Christopher Ochs

34 papers receiving 377 citations

Peers

Christopher Ochs
Comparison fields: 5 of 30
  • Molecular Biology 332
  • Artificial Intelligence 87
  • Health Information Management 16
  • Computer Vision and Pattern Recognition 29
  • Health Informatics 2
Replace Sunil Kumar Sahu with:
Sunil Kumar Sahu India
Larry H. Smith United States
Małgorzata Marciniak Poland
Willie J. Rogers United States
Agnieszka Mykowiecka Poland
Meizhi Ju China
Nhung T. H. Nguyen United Kingdom
Huiwei Zhou China
Muhammad Nabeel Asim Germany
Anna Kupść Poland
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Ochs

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Ochs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher Ochs, 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 Christopher Ochs Line = papers co-authored together Christopher Ochs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201445
2 201433
3 201626
4 201726
5 201524
6
New abstraction networks and a new visualization tool in support of auditing the SNOMED CT content.
201223
7
Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies.
201322
8
A family-based framework for supporting quality assurance of biomedical ontologies in BioPortal.
201320
9 201618
10 201516
11
Deriving an abstraction network to support quality assurance in OCRe.
201215
12 201514
13
Auditing Redundant Import in Reuse of a Top Level Ontology for the Drug Discovery Investigations Ontology
201413
14 201711
15
Drug-drug Interaction Discovery Using Abstraction Networks for "National Drug File - Reference Terminology" Chemical Ingredients.
20159
16 20118
17
Tracking the Remodeling of SNOMED CT's Bacterial Infectious Diseases.
20168
18 20178
19 20166
20 20176

About Christopher Ochs

Christopher Ochs is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Nuclear Energy and Engineering, having authored 34 papers that have together received 398 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (32 papers), Semantic Web and Ontologies (8 papers), Data Visualization and Analytics (3 papers) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Molecular Biology (332 citations), Artificial Intelligence (87 citations), Health Information Management (16 citations), Computer Vision and Pattern Recognition (29 citations) and Health Informatics (2 citations). Christopher Ochs has collaborated with scholars based in United States, United Kingdom and Nigeria. Frequent co-authors include Yehoshua Perl, James Geller, Mark A. Musen, Michael H Halper, Ankur Agrawal, Gai Elhanan, Zhe He, Hua Min, George M. Hripcsak and Zhi Wei. Their work appears in journals such as Journal of Biomedical Informatics, Journal of the American Medical Informatics Association, Journal of Bioinformatics and Computational Biology, Applied Ontology and Methods of Information in Medicine.

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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