Nathan Brajer

5 papers receiving 378 citations

Peers

Nathan Brajer
Comparison fields: 5 of 86
  • Health Informatics 160
  • Health Information Management 70
  • Family Practice 28
  • Artificial Intelligence 157
  • Issues, ethics and legal aspects 5
Replace Muhammad Ghous with:
Muhammad Ghous Pakistan
Samson Mataraso United States
Jennifer C. Ginestra United States
H.M. Giannini United States
Shaun T Alfreds United States
Keith Morse United States
Nancy Gentry United States
Minjie Xia China
Modi Liu China
Arash Kia United States
Nathan Brajer relative to Muhammad Ghous Pakistan Muhammad Ghous's profile →
Citations per field
00.5×2.9×
Muhammad Ghous · 1×
Citations per year

Countries citing papers authored by Nathan Brajer

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Brajer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Nathan Brajer, 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 Nathan Brajer Line = papers co-authored together Nathan Brajer links everyone, so they are left out of the graph.

All Works

About Nathan Brajer

Nathan Brajer is a scholar working on Health Informatics, Family Practice, Geriatrics and Gerontology, Health Information Management and Artificial Intelligence, having authored 5 papers that have together received 384 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Sepsis Diagnosis and Treatment (2 papers), Frailty in Older Adults (1 paper), COVID-19 diagnosis using AI (1 paper), Artificial Intelligence in Healthcare (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Health Informatics (160 citations), Health Information Management (70 citations), Family Practice (28 citations), Artificial Intelligence (157 citations) and Issues, ethics and legal aspects (5 citations). Nathan Brajer has collaborated with scholars based in United States. Frequent co-authors include Mark Sendak, Suresh Balu, Michael Gao, Anthony Lin, Armando Bedoya, Cara O’Brien, Marshall Nichols, Joseph Futoma, Jessica Sperling and Sahil Sandhu. Their work appears in journals such as JAMA Network Open, Journal of Medical Internet Research, npj Digital Medicine, Medical Physics and JAMIA Open.

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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