Jonathan Bates

20 papers receiving 1.2k citations

Jonathan Bates's Hit Papers

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network 2018 · 1.0k citations
1.0k0+2+5Years since publication2505007501000

Peers

Jonathan Bates
Comparison fields: 5 of 125
  • Health Informatics 27
  • Statistics and Probability 117
  • Radiology, Nuclear Medicine and Imaging 257
  • Artificial Intelligence 380
  • Health Information Management 39
Replace Turgay Ayer with:
Turgay Ayer United States
Jared Katzman United States
Peggy Peissig United States
Jennifer A. Pacheco United States
Joseph A. Cruz Canada
Thomas Ganslandt Germany
Sunil Gupta Australia
Rodney Sparapani United States
C. Carl Jaffe United States
Guotong Xie China
Jonathan Bates relative to Turgay Ayer United States Turgay Ayer's profile →
Citations per field
00.5×2.6×
Turgay Ayer · 1×
Citations per year

Countries citing papers authored by Jonathan Bates

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Bates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
Hit paper breakdown →
20181033
2 201933
3 201529
4 201914
5 202013
6 202312
7 201711
8 20179
9 19808
10 20218
11 20116
12 19965
13 20174
14 20223
15 20093
16 20132
17 20182
18 20251
19 20101
20 20011

About Jonathan Bates

Jonathan Bates is a scholar working on Emergency Medicine, Computer Vision and Pattern Recognition, Computational Mechanics, General Health Professions and Geometry and Topology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV-related health complications and treatments (4 papers), 3D Shape Modeling and Analysis (3 papers), Medical Image Segmentation Techniques (2 papers), Morphological variations and asymmetry (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Obesity, Physical Activity, Diet (1 paper), Geometric Analysis and Curvature Flows (1 paper) and Primary Care and Health Outcomes (1 paper). The work is most often cited by research in Health Informatics (27 citations), Statistics and Probability (117 citations), Radiology, Nuclear Medicine and Imaging (257 citations), Artificial Intelligence (380 citations) and Health Information Management (39 citations). Jonathan Bates has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Uri Shaham, Jared Katzman, Yuval Kluger, Alexander Cloninger, Tingting Jiang, Cynthia Brandt, Julie A. Womack, Samah Fodeh, Amy C. Justice and Thomas M. Gill. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, Journal of the American Geriatrics Society, Epilepsy & Behavior, BMC Medical Research Methodology and Journal of the American Medical Informatics Association.

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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