Danton Char

44 papers receiving 1.8k citations

Danton Char's Hit Papers

Implementing Machine Learning in Health Care — Addressing Ethical Challenges 2018 · 1.0k citations
1.0k0+2+5Years since publication2505007501000

Peers

Danton Char
Comparison fields: 5 of 143
  • Health Informatics 804
  • Health Information Management 181
  • Safety Research 157
  • Radiology, Nuclear Medicine and Imaging 335
  • Medical Laboratory Technology 21
Replace David Magnus with:
David Magnus United States
Ravi B. Parikh United States
Mahiben Maruthappu United Kingdom
Mark Sendak United States
Trishan Panch United States
Majed S. Al Yami Saudi Arabia
Daniel A. Hashimoto United States
Abdulrahman Alshaya Saudi Arabia
Suzanne Tamang United States
Shuroug A. Alowais Saudi Arabia
Danton Char relative to David Magnus United States David Magnus's profile →
Citations per field
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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 48 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 →
20181028
2 2020253
3 2023175
4 202085
5 201340
6 201830
7 201630
8 202028
9 200522
10 202022
11 202418
12 201618
13 201915
14 201313
15 202512
16 202312
17 201710
18 20169
19 20238
20 20158

About Danton Char

Danton Char is a scholar working on Health Informatics, Surgery, Genetics, Biomedical Engineering and General Health Professions, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (12 papers), Genomics and Rare Diseases (7 papers), Mechanical Circulatory Support Devices (6 papers), Ethics in Clinical Research (4 papers), Healthcare cost, quality, practices (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Anesthesia and Sedative Agents (3 papers) and Family and Patient Care in Intensive Care Units (3 papers). The work is most often cited by research in Health Informatics (804 citations), Health Information Management (181 citations), Safety Research (157 citations), Radiology, Nuclear Medicine and Imaging (335 citations) and Medical Laboratory Technology (21 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, Malvina Eydelman, William H. Maisel, Michelle E. Tarver, Ziad Obermeyer and Sandra Soo‐Jin Lee. Their work appears in journals such as Pediatric Critical Care Medicine, Pediatric Transplantation, The American Journal of Bioethics, Journal of Thoracic and Cardiovascular Surgery and Anesthesia & Analgesia.

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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