Monica Crubézy

1.7k total citations · 1 hit paper
17 papers, 922 citations indexed

About

Monica Crubézy is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Monica Crubézy has authored 17 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Molecular Biology and 5 papers in Computer Networks and Communications. Recurrent topics in Monica Crubézy's work include Semantic Web and Ontologies (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Distributed and Parallel Computing Systems (3 papers). Monica Crubézy is often cited by papers focused on Semantic Web and Ontologies (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Distributed and Parallel Computing Systems (3 papers). Monica Crubézy collaborates with scholars based in United States, France and United Kingdom. Monica Crubézy's co-authors include Mark A. Musen, Ray W. Fergerson, Natasha Noy, Stefan Decker, Michael Sintek, Samson W. Tu, Natalya F. Noy, Holger Knublauch, Jennifer Vendetti and Zachary Pincus and has published in prestigious journals such as International Journal of Human-Computer Studies, IEEE Intelligent Systems and Knowledge and Information Systems.

In The Last Decade

Monica Crubézy

17 papers receiving 812 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.

Creating Semantic Web contents with Protege-2000

2001 595 citations Natasha Noy, Michael Sintek et al. IEEE Intelligent Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Monica Crubézy United States	10	620	375	253	180	88	17	922
Ian Niles United States	7	1.1k 1.8×	422 1.1×	221 0.9×	200 1.1×	99 1.1×	8	1.3k
Patrick Lambrix Sweden	16	653 1.1×	320 0.9×	487 1.9×	146 0.8×	61 0.7×	93	988
Matthew Horridge United Kingdom	17	1.2k 1.9×	550 1.5×	639 2.5×	277 1.5×	124 1.4×	54	1.5k
Erman Ayday United States	24	926 1.5×	263 0.7×	177 0.7×	320 1.8×	19 0.2×	92	1.5k
Marie desJardins United States	20	654 1.1×	208 0.6×	97 0.4×	182 1.0×	76 0.9×	97	1.2k
Jeff Heflin United States	13	1.1k 1.9×	586 1.6×	131 0.5×	614 3.4×	63 0.7×	73	1.4k
Pedro Rangel Henriques Portugal	14	423 0.7×	399 1.1×	32 0.1×	121 0.7×	80 0.9×	178	892
Flavio De Paoli Italy	14	242 0.4×	282 0.8×	69 0.3×	155 0.9×	73 0.8×	77	577
Von‐Wun Soo Taiwan	17	360 0.6×	127 0.3×	214 0.8×	64 0.4×	22 0.3×	93	922
Alessio Bechini Italy	13	285 0.5×	180 0.5×	46 0.2×	88 0.5×	67 0.8×	49	770

Countries citing papers authored by Monica Crubézy

Since Specialization

Citations

This map shows the geographic impact of Monica Crubézy'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 Monica Crubézy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Crubézy more than expected).

Fields of papers citing papers by Monica Crubézy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica Crubézy. 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 Monica Crubézy. The network helps show where Monica Crubézy may publish in the future.

Co-authorship network of co-authors of Monica Crubézy

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Crubézy. A scholar is included among the top collaborators of Monica Crubézy 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 Monica Crubézy. Monica Crubézy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Musen, Mark A., et al.. (2007). Component-Based Support for Building Knowledge-Acquisition Systems. 10 indexed citations

Cerri, Stefano A., et al.. (2006). The Grid Shared Desktop for CSCL. HAL (Le Centre pour la Communication Scientifique Directe). 1493–1499. 1 indexed citations

Jonquet, Clément, et al.. (2006). THE GRID SHARED DESKTOP: A BOOTSTRAPPING ENVIRONMENT FOR COLLABORATION. HAL (Le Centre pour la Communication Scientifique Directe). 3(4). 2 indexed citations

Abu‐Hanna, Ameen, Ronald Cornet, Nicolette F. de Keizer, Monica Crubézy, & Samson W. Tu. (2005). protégé as a vehicle for developing medical terminological systems. International Journal of Human-Computer Studies. 62(5). 639–663. 19 indexed citations

Crubézy, Monica, Martin J. O’Connor, David L. Buckeridge, Zachary Pincus, & Mark A. Musen. (2005). Ontology-Centered Syndromic Surveillance for Bioterrorism. IEEE Intelligent Systems. 20(5). 26–35. 37 indexed citations

Noy, Natalya F., Monica Crubézy, Ray W. Fergerson, et al.. (2003). Protégé-2000: An Open-Source Ontology-Development and Knowledge-Acquisition Environment: AMIA 2003 Open Source Expo. Europe PMC (PubMed Central). 2003. 953. 6 indexed citations

Buckeridge, David L., Mark A. Musen, Paul Switzer, & Monica Crubézy. (2003). An analytic framework fo space-time aberrancy detection in public health surveillance data.. PubMed. 120–4. 11 indexed citations

Gennari, John H., Mark A. Musen, Ray W. Fergerson, et al.. (2003). The evolution of Protégé: an environment for knowledge-based systems development. International Journal of Human-Computer Studies. 58(1). 89–123. 5 indexed citations

Crubézy, Monica, et al.. (2003). Configuring online problem-solving resources with the Internet Reasoning Service. IEEE Intelligent Systems. 18(2). 34–42. 11 indexed citations

10.

Fensel, Dieter, Enrico Motta, Frank van Harmelen, et al.. (2003). The Unified Problem-Solving Method Development Language UPML. Knowledge and Information Systems. 5(1). 83–131. 31 indexed citations

11.

Crubézy, Monica, Zachary Pincus, & Mark A. Musen. (2003). Mediating Knowledge between Application Components. 13 indexed citations

12.

Noy, Natalya F., Monica Crubézy, Ray W. Fergerson, et al.. (2003). Protégé-2000: an open-source ontology-development and knowledge-acquisition environment.. PubMed. 953–953. 150 indexed citations

13.

O’Connor, Martin J., et al.. (2003). BioSTORM: a system for automated surveillance of diverse data sources.. PubMed. 1071–1071. 10 indexed citations

14.

Musen, Mark A., Ray W. Fergerson, Natalya F. Noy, & Monica Crubézy. (2001). Protege-2000: A Plug-in Architecture to Support Knowledge Acquisition, Knowledge Visualization, and the Semantic Web. Europe PMC (PubMed Central). 1079–1079. 8 indexed citations

15.

Noy, Natasha, Michael Sintek, Stefan Decker, et al.. (2001). Creating Semantic Web contents with Protege-2000. IEEE Intelligent Systems. 16(2). 60–71. 595 indexed citations breakdown →

16.

Fensel, D.A., Monica Crubézy, Frank van Harmelen, & Ian Horrocks. (2000). OIL & UPML: A Unifying Framework for the Knowledge Web.. 8 indexed citations

17.

Crubézy, Monica, et al.. (1997). <title>Managing complex processing of medical image sequences by program supervision techniques</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3035. 614–625. 5 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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