Bret Nestor

1.5k citations
12 papers · 723 indexed · 1 hit paper · h-index 7
Topics
Machine Learning in Healthcare (4 papers)3D Printing in Biomedical Research (4 papers)Artificial Intelligence in Healthcare (2 papers)

In The Last Decade

Bret Nestor

12 papers receiving 709 citations

Hit Papers

A complex human gut microbiome cultured in an anaerobic i...20192026202120232019200400600

Peers

Bret Nestor
Comparison fields: 5 of 102
  • Biomedical Engineering 442
  • Molecular Biology 298
  • Oncology 134
  • Infectious Diseases 70
  • Surgery 52
Replace Elizabeth Calamari with:
Elizabeth Calamari United States
Ben Swenor United States
Matthew D. Estes United States
Cicely W. Fadel United States
Matthew DiSalvo United States
Cayetano Pleguezuelos‐Manzano Netherlands
Jens Puschhof Netherlands
Nicholas W. Baetz United States
Katarina Radulović Serbia
Bret Nestor relative to Elizabeth Calamari United States Elizabeth Calamari's profile →
Citations per field
00.5×1.5×
Elizabeth Calamari · 1×
Citations per year

Countries citing papers authored by Bret Nestor

Since Specialization
Citations

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

Fields of papers citing papers by Bret Nestor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bret Nestor

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 10
2 6
3 3
4 12
5
Preparing a Clinical Support Model for Silent Mode in General Internal Medicine
5
6 6
7
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
5
8
A complex human gut microbiome cultured in an anaerobic intestine-on-a-chipbreakdown →
601
9 27
10 8
11 3
12 37

About Bret Nestor

Bret Nestor is a scholar working on Health Informatics, Health Information Management and Modeling and Simulation, having authored 12 papers that have together received 723 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), 3D Printing in Biomedical Research (4 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (16 citations), Biomedical Engineering (442 citations) and Oncology (134 citations). Bret Nestor has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Sasan Jalili‐Firoozinezhad, Elizabeth Calamari, Richard Novák, Donald E. Ingber, Katherine E. Gregory, Amir Bein, Dennis L. Kasper, Diogo M. Camacho, Cicely W. Fadel and David T. Breault. Their work appears in journals such as RSC Advances, Nature Biomedical Engineering and Journal of Visualized Experiments.

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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