Christopher Ochs

543 total citations
38 papers, 447 citations indexed

About

Christopher Ochs is a scholar working on Molecular Biology, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, Christopher Ochs has authored 38 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 34 papers in Artificial Intelligence and 10 papers in Language and Linguistics. Recurrent topics in Christopher Ochs's work include Biomedical Text Mining and Ontologies (38 papers), Semantic Web and Ontologies (33 papers) and linguistics and terminology studies (10 papers). Christopher Ochs is often cited by papers focused on Biomedical Text Mining and Ontologies (38 papers), Semantic Web and Ontologies (33 papers) and linguistics and terminology studies (10 papers). Christopher Ochs collaborates with scholars based in United States, United Kingdom and Canada. Christopher Ochs's co-authors include Yehoshua Perl, James Geller, Michael Halper, Huanying Gu, Mark A. Musen, James T. Case, Zhe He, Ankur Agrawal, Gai Elhanan and Hua Min and has published in prestigious journals such as Annals of the New York Academy of Sciences, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

In The Last Decade

Christopher Ochs

38 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Ochs United States 14 408 384 104 26 23 38 447
J E Rogers United Kingdom 9 202 0.5× 184 0.5× 36 0.3× 11 0.4× 20 0.9× 11 280
Joachim Wermter Germany 13 259 0.6× 374 1.0× 22 0.2× 15 0.6× 4 0.2× 21 454
Koldo Gojenola Spain 12 184 0.5× 377 1.0× 24 0.2× 24 0.9× 6 0.3× 63 443
Maite Oronoz Spain 11 209 0.5× 299 0.8× 15 0.1× 20 0.8× 7 0.3× 51 378
Jeremy Rogers United Kingdom 9 157 0.4× 147 0.4× 22 0.2× 6 0.2× 10 0.4× 18 200
O Bodenreider United States 6 202 0.5× 182 0.5× 11 0.1× 7 0.3× 14 0.6× 8 264
Marta Villegas Spain 10 119 0.3× 346 0.9× 82 0.8× 9 0.3× 29 382
Jun'ichi Tsujii Japan 5 255 0.6× 214 0.6× 4 0.0× 24 0.9× 5 0.2× 7 365
Bryan Rink United States 12 174 0.4× 445 1.2× 10 0.1× 10 0.4× 1 0.0× 20 487
Martin Duneld Sweden 7 156 0.4× 235 0.6× 6 0.1× 13 0.5× 2 0.1× 14 280

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-authorship network of co-authors of Christopher Ochs

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Ochs. A scholar is included among the top collaborators of Christopher Ochs 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 Christopher Ochs. Christopher Ochs 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.
Perl, Yehoshua, Yongqun He, Christopher Ochs, et al.. (2021). Visual comprehension and orientation into the COVID-19 CIDO ontology. Journal of Biomedical Informatics. 120. 103861–103861. 3 indexed citations
3.
Chen, Yan, et al.. (2018). Complex overlapping concepts: An effective auditing methodology for families of similarly structured BioPortal ontologies. Journal of Biomedical Informatics. 83. 135–149. 3 indexed citations
4.
Chen, Ling, et al.. (2017). Quality assurance of chemical ingredient classification for the National Drug File – Reference Terminology. Journal of Biomedical Informatics. 73. 30–42. 6 indexed citations
5.
Ochs, Christopher, James T. Case, & Yehoshua Perl. (2017). Analyzing structural changes in SNOMED CT’s Bacterial infectious diseases using a visual semantic delta. Journal of Biomedical Informatics. 67. 101–116. 5 indexed citations
6.
Perl, Yehoshua, et al.. (2017). Relating Complexity and Error Rates of Ontology Concepts. Methods of Information in Medicine. 56(3). 200–208. 10 indexed citations
7.
Ochs, Christopher, et al.. (2017). Multi-layer Big Knowledge Visualization Scheme for Comprehending Neoplasm Ontology Content. 107. 127–134. 3 indexed citations
8.
Elhanan, Gai, Christopher Ochs, José L. V. Mejino, et al.. (2017). From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies. Artificial Intelligence in Medicine. 79. 9–14. 8 indexed citations
9.
Ochs, Christopher, et al.. (2017). An empirical analysis of ontology reuse in BioPortal. Journal of Biomedical Informatics. 71. 165–177. 21 indexed citations
10.
Ochs, Christopher, James Geller, Yehoshua Perl, & Mark A. Musen. (2016). A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies. Journal of Biomedical Informatics. 62. 90–105. 25 indexed citations
11.
Ochs, Christopher, Zhe He, James Geller, et al.. (2016). Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies. Journal of Biomedical Informatics. 61. 63–76. 18 indexed citations
12.
Ochs, Christopher, Yehoshua Perl, Gai Elhanan, & James T. Case. (2016). A descriptive delta for identifying changes in SNOMED CT. 1747. 1 indexed citations
13.
Ochs, Christopher, Yehoshua Perl, James Geller, et al.. (2015). Summarizing and visualizing structural changes during the evolution of biomedical ontologies using a Diff Abstraction Network. Journal of Biomedical Informatics. 56. 127–144. 15 indexed citations
14.
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
15.
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
16.
Halper, Michael, Huanying Gu, Yehoshua Perl, & Christopher Ochs. (2015). Abstraction networks for terminologies: Supporting management of “big knowledge”. Artificial Intelligence in Medicine. 64(1). 1–16. 47 indexed citations
17.
Ochs, Christopher, et al.. (2015). Drug-drug Interaction Discovery Using Abstraction Networks for "National Drug File - Reference Terminology" Chemical Ingredients.. PubMed. 2015. 973–82. 9 indexed citations
18.
Ochs, Christopher, Yehoshua Perl, & James Geller. (2013). BLUSNO: A System for Orientation, Visualization, and Quality Assurance of SNOMED CT Using Abstraction Networks.. 128–129. 1 indexed citations
19.
Geller, James, et al.. (2012). New abstraction networks and a new visualization tool in support of auditing the SNOMED CT content.. PubMed. 2012. 237–46. 23 indexed citations
20.
Ochs, Christopher, James Geller, & Yehoshua Perl. (2011). A RELATIONSHIP-CENTRIC HYBRID INTERFACE FOR BROWSING AND AUDITING THE UMLS. Journal of Integrated Design and Process Science. 15(4). 3–25. 3 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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