Jonathan E. Elias

1.3k citations
11 papers · 941 · 1 hit paper · h-index 6

Impact in

Papers in

Jonathan E. Elias

9 papers receiving 906 citations

Jonathan E. Elias's Hit Papers

ChatGPT and Other Large Language Models Are Double-edged Swords 2023 · 740 citations
7400+1+2Years since publication200400600

Peers

Jonathan E. Elias
Comparison fields: 5 of 91
  • Health Informatics 525
  • Health Information Management 56
  • Issues, ethics and legal aspects 12
  • Safety Research 67
  • Information Systems 131
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Countries citing papers authored by Jonathan E. Elias

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Elias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
ChatGPT and Other Large Language Models Are Double-edged Swords
Hit paper breakdown →
2023740
2 2023121
3 202129
4
Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden.
202017
5 202011
6
An Interprofessional Approach to Clinical Workflow Evaluation Focused on the Electronic Health Record Using Time motion Study Methods.
20198
7 20236
8 20245
9 20234
10 20250
11 20250

About Jonathan E. Elias

Jonathan E. Elias is a scholar working on Health Information Management, Health Informatics, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and General Health Professions, having authored 11 papers that have together received 941 indexed citations. Recurring topics across this work include Electronic Health Records Systems (6 papers), Artificial Intelligence in Healthcare and Education (3 papers), Radiology practices and education (1 paper), Healthcare cost, quality, practices (1 paper) and Pharmaceutical studies and practices (1 paper). The work is most often cited by research in Health Informatics (525 citations), Health Information Management (56 citations), Issues, ethics and legal aspects (12 citations), Safety Research (67 citations) and Information Systems (131 citations). Jonathan E. Elias has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include George Shih, Keith Hentel, Yiqiu Shen, Linda P. Moy, Beatriu Reig, Laura C. Heacock, Eugene Lucas, Zhaoyi Sun, Liyan Tang and Yifan Peng. Their work appears in journals such as Applied Clinical Informatics, Radiology, British Journal of Clinical Pharmacology, American Journal of Roentgenology and PubMed.

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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