Daniel J. Nigrin

1.2k citations
22 papers · 797 indexed · h-index 15
Topics
Electronic Health Records Systems (9 papers)Semantic Web and Ontologies (4 papers)Biomedical Text Mining and Ontologies (2 papers)
Partner nations
United States

In The Last Decade

Daniel J. Nigrin

21 papers receiving 766 citations

Peers

Daniel J. Nigrin
Comparison fields: 5 of 84
  • Health Information Management 212
  • Public Health, Environmental and Occupational Health 179
  • Genetics 154
  • General Health Professions 140
  • Molecular Biology 117
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C. Safran United States
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Citations per field
00.5×9.6×
Werner O. Hackl · 1×
Citations per year

Countries citing papers authored by Daniel J. Nigrin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Nigrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Nigrin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Nigrin. A scholar is included among the top collaborators of Daniel J. Nigrin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Nigrin. Daniel J. Nigrin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 15
3 17
4 214
5
Mychildren's: integration of a personally controlled health record with a tethered patient portal for a pediatric and adolescent population.
26
6 79
7 92
8
Integration of the Personally Controlled Electronic Medical Record into a Regional and Data Exchange: A National Demonstration.
0
9 85
10 49
11 16
12 25
13 32
14
Glucoweb: a case study of secure, remote biomonitoring and communication.
9
15
Scaling a data retrieval and mining application to the enterprise-wide level.
10
16 1
17
Data mining by clinicians.
22
18
ATRAS: a decision support application layered on the W3-EMRS architecture.
1
19 33
20 46

About Daniel J. Nigrin

Daniel J. Nigrin is a scholar working on Medical Terminology, Health Information Management and Anesthesiology and Pain Medicine, having authored 22 papers that have together received 797 indexed citations. Recurring topics across this work include Electronic Health Records Systems (9 papers), Semantic Web and Ontologies (4 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Health Information Management (212 citations), Medical Terminology (6 citations) and Anesthesiology and Pain Medicine (66 citations). Daniel J. Nigrin has collaborated with scholars based in United States. Frequent co-authors include Isaac S. Kohane, Kenneth D. Mandl, Douglas MacFadden, Patrick L. Taylor, Susanne Churchill, Andrew McMurry, Sue Murphy, Griffin M. Weber, Fabienne Bourgeois and Amy Fleischman. Their work appears in journals such as Science, New England Journal of Medicine and PEDIATRICS.

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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