Mike Uschold

5.4k total citations · 1 hit paper
19 papers, 3.0k citations indexed

About

Mike Uschold is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mike Uschold has authored 19 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Mike Uschold's work include Semantic Web and Ontologies (15 papers), Service-Oriented Architecture and Web Services (10 papers) and Advanced Database Systems and Queries (4 papers). Mike Uschold is often cited by papers focused on Semantic Web and Ontologies (15 papers), Service-Oriented Architecture and Web Services (10 papers) and Advanced Database Systems and Queries (4 papers). Mike Uschold collaborates with scholars based in United Kingdom, United States and Australia. Mike Uschold's 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 and has published in prestigious journals such as Decision Support Systems, Robotics and Autonomous Systems and Data & Knowledge Engineering.

In The Last Decade

Mike Uschold

17 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ontologies: principles, methods and applications

1996 1.9k citations Mike Uschold, Michael Grüninger The Knowledge Engineering Review profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mike Uschold United Kingdom	11	2.2k	1.5k	762	466	452	19	3.0k
V. Richard Benjamins Netherlands	20	3.2k 1.4×	2.0k 1.3×	686 0.9×	588 1.3×	732 1.6×	57	4.3k
Mariano Fernández‐López Spain	14	2.2k 1.0×	1.4k 0.9×	514 0.7×	641 1.4×	368 0.8×	35	3.0k
Nicola Guarino Italy	28	3.4k 1.5×	1.7k 1.1×	599 0.8×	810 1.7×	802 1.8×	87	4.4k
Michael Grüninger Canada	24	3.4k 1.5×	2.3k 1.5×	1.2k 1.6×	722 1.5×	668 1.5×	103	4.7k
John Domingue United Kingdom	31	2.0k 0.9×	2.2k 1.4×	757 1.0×	202 0.4×	783 1.7×	209	3.5k
B. Chandrasekaran United States	27	2.3k 1.0×	867 0.6×	306 0.4×	277 0.6×	1.1k 2.4×	124	3.9k
Evren Sirin United States	24	3.3k 1.5×	2.6k 1.7×	708 0.9×	682 1.5×	1.2k 2.6×	48	4.3k
Óscar Corcho Spain	29	2.7k 1.2×	2.0k 1.3×	498 0.7×	563 1.2×	1.1k 2.5×	240	4.1k
Aldo Gangemi Italy	31	2.4k 1.1×	1.1k 0.7×	304 0.4×	686 1.5×	346 0.8×	175	3.2k
A.T. Schreiber Netherlands	16	2.1k 0.9×	1.2k 0.8×	318 0.4×	396 0.8×	569 1.3×	42	2.9k

Countries citing papers authored by Mike Uschold

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

1.

Cruz, Isabel F., Stefan Decker, Dean Allemang, et al.. (2006). The Semantic Web - ISWC 2006: 5th International Semantic Web Conference, ISWC 2006, Athens, GA, USA, November 5-9, 2006, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 12(10). 5 indexed citations

2.

Uschold, Mike. (2005). An ontology research pipeline. Applied Ontology. 1(1). 13–16. 5 indexed citations

3.

Barrett, Tom, David Jones, Jun Yuan, & Mike Uschold. (2005). Applying Semantic Web technology to the integration of corporate information. International Journal of Web Engineering and Technology. 2(2/3). 231–231. 3 indexed citations

4.

Kalfoglou, Yannis, et al.. (2004). Semantic Interoperability and Integration. ePrints Soton (University of Southampton). 30 indexed citations

5.

Schlenoff, Craig, et al.. (2004). Ontology-based methods for enhancing autonomous vehicle path planning. Robotics and Autonomous Systems. 49(1-2). 123–133. 23 indexed citations

6.

Bundy, Alan & Mike Uschold. (2004). The Use of Typed Lambda Calculus for Requirements Capture in the Domain of Ecological Modelling. OpenGrey (Institut de l'Information Scientifique et Technique).

7.

Schlenoff, Craig, et al.. (2003). Using ontologies to aid navigation planning in autonomous vehicles. The Knowledge Engineering Review. 18(3). 243–255. 20 indexed citations

8.

Uschold, Mike. (2002). A semantic continuum on the semantic web. The Knowledge Engineering Review. 17(1). 87–91. 7 indexed citations

9.

Uschold, Mike, et al.. (1999). Three Approaches for Knowledge Sharing: A Comparative Analysis. 10 indexed citations

10.

Uschold, Mike. (1999). A Framework for Understanding and Classifying Ontology Applications. 265 indexed citations

11.

Uschold, Mike, et al.. (1998). The Enterprise Ontology. The Knowledge Engineering Review. 13(1). 31–89. 494 indexed citations

12.

Uschold, Mike & Austin Tate. (1998). Putting ontologies to use. The Knowledge Engineering Review. 13(1). 1–3. 26 indexed citations

13.

Uschold, Mike. (1998). Knowledge level modelling: concepts and terminology. The Knowledge Engineering Review. 13(1). 5–29. 109 indexed citations

14.

Uschold, Mike, M. J. R. Healy, Keith Williamson, Peter E. Clark, & Steven Woods. (1998). Ontology reuse and application. 65 indexed citations

15.

Uschold, Mike & Michael Grüninger. (1996). Ontologies: principles, methods and applications. The Knowledge Engineering Review. 11(2). 93–136. 1947 indexed citations breakdown →

16.

Uschold, Mike. (1996). The use of the typed lambda calculus for guiding naive users in the representation and acquisition of part-whole knowledge. Data & Knowledge Engineering. 20(3). 385–404. 7 indexed citations

17.

Uschold, Mike. (1993). Expert systems: A decision support approach with applications in management and finance Authors: Klein & Methlie. Decision Support Systems. 10(1). 67–69.

18.

Robertson, Dave, Alan Bundy, Mike Uschold, & Robert Muetzelfeldt. (1989). The ECO program construction system: ways of increasing its representational power and their effects on the user interface. International Journal of Man-Machine Studies. 31(1). 1–26. 10 indexed citations

19.

Robertson, David, et al.. (1986). The ECO browser. 143–156. 6 indexed citations

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.

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