Daniel S. Thayer

1.3k citations
37 papers · 980 · h-index 17

Impact in

Papers in

Daniel S. Thayer

33 papers receiving 965 citations

Peers

Daniel S. Thayer
Comparison fields: 5 of 133
  • Public Health, Environmental and Occupational Health 261
  • Obstetrics and Gynecology 60
  • Endocrinology, Diabetes and Metabolism 113
  • Internal Medicine 19
  • Occupational Therapy 17
Replace Jamalludin Ab Rahman with:
Jamalludin Ab Rahman Malaysia
Jodie Avery Australia
Carlos A. Navarrete Chile
Danielle H. Morris United Kingdom
Cristine Homsi Jorge Ferreira Brazil
Kathy B. Bean France
Ping‐Ling Chen Taiwan
Kinfe Gebreegziabher Bishu United States
Peggo K. W. Lam Hong Kong
Wei Feng China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel S. Thayer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Thayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Thayer. 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 Daniel S. Thayer. The network helps show where Daniel S. Thayer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014169
2 2014106
3 201999
4 201696
5 202062
6 201652
7 202146
8 201535
9 201634
10 201926
11 201625
12 201524
13 201823
14 201623
15 201523
16 202121
17 202019
18 201917
19 201416
20 202010

About Daniel S. Thayer

Daniel S. Thayer is a scholar working on Public Health, Environmental and Occupational Health, Information Systems and Management, Health Information Management, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 980 indexed citations. Recurring topics across this work include Pregnancy and Medication Impact (6 papers), Maternal Mental Health During Pregnancy and Postpartum (4 papers), Pharmacological Effects and Toxicity Studies (3 papers), Big Data Technologies and Applications (3 papers), Data Visualization and Analytics (3 papers), Electronic Health Records Systems (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (261 citations), Obstetrics and Gynecology (60 citations), Endocrinology, Diabetes and Metabolism (113 citations), Internal Medicine (19 citations) and Occupational Therapy (17 citations). Daniel S. Thayer has collaborated with scholars based in United Kingdom, Denmark and Italy. Frequent co-authors include Sue E. Jordan, Anne Vinkel Hansen, Ester Garne, Helen M. Dolk, Caroline J. Brooks, Gareth Ivor Davies, Ronan Anthony Lyons, Aurora Puccini, Rosa Gini and Kari Klungsøyr. Their work appears in journals such as PLoS ONE, International Journal for Population Data Science, BMJ Open, European Journal of Clinical Pharmacology and BJOG An International Journal of Obstetrics & Gynaecology.

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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