Daniel Essin

17 papers receiving 434 citations

Peers

Daniel Essin
Comparison fields: 5 of 82
  • Health Information Management 204
  • Issues, ethics and legal aspects 12
  • Medical Terminology 2
  • Health Informatics 8
  • Artificial Intelligence 158
Replace Mark L. Braunstein with:
Mark L. Braunstein United States
Eliot Kimber United Kingdom
Hans Åhlfeldt Sweden
Randolph C. Barrows United States
David Moner Spain
Edward Pattison-Gordon United States
Ram Chilukuri United States
Robert Baud Switzerland
Catalina Martínez-Costa Spain
Ajit Appari United States
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Citations per year

Countries citing papers authored by Daniel Essin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Essin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daniel Essin, 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 Daniel Essin Line = papers co-authored together Daniel Essin links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2001298
2 200538
3
HL7 document patient record architecture: an XML document architecture based on a shared information model.
199936
4
Intelligent processing of loosely structured documents as a strategy for organizing electronic health care records.
199320
5 199814
6 199314
7 199313
8 19979
9
Implementing a low-cost computer-based patient record: a controlled vocabulary reduces data base design complexity.
19954
10 19943
11 19903
12 19993
13
The Computer-Based Patient Record: Issues of Organization, Security and Confidentiality
19913
14 19882
15
Cefmetazole and cefonicid. Comparative efficacy and safety in preventing postoperative infections after vaginal and abdominal hysterectomy.
19902
16 19851
17 19841
18
The Confusion between an EMR and an EHR Continues
20121

About Daniel Essin

Daniel Essin is a scholar working on Artificial Intelligence, Health Information Management, Molecular Biology, Management Science and Operations Research and Computer Networks and Communications, having authored 18 papers that have together received 465 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Electronic Health Records Systems (5 papers), Biomedical Text Mining and Ontologies (4 papers), Data Quality and Management (4 papers), Advanced Database Systems and Queries (3 papers), Big Data and Business Intelligence (2 papers), Airway Management and Intubation Techniques (1 paper) and Injury Epidemiology and Prevention (1 paper). The work is most often cited by research in Health Information Management (204 citations), Issues, ethics and legal aspects (12 citations), Medical Terminology (2 citations), Health Informatics (8 citations) and Artificial Intelligence (158 citations). Daniel Essin has collaborated with scholars based in United States. Frequent co-authors include Liora Alschuler, Paul V. Biron, John Mattison, Robert H. Dolin, Calvin E Beebe, Tania M. Lincoln, Eliot Kimber, Thomas L. Lincoln, Lewis E. Zionts and Georgia Nikolopoulou. Their work appears in journals such as Journal of Clinical Monitoring and Computing, The Information Society, Methods of Information in Medicine, Journal of the American Medical Informatics Association and Critical Care Medicine.

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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