Jonathan Mortensen
Impact in
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
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- Mobile Crowdsensing and Crowdsourcing
Papers in ⓘ
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- Semantic Web and Ontologies 11
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- Biomedical Text Mining and Ontologies 10
- Bioinformatics and Genomic Networks 3
- Co-authors
- Mark A. Musen (12 shared papers)Natalya F. Noy (10 shared papers)Nigam H. Shah (3 shared papers)Todd Ferris (1 shared paper)Paea LePendu (1 shared paper)Rave Harpaz (1 shared paper)Srinivasan Iyer (1 shared paper)Tanya Podchiyska (1 shared paper)
- Journals
- Scientific Reports (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Journal of Biomedical Informatics (1 paper)Cell (1 paper)Journal of Biomedical Semantics (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Jonathan Mortensen
17 papers receiving 539 citations
Peers
Comparison fields: 5 of 116
- Toxicology 59
- Computer Science Applications 56
- Health Information Management 41
- Artificial Intelligence 184
- Molecular Biology 277
Countries citing papers authored by Jonathan Mortensen
This map shows the geographic impact of Jonathan Mortensen'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 Jonathan Mortensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Mortensen more than expected).
Fields of papers citing papers by Jonathan Mortensen
This network shows the impact of papers produced by Jonathan Mortensen. 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 Jonathan Mortensen. The network helps show where Jonathan Mortensen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Mortensen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 153 | |
| 2 | 2013 | 124 | |
| 3 | 2018 | 98 | |
| 4 | 2014 | 44 | |
| 5 | Crowdsourcing the verification of relationships in biomedical ontologies. | 2013 | 37 |
| 6 | 2013 | 28 | |
| 7 | Applications of ontology design patterns in biomedical ontologies. | 2012 | 15 |
| 8 | Crowdsourcing Ontology Verification. | 2013 | 9 |
| 9 | 2016 | 8 | |
| 10 | Ontology design pattern language expressivity requirements | 2012 | 8 |
| 11 | 2013 | 6 | |
| 12 | 2013 | 6 | |
| 13 | Modest use of ontology design patterns in a repository of biomedical ontologies | 2012 | 6 |
| 14 | An empirically derived taxonomy of errors in SNOMED CT. | 2014 | 5 |
| 15 | Developing crowdsourced ontology engineering tasks: an iterative process | 2013 | 5 |
| 16 | Comparing Pharmacologic Classes in NDF-RT and SNOMED CT | 2010 | 4 |
| 17 | 2015 | 1 | |
| 18 | 2022 | 0 |
About Jonathan Mortensen
Jonathan Mortensen is a scholar working on Artificial Intelligence, Molecular Biology, Computer Science Applications, Information Systems and Health Information Management, having authored 18 papers that have together received 557 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Biomedical Text Mining and Ontologies (10 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Service-Oriented Architecture and Web Services (3 papers), Bioinformatics and Genomic Networks (3 papers), Open Source Software Innovations (2 papers), Electronic Health Records Systems (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Toxicology (59 citations), Computer Science Applications (56 citations), Health Information Management (41 citations), Artificial Intelligence (184 citations) and Molecular Biology (277 citations). Jonathan Mortensen has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Mark A. Musen, Natalya F. Noy, Nigam H. Shah, Todd Ferris, Paea LePendu, Rave Harpaz, Srinivasan Iyer, Tanya Podchiyska, Anna Bauer‐Mehren and Søren Brunak. Their work appears in journals such as Scientific Reports, Clinical Pharmacology & Therapeutics, Journal of Biomedical Informatics, Cell and Journal of Biomedical Semantics.
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.