Michael Halper

1.5k citations
83 papers · 1.1k indexed · h-index 21

Impact in

Papers in

Michael Halper

82 papers receiving 1.1k citations

Peers

Michael Halper
Comparison fields: 5 of 66
  • Artificial Intelligence 983
  • Language and Linguistics 245
  • Health Information Management 85
  • Molecular Biology 976
  • Issues, ethics and legal aspects 9
Replace Boontawee Suntisrivaraporn with:
Boontawee Suntisrivaraporn Thailand
Anni Coden United States
R. Stevens United Kingdom
Kazuma Hashimoto Japan
Bernhard Hollunder Germany
Michael Hartung Germany
Maryam Habibi Switzerland
Vojtěch Svátek Czechia
Lorenza Romano Italy
Philip Dart Australia
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Citations per field
00.5×10×13.6×
Boontawee Suntisrivaraporn · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael Halper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Halper Line = papers co-authored together Michael Halper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200683
2 200682
3 201547
4 201145
5
Analysis of error concentrations in SNOMED.
200742
6 201140
7 200335
8
Auditing the UMLS for redundant classifications.
200231
9 200930
10 200226
11 199926
12 201524
13 199924
14
Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies.
201324
15 200223
16 201323
17 200821
18 199821
19
A family-based framework for supporting quality assurance of biomedical ontologies in BioPortal.
201321
20 200820

About Michael Halper

Michael Halper is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Networks and Communications and Computational Theory and Mathematics, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (73 papers), Biomedical Text Mining and Ontologies (70 papers), Natural Language Processing Techniques (19 papers), Service-Oriented Architecture and Web Services (8 papers), linguistics and terminology studies (8 papers), Advanced Database Systems and Queries (8 papers), Rough Sets and Fuzzy Logic (7 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Artificial Intelligence (983 citations), Language and Linguistics (245 citations), Health Information Management (85 citations), Molecular Biology (976 citations) and Issues, ethics and legal aspects (9 citations). Michael Halper has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Yehoshua Perl, James Geller, Huanying Gu, Hua Min, Christopher Ochs, Kent A. Spackman, Yue Wang, Gai Elhanan, George Hripcsak and James J. Cimino. Their work appears in journals such as Journal of Biomedical Informatics, Artificial Intelligence in Medicine, Journal of the American Medical Informatics Association, Methods of Information in Medicine 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.

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