Nathan Brajer

914 total citations
5 papers, 384 citations indexed

About

Nathan Brajer is a scholar working on Artificial Intelligence, Health Informatics and Epidemiology. According to data from OpenAlex, Nathan Brajer has authored 5 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Health Informatics and 2 papers in Epidemiology. Recurrent topics in Nathan Brajer's work include Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Nathan Brajer is often cited by papers focused on Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Nathan Brajer collaborates with scholars based in United States. Nathan Brajer's co-authors include Mark Sendak, Suresh Balu, Michael Gao, Armando Bedoya, Anthony Lin, Cara O’Brien, Marshall Nichols, Joseph Futoma, Jessica Sperling and Sahil Sandhu and has published in prestigious journals such as Journal of Medical Internet Research, Medical Physics and JAMA Network Open.

In The Last Decade

Nathan Brajer

5 papers receiving 378 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nathan Brajer United States	5	160	157	111	72	70	5	384
Muhammad Ghous Pakistan	3	191 1.2×	176 1.1×	155 1.4×	58 0.8×	54 0.8×	7	446
Samson Mataraso United States	10	109 0.7×	219 1.4×	218 2.0×	149 2.1×	83 1.2×	22	559
Shaun T Alfreds United States	8	52 0.3×	134 0.9×	117 1.1×	43 0.6×	101 1.4×	12	455
Nancy Gentry United States	3	59 0.4×	103 0.7×	67 0.6×	48 0.7×	85 1.2×	4	421
Minjie Xia China	7	57 0.4×	123 0.8×	79 0.7×	46 0.6×	84 1.2×	9	392
Jonathon Stewart Australia	9	127 0.8×	57 0.4×	35 0.3×	98 1.4×	33 0.5×	21	318
Jennifer C. Ginestra United States	6	73 0.5×	181 1.2×	216 1.9×	30 0.4×	49 0.7×	16	366
Modi Liu China	6	57 0.4×	119 0.8×	79 0.7×	46 0.6×	84 1.2×	7	377
Birju Patel United States	10	136 0.8×	126 0.8×	29 0.3×	96 1.3×	60 0.9×	18	449
Sehj Kashyap United States	6	117 0.7×	90 0.6×	42 0.4×	46 0.6×	66 0.9×	10	311

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-authorship network of co-authors of Nathan Brajer

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

All Works

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5 of 5 papers shown

1.

Wang, Yuqi, Xiang Li, Nathan Brajer, et al.. (2022). Towards optimal deep fusion of imaging and clinical data via a model‐based description of fusion quality. Medical Physics. 50(6). 3526–3537. 8 indexed citations

2.

Sendak, Mark, Michael Gao, Nathan Brajer, & Suresh Balu. (2020). Presenting machine learning model information to clinical end users with model facts labels. npj Digital Medicine. 3(1). 41–41. 123 indexed citations

3.

Sandhu, Sahil, Anthony Lin, Nathan Brajer, et al.. (2020). Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study. Journal of Medical Internet Research. 22(11). e22421–e22421. 97 indexed citations

4.

Brajer, Nathan, Michael Gao, Marshall Nichols, et al.. (2020). Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission. JAMA Network Open. 3(2). e1920733–e1920733. 88 indexed citations

5.

Bedoya, Armando, Joseph Futoma, Meredith E. Clement, et al.. (2020). Machine learning for early detection of sepsis: an internal and temporal validation study. JAMIA Open. 3(2). 252–260. 68 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.

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