Jonathan Mortensen

931 citations
21 papers · 656 · h-index 11

Impact in

Papers in

Jonathan Mortensen

20 papers receiving 634 citations

Peers

Jonathan Mortensen
Comparison fields: 5 of 116
  • Toxicology 51
  • Computer Science Applications 79
  • Health Information Management 32
  • Artificial Intelligence 221
  • Management Science and Operations Research 67
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Citations per year

Countries citing papers authored by Jonathan Mortensen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013158
2 2013133
3 2018107
4 201448
5
Crowdsourcing the verification of relationships in biomedical ontologies.
201344
6 201340
7 201319
8 200916
9
Applications of ontology design patterns in biomedical ontologies.
201216
10
Crowdsourcing Ontology Verification.
201311
11 201610
12 20139
13
Ontology design pattern language expressivity requirements
20129
14
Modest use of ontology design patterns in a repository of biomedical ontologies
20127
15 20136
16
An empirically derived taxonomy of errors in SNOMED CT.
20146
17
Developing crowdsourced ontology engineering tasks: an iterative process
20135
18 20145
19
Comparing Pharmacologic Classes in NDF-RT and SNOMED CT
20104
20 20152

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 21 papers that have together received 656 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 (5 papers), Bioinformatics and Genomic Networks (3 papers), Service-Oriented Architecture and Web Services (3 papers), Data Quality and Management (2 papers), Electronic Health Records Systems (2 papers) and Open Source Software Innovations (2 papers). The work is most often cited by research in Toxicology (51 citations), Computer Science Applications (79 citations), Health Information Management (32 citations), Artificial Intelligence (221 citations) and Management Science and Operations Research (67 citations). Jonathan Mortensen has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Mark A. Musen, Natalya F. Noy, Nigam H. Shah, Anna Bauer‐Mehren, Rave Harpaz, Tanya Podchiyska, Srinivasan Iyer, Todd Ferris, Paea LePendu and Paul R. Alexander. Their work appears in journals such as Journal of Biomedical Semantics, Journal of the American Medical Informatics Association, Clinical Pharmacology & Therapeutics, Cell and Scientific Reports.

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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