Michael Halper

1.5k total citations
83 papers, 1.1k citations indexed

About

Michael Halper is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Michael Halper has authored 83 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 70 papers in Molecular Biology and 10 papers in Information Systems. Recurrent topics in Michael Halper's work include Semantic Web and Ontologies (73 papers), Biomedical Text Mining and Ontologies (70 papers) and Natural Language Processing Techniques (19 papers). Michael Halper is often cited by papers focused on Semantic Web and Ontologies (73 papers), Biomedical Text Mining and Ontologies (70 papers) and Natural Language Processing Techniques (19 papers). Michael Halper collaborates with scholars based in United States, Canada and United Kingdom. Michael Halper's co-authors include Yehoshua Perl, James Geller, Huanying Gu, Hua Min, Christopher Ochs, Yue Wang, Kent A. Spackman, Gai Elhanan, George Hripcsak and James J. Cimino and has published in prestigious journals such as Annals of the New York Academy of Sciences, IEEE Transactions on Knowledge and Data Engineering and Journal of the American Medical Informatics Association.

In The Last Decade

Michael Halper

82 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Halper United States 21 983 976 245 86 85 83 1.1k
Boontawee Suntisrivaraporn Thailand 10 315 0.3× 169 0.2× 18 0.1× 105 1.2× 18 0.2× 32 364
Anni Coden United States 12 569 0.6× 295 0.3× 7 0.0× 127 1.5× 39 0.5× 25 694
Michael Hartung Germany 12 276 0.3× 221 0.2× 4 0.0× 90 1.0× 9 0.1× 34 434
R. Stevens United Kingdom 12 264 0.3× 337 0.3× 4 0.0× 211 2.5× 6 0.1× 16 630
Maryam Habibi Switzerland 9 430 0.4× 322 0.3× 3 0.0× 66 0.8× 8 0.1× 17 554
Vojtěch Svátek Czechia 11 253 0.3× 89 0.1× 2 0.0× 130 1.5× 22 0.3× 76 336
Luis Tari United States 12 224 0.2× 336 0.3× 3 0.0× 39 0.5× 6 0.1× 31 502
Kazuma Hashimoto Japan 13 610 0.6× 68 0.1× 8 0.0× 84 1.0× 5 0.1× 32 667
Lorenza Romano Italy 10 588 0.6× 216 0.2× 4 0.0× 92 1.1× 3 0.0× 14 660
Philip Dart Australia 9 289 0.3× 32 0.0× 9 0.0× 118 1.4× 2 0.0× 18 383

Countries citing papers authored by Michael Halper

Since Specialization
Citations

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

Fields of papers citing papers by Michael Halper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Halper

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

All Works

20 of 20 papers shown
1.
Halper, Michael, et al.. (2023). Guidelines for the reuse of ontology content. Applied Ontology. 18(1). 5–29. 1 indexed citations
2.
Chen, Yan, Hua Min, P. Lloyd Hildebrand, et al.. (2020). Missing lateral relationships in top-level concepts of an ontology. BMC Medical Informatics and Decision Making. 20(S10). 305–305. 2 indexed citations
3.
Chen, Yan, et al.. (2015). Quality Assurance of UMLS Semantic Type Assignments Using SNOMED CT Hierarchies. Methods of Information in Medicine. 55(2). 158–165. 11 indexed citations
4.
Gu, Huanying, Yehoshua Perl, Michael Halper, et al.. (2015). Structural measures to track the evolution of SNOMED CT hierarchies. Journal of Biomedical Informatics. 57. 278–287. 2 indexed citations
5.
Ochs, Christopher, Yehoshua Perl, Michael Halper, James Geller, & Jane Lomax. (2015). Quality assurance of the gene ontology using abstraction networks. Journal of Bioinformatics and Computational Biology. 14(3). 1642001–1642001. 24 indexed citations
6.
Morrey, C. Paul, Yehoshua Perl, Michael Halper, Ling Chen, & Huanying Gu. (2012). A chemical specialty semantic network for the Unified Medical Language System. Journal of Cheminformatics. 4(1). 9–9. 9 indexed citations
7.
Wang, Yue, Michael Halper, Huanying Gu, et al.. (2011). Auditing complex concepts of SNOMED using a refined hierarchical abstraction network. Journal of Biomedical Informatics. 45(1). 1–14. 45 indexed citations
8.
Halper, Michael, et al.. (2011). Abstraction of complex concepts with a refined partial-area taxonomy of SNOMED. Journal of Biomedical Informatics. 45(1). 15–29. 40 indexed citations
9.
Morrey, C. Paul, James Geller, Michael Halper, & Yehoshua Perl. (2009). The Neighborhood Auditing Tool: A hybrid interface for auditing the UMLS. Journal of Biomedical Informatics. 42(3). 468–489. 30 indexed citations
10.
Chen, Yan, Huanying Gu, Yehoshua Perl, James Geller, & Michael Halper. (2008). Structural group auditing of a UMLS semantic type’s extent. Journal of Biomedical Informatics. 42(1). 41–52. 20 indexed citations
11.
Cohen, Barry H, et al.. (2008). Automated comparative auditing of NCIT genomic roles using NCBI. Journal of Biomedical Informatics. 41(6). 904–913. 13 indexed citations
12.
Wang, Yue, Michael Halper, Hua Min, et al.. (2006). Structural methodologies for auditing SNOMED. Journal of Biomedical Informatics. 40(5). 561–581. 83 indexed citations
13.
Zhang, Li, Michael Halper, Yehoshua Perl, James Geller, & James J. Cimino. (2005). Relationship Structures and Semantic Type Assignments of the UMLS Enriched Semantic Network. Journal of the American Medical Informatics Association. 12(6). 657–666. 9 indexed citations
14.
Zhang, Li, Yehoshua Perl, Michael Halper, James Geller, & George Hripcsak. (2004). A lexical metaschema for the UMLS semantic network. Artificial Intelligence in Medicine. 33(1). 41–59. 10 indexed citations
15.
Zhang, Li, Yehoshua Perl, Michael Halper, & James Geller. (2003). Designing metaschemas for the UMLS enriched semantic network. Journal of Biomedical Informatics. 36(6). 433–449. 8 indexed citations
16.
Zong, Chen, Yehoshua Perl, Michael Halper, James Geller, & Huanying Gu. (2002). Partitioning the UMLS semantic network. IEEE Transactions on Information Technology in Biomedicine. 6(2). 102–108. 26 indexed citations
17.
Perl, Yehoshua, et al.. (2002). The cohesive metaschema: a higher-level abstraction of the UMLS Semantic Network. Journal of Biomedical Informatics. 35(3). 194–212. 23 indexed citations
18.
Geller, James, Yehoshua Perl, Michael Halper, Chen Zong, & Huanying Gu. (2002). Evaluation and application of a semantic network partition. IEEE Transactions on Information Technology in Biomedicine. 6(2). 109–115. 5 indexed citations
19.
Halper, Michael. (1998). 3rd Ifcis International Conference on Cooperative Information Systems: Proceedings, August 20-22, 1998, New York City, New York, USA. IEEE Computer Society Press eBooks. 4 indexed citations
20.
Cimino, James J., et al.. (1996). Utilizing OODB schema modeling for vocabulary management.. Europe PMC (PubMed Central). 274–8. 19 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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