Phillips Owen

11 papers receiving 175 citations

Peers

Phillips Owen
Comparison fields: 5 of 64
  • Health Information Management 20
  • Health Informatics 4
  • Pediatrics, Perinatology and Child Health 43
  • Genetics 52
  • Family Practice 3
Replace Firouzeh Ghaffari with:
Firouzeh Ghaffari Iran
Markus Lundgren Sweden
Mohanad Mohammed South Africa
Deevakar Rogith United States
Paulo Bandiera‐Paiva Brazil
Yaara Goldschmidt Israel
Umberto Tachinardi United States
Devanshi Shah Canada
Jason Ross United States
Dov Fox United States
Phillips Owen relative to Firouzeh Ghaffari Iran Firouzeh Ghaffari's profile →
Citations per field
00.5×3.1×
Firouzeh Ghaffari · 1×
Citations per year

Countries citing papers authored by Phillips Owen

Since Specialization
Citations

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

Fields of papers citing papers by Phillips Owen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillips Owen. 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 Phillips Owen. The network helps show where Phillips Owen may publish in the future.

Co-authors

The 25 scholars most cited alongside Phillips Owen, 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 Phillips Owen Line = papers co-authored together Phillips Owen links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202051
2 201143
3
Clinical practice and medical research: bridging the divide between the two cultures.
199525
4 201522
5 202015
6 20139
7 20115
8 20155
9 19913
10 20131
11 20201
12 20121
13 20120

About Phillips Owen

Phillips Owen is a scholar working on Health Information Management, Molecular Biology, Artificial Intelligence, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 181 indexed citations. Recurring topics across this work include Electronic Health Records Systems (5 papers), Biomedical Text Mining and Ontologies (3 papers), Prenatal Screening and Diagnostics (2 papers), Genomics and Rare Diseases (2 papers), Machine Learning in Healthcare (2 papers), Clinical practice guidelines implementation (2 papers), Health Policy Implementation Science (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Health Information Management (20 citations), Health Informatics (4 citations), Pediatrics, Perinatology and Child Health (43 citations), Genetics (52 citations) and Family Practice (3 citations). Phillips Owen has collaborated with scholars based in United States. Frequent co-authors include Chris Bizon, Charles Schmitt, Ketan K. Mane, Kirk C. Wilhelmsen, Kenneth Gersing, Ricardo Pietrobon, Bruce M. Burchett, Jonathan S. Berg, Lori Ramkissoon and Bradford C. Powell. Their work appears in journals such as Clinical and Translational Science, Bioinformatics, American Journal of Ophthalmology, Genetics in Medicine and Journal of Biomedical Informatics.

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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