Sean M. Falconer

15 papers receiving 282 citations

Peers

Sean M. Falconer
Comparison fields: 5 of 39
  • Artificial Intelligence 257
  • Molecular Biology 92
  • Computational Theory and Mathematics 66
  • Information Systems 62
  • Electrical and Electronic Engineering 31
Replace Ernst–Erich Doberkat with:
Ernst–Erich Doberkat Germany
Hans Hüttel Denmark
David Domínguez-Sal Spain
Ramarathnam Venkatesan United States
Liutong Xu China
Fangfang Liu China
Natalia Vanetik Israel
Alexandre Riazanov Canada
Angelo Troina Italy
Liina Kamm Estonia
Sean M. Falconer relative to Ernst–Erich Doberkat Germany Ernst–Erich Doberkat's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sean M. Falconer

Since Specialization
Citations

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

Fields of papers citing papers by Sean M. Falconer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean M. Falconer. 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 Sean M. Falconer. The network helps show where Sean M. Falconer may publish in the future.

Co-authorship network of co-authors of Sean M. Falconer

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 58
2 5
3 23
4 3
5 37
6
WebProtégé: supporting the creation of ICD-11
2
7
Supporting the Collaborative Authoring of ICD-11 with WebProtégé.
12
8 6
9 0
10 13
11 71
12
Ontology Mapping - a User Survey
20
13 22
14 2
15
Towards understanding the needs of cognitive support
0
16
Hierarchical alignment of weighted directed acyclic graphs
1
17
Towards Understanding the Needs of Cognitive Support for Ontology Mapping.
22
18 1
19 1

About Sean M. Falconer

Sean M. Falconer is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design and Health Information Management, having authored 19 papers that have together received 299 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Biomedical Text Mining and Ontologies (6 papers) and Quantum Computing Algorithms and Architecture (4 papers). The work is most often cited by research in Artificial Intelligence (257 citations), Computational Theory and Mathematics (66 citations) and Hardware and Architecture (19 citations). Sean M. Falconer has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Dmitri Maslov, Natalya F. Noy, Michele Mosca, Oleg Golubitsky, Margaret‐Anne Storey, Mark A. Musen, Tania Tudorache, Adrien Coulet, Nigam H. Shah and Clément Jonquet. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Web Semantics and International Journal of Computational Geometry & Applications.

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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