Philip V. Ogren

3.1k total citations · 1 hit paper
25 papers, 2.1k citations indexed

About

Philip V. Ogren is a scholar working on Molecular Biology, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, Philip V. Ogren has authored 25 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Artificial Intelligence and 3 papers in Language and Linguistics. Recurrent topics in Philip V. Ogren's work include Biomedical Text Mining and Ontologies (22 papers), Natural Language Processing Techniques (16 papers) and Topic Modeling (15 papers). Philip V. Ogren is often cited by papers focused on Biomedical Text Mining and Ontologies (22 papers), Natural Language Processing Techniques (16 papers) and Topic Modeling (15 papers). Philip V. Ogren collaborates with scholars based in United States, Vietnam and Japan. Philip V. Ogren's co-authors include Christopher G. Chute, Guergana Savova, James Masanz, Sunghwan Sohn, Jiaping Zheng, Lawrence Hunter, Kevin Bretonnel Cohen, Guergana Savova, William A. Baumgartner and H. L. Johnson and has published in prestigious journals such as BMC Bioinformatics, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

In The Last Decade

Philip V. Ogren

25 papers receiving 2.0k citations

Hit Papers

Mayo clinical Text Analysis and Knowledge Extraction Syst... 2010 2026 2015 2020 2010 400 800 1.2k

Peers

Philip V. Ogren
Comparison fields: 5 of 109
  • Artificial Intelligence 1.6k
  • Molecular Biology 1.5k
  • Health Information Management 247
  • Management Science and Operations Research 91
  • Genetics 91
Replace James Masanz with:
James Masanz United States
Marcelo Fiszman United States
Guergana Savova United States
Stefan Schulz Germany
Feichen Shen United States
C Friedman United States
Brett R. South United States
Majid Rastegar-Mojarad United States
Pierre Zweigenbaum France
Imre Solti United States
James Masanz United States View profile →
Citations per field, relative to Philip V. Ogren
Philip V. Ogren · 1×
Citations per year, relative to Philip V. Ogren
Philip V. Ogren · 1×

Countries citing papers authored by Philip V. Ogren

Since Specialization
Citations

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

Fields of papers citing papers by Philip V. Ogren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip V. Ogren. 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 Philip V. Ogren. The network helps show where Philip V. Ogren may publish in the future.

Co-authorship network of co-authors of Philip V. Ogren

This figure shows the co-authorship network connecting the top 25 collaborators of Philip V. Ogren. A scholar is included among the top collaborators of Philip V. Ogren 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 Philip V. Ogren. Philip V. Ogren 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
# Work Indexed citations
1 20
2
Coordination resolution in biomedical texts
4
3
Improving Syntactic Coordination Resolution using Language Modeling
5
4
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications breakdown →
1330
5 9
6 42
7 18
8 56
9 92
10
System Evaluation on a Named Entity Corpus from Clinical Notes
16
11 96
12
Empirical data on corpus design and usage in biomedical natural language processing.
20
13 26
14 57
15 25
16
A formal approach to integrating synonyms with a reference terminology.
8
17
A randomized controlled trial of concept based indexing of Web page content.
6
18
A randomized double-blind controlled trial of automated term dissection.
10
19
Barriers to the clinical implementation of compositionality.
12
20
A large-scale evaluation of terminology integration characteristics.
5

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

Rankless by CCL
2026