Danton Char

42 papers receiving 1.6k citations

Hit Papers

Implementing Machine Learning in Health Care — Addressing Ethical Challenges 2018 · 862 citations
8622018202620202023250500750

Peers

Danton Char
Comparison fields: 5 of 141
  • Health Informatics 771
  • Health Information Management 176
  • Safety Research 144
  • Radiology, Nuclear Medicine and Imaging 368
  • Family Practice 27
Replace David Magnus with:
David Magnus United States
Mark Sendak United States
Melissa D. McCradden Canada
Oishi Banerjee United States
Suzanne Tamang United States
Majed S. Al Yami Saudi Arabia
Abdulrahman Alshaya Saudi Arabia
Myura Nagendran United Kingdom
Mohammed Alrashed Saudi Arabia
Jiming Xu China
Danton Char relative to David Magnus United States David Magnus's profile →
Citations per field
00.5×1.6×
David Magnus · 1×
Citations per year

Countries citing papers authored by Danton Char

Since Specialization
Citations

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

Fields of papers citing papers by Danton Char

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Implementing Machine Learning in Health Care — Addressing Ethical Challenges
Hit paper breakdown →
2018862
2 2020209
3 2023148
4 202080
5 201329
6 201828
7 201626
8 202025
9 202020
10 200519
11 201618
12 202414
13 201914
14 201312
15 202312
16 20158
17 20238
18 20178
19 20258
20 20247

About Danton Char

Danton Char is a scholar working on Health Informatics, Radiological and Ultrasound Technology, Anesthesiology and Pain Medicine, Developmental Neuroscience and Pediatrics, Perinatology and Child Health, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (12 papers), Genomics and Rare Diseases (7 papers), Congenital Heart Disease Studies (6 papers), Mechanical Circulatory Support Devices (5 papers), Family and Patient Care in Intensive Care Units (5 papers), Ethics in Clinical Research (5 papers), Prenatal Screening and Diagnostics (4 papers) and Ethics and Legal Issues in Pediatric Healthcare (3 papers). The work is most often cited by research in Health Informatics (771 citations), Health Information Management (176 citations), Safety Research (144 citations), Radiology, Nuclear Medicine and Imaging (368 citations) and Family Practice (27 citations). Danton Char has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David Magnus, Nigam H. Shah, Michael D. Abràmoff, Chris Feudtner, Nilsa Loyo‐Berríos, Ziad Obermeyer, William H. Maisel, Malvina Eydelman, Michelle E. Tarver and Sandra Soo‐Jin Lee. Their work appears in journals such as Pediatric Critical Care Medicine, The American Journal of Bioethics, Pediatric Transplantation, PEDIATRICS and Pediatric Anesthesia.

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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