit on the Neutrino Mass from a Direct Kinematic Method by KATRIN (211 citations)
- From problems to protocols: Towards a negotiation handbook (31 citations)
- High-speed idea filtering with the bag of lemons (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Software
- The Internet
Mark Klein mainly focuses on Nuclear physics, KATRIN, Neutrino, Collective intelligence and Protocol.
In general Nuclear physics, his work in Electron is often linked to Magnetic flux, Beam diameter and Superconducting magnet linking many areas of study.
His research integrates issues of Social computing and Data science in his study of Collective intelligence.
His Protocol study combines topics in areas such as Quality, Space, Risk analysis and Management science.
The study incorporates disciplines such as Scalability, Mathematical optimization and Data mining in addition to Quality.
His Management science study incorporates themes from Testbed, Multi-agent system and Decision support system.
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