James G. Mork

1.8k total citations
49 papers, 1.2k citations indexed

About

James G. Mork is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, James G. Mork has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 37 papers in Artificial Intelligence and 3 papers in Information Systems and Management. Recurrent topics in James G. Mork's work include Biomedical Text Mining and Ontologies (44 papers), Topic Modeling (25 papers) and Semantic Web and Ontologies (19 papers). James G. Mork is often cited by papers focused on Biomedical Text Mining and Ontologies (44 papers), Topic Modeling (25 papers) and Semantic Web and Ontologies (19 papers). James G. Mork collaborates with scholars based in United States, Denmark and Spain. James G. Mork's co-authors include Alan R. Aronson, Dina Demner‐Fushman, Susanne M. Humphrey, Antonio Jimeno Yepes, Marc Weeber, Willie J. Rogers, W. John Wilbur, Sonya E. Shooshan, Thomas C. Rindflesch and Aurélie Névéol and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Bioinformatics.

In The Last Decade

James G. Mork

49 papers receiving 1.1k citations

Peers

James G. Mork

CTM

HIM

François-Michel Lang United States

Susanne M. Humphrey United States

Dimitar Hristovski Slovenia

Manabu Torii United States

Graciela Rosemblat United States

Berry de Bruijn Canada

Naoto Usuyama United States

Meliha Yetisgen-Yildiz United States

Robert Tinn United States

Mathias Brochhausen United States

François-Michel Lang United States

James G. Mork

929 ×1.0

917 ×1.1

46 ×0.6

75 ×1.4

CTM

99 ×2.0

HIM

Citations per year, relative to James G. Mork James G. Mork (= 1×) peers François-Michel Lang

Countries citing papers authored by James G. Mork

Since Specialization

Citations

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

Fields of papers citing papers by James G. Mork

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. Mork. 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 James G. Mork. The network helps show where James G. Mork may publish in the future.

Co-authorship network of co-authors of James G. Mork

This figure shows the co-authorship network connecting the top 25 collaborators of James G. Mork. A scholar is included among the top collaborators of James G. Mork 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 James G. Mork. James G. Mork is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Islamaj, Rezarta, Chih-Hsuan Wei, Po‐Ting Lai, et al.. (2024). Assessing Artificial Intelligence (AI) Implementation for Assisting Gene Linking (at the National Library of Medicine). JAMIA Open. 8(1). ooae129–ooae129. 2 indexed citations

Mork, James G., et al.. (2021). A Neural Text Ranking Approach for Automatic MeSH Indexing.. CLEF (Working Notes). 302–312. 3 indexed citations

Rogers, Willie J., et al.. (2020). Chemical Entity Recognition for MEDLINE Indexing.. PubMed Central. 2020. 561–568. 1 indexed citations

Mork, James G., Alan R. Aronson, & Dina Demner‐Fushman. (2017). 12 years on – Is the NLM medical text indexer still useful and relevant?. Journal of Biomedical Semantics. 8(1). 8–8. 38 indexed citations

Read, Kevin, et al.. (2015). Sizing the Problem of Improving Discovery and Access to NIH-Funded Data: A Preliminary Study. PLoS ONE. 10(7). e0132735–e0132735. 23 indexed citations

Mork, James G., Dina Demner‐Fushman, Susan Schmidt, & Alan R. Aronson. (2014). Vocabulary Density Method for Customized Indexing of MEDLINE Journals.. AMIA. 2 indexed citations

Yepes, Antonio Jimeno, et al.. (2013). GeneRIF indexing: sentence selection based on machine learning. BMC Bioinformatics. 14(1). 171–171. 26 indexed citations

Yepes, Antonio Jimeno, Laura Plaza, James G. Mork, Alan R. Aronson, & Alberto Díaz. (2013). MeSH indexing based on automatically generated summaries. BMC Bioinformatics. 14(1). 208–208. 25 indexed citations

Demner‐Fushman, Dina, Swapna Abhyankar, Antonio Jimeno Yepes, et al.. (2012). NLM at TREC 2012 Medical Records Track. Text REtrieval Conference. 5 indexed citations

10.

Mork, James G., et al.. (2012). Structured Abstracts in MEDLINE: Implementation Based on a Retrospective Cohort Study.. AMIA. 1 indexed citations

11.

Yepes, Antonio Jimeno, et al.. (2011). A bottom-up approach to MEDLINE indexing recommendations. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations

12.

Mork, James G., et al.. (2011). A retrospective cohort study of structured abstracts in MEDLINE, 1992–2006. Journal of the Medical Library Association JMLA. 99(2). 160–163. 24 indexed citations

13.

Demner‐Fushman, Dina, James G. Mork, Sonya E. Shooshan, & Alan R. Aronson. (2010). UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text. Journal of Biomedical Informatics. 43(4). 587–594. 27 indexed citations

14.

Mork, James G., Olivier Bodenreider, Dina Demner‐Fushman, et al.. (2010). Extracting Rx information from clinical narrative. Journal of the American Medical Informatics Association. 17(5). 536–539. 25 indexed citations

15.

Névéol, Aurélie, Sonya E. Shooshan, Susanne M. Humphrey, James G. Mork, & Alan R. Aronson. (2008). A recent advance in the automatic indexing of the biomedical literature. Journal of Biomedical Informatics. 42(5). 814–823. 39 indexed citations

16.

Demner‐Fushman, Dina, Susanne M. Humphrey, Nicholas C. Ide, et al.. (2007). Combining Resources to Find Answers to Biomedical Questions.. Text REtrieval Conference. 29 indexed citations

17.

Aronson, Alan R., Susanne M. Humphrey, Nicholas C. Ide, et al.. (2004). Knowledge-Intensive and Statistical Approaches to the Retrieval and Annotation of Genomics MEDLINE Citations.. Text REtrieval Conference. 10 indexed citations

18.

Kayaalp, Mehmet, Alan R. Aronson, Susanne M. Humphrey, et al.. (2003). Methods for Accurate Retrieval of MEDLINE Citations in Functional Genomics.. Text REtrieval Conference. 17(3). 441–450. 10 indexed citations

19.

Nelson, Stuart J., Alan R. Aronson, W. John Wilbur, et al.. (1999). Automated Assignment of Medical Subject Headings. PubMed Central. 1127–1127. 5 indexed citations

20.

Wilbur, W. John, et al.. (1999). Analysis of biomedical text for chemical names: a comparison of three methods.. PubMed Central. 176–80. 42 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.

Explore authors with similar magnitude of impact