Mike Uschold
- Artificial Intelligence top 0.5%
- Information Systems top 0.2%
- Management Information Systems top 0.5%
- Molecular Biology
- Computer Networks and Communications top 2%
- Co-authors
- Michael GrüningerYannis ZorgiosM. KingPeter E. ClarkM. J. R. HealyAustin TateKeith WilliamsonSteven Woods
- Topics
- Semantic Web and Ontologies (15 papers)Service-Oriented Architecture and Web Services (10 papers)Advanced Database Systems and Queries (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Mike Uschold
17 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 2.2k
- Information Systems 1.5k
- Management Information Systems 762
- Molecular Biology 466
- Computer Networks and Communications 452
Countries citing papers authored by Mike Uschold
This map shows the geographic impact of Mike Uschold's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mike Uschold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Uschold more than expected).
Fields of papers citing papers by Mike Uschold
This network shows the impact of papers produced by Mike Uschold. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mike Uschold. The network helps show where Mike Uschold may publish in the future.
Co-authorship network of co-authors of Mike Uschold
This figure shows the co-authorship network connecting the top 25 collaborators of Mike Uschold. A scholar is included among the top collaborators of Mike Uschold based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mike Uschold. Mike Uschold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | Semantic Interoperability and Integration | 30 |
| 5 | 23 | |
| 6 | The Use of Typed Lambda Calculus for Requirements Capture in the Domain of Ecological Modelling | 0 |
| 7 | 20 | |
| 8 | 7 | |
| 9 | Three Approaches for Knowledge Sharing: A Comparative Analysis | 10 |
| 10 | A Framework for Understanding and Classifying Ontology Applications | 265 |
| 11 | 494 | |
| 12 | 26 | |
| 13 | 109 | |
| 14 | Ontology reuse and application | 65 |
| 15 | Ontologies: principles, methods and applicationsbreakdown → | 1947 |
| 16 | 7 | |
| 17 | 0 | |
| 18 | 10 | |
| 19 | The ECO browser | 6 |
About Mike Uschold
Mike Uschold is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management, having authored 19 papers that have together received 3.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (15 papers), Service-Oriented Architecture and Web Services (10 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Management Information Systems (762 citations), Artificial Intelligence (2.2k citations) and Information Systems (1.5k citations). Mike Uschold has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Michael Grüninger, Yannis Zorgios, M. King, Peter E. Clark, M. J. R. Healy, Austin Tate, Keith Williamson, Steven Woods, Craig Schlenoff and Scott D. Smith. Their work appears in journals such as Decision Support Systems, Robotics and Autonomous Systems and Data & Knowledge Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.