Daniel J. Nigrin

1.2k total citations
22 papers, 797 citations indexed

About

Daniel J. Nigrin is a scholar working on Health Information Management, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Daniel J. Nigrin has authored 22 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Information Management, 4 papers in Artificial Intelligence and 3 papers in General Health Professions. Recurrent topics in Daniel J. Nigrin's work include Electronic Health Records Systems (9 papers), Semantic Web and Ontologies (4 papers) and Biomedical Text Mining and Ontologies (2 papers). Daniel J. Nigrin is often cited by papers focused on Electronic Health Records Systems (9 papers), Semantic Web and Ontologies (4 papers) and Biomedical Text Mining and Ontologies (2 papers). Daniel J. Nigrin collaborates with scholars based in United States. Daniel J. Nigrin's 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 and has published in prestigious journals such as Science, New England Journal of Medicine and PEDIATRICS.

In The Last Decade

Daniel J. Nigrin

21 papers receiving 766 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel J. Nigrin United States 15 212 179 154 140 117 22 797
H C Chueh United States 10 338 1.6× 194 1.1× 63 0.4× 145 1.0× 307 2.6× 25 1.2k
Christopher Sharp United States 21 272 1.3× 355 2.0× 31 0.2× 318 2.3× 148 1.3× 63 1.4k
Salim Janmohamed United Kingdom 9 118 0.6× 111 0.6× 50 0.3× 86 0.6× 121 1.0× 13 684
Brecht Claerhout Spain 10 218 1.0× 168 0.9× 30 0.2× 61 0.4× 188 1.6× 31 827
Todd Lingren United States 19 239 1.1× 162 0.9× 137 0.9× 77 0.6× 393 3.4× 29 1.2k
Daniel J. Vreeman United States 17 274 1.3× 102 0.6× 59 0.4× 66 0.5× 305 2.6× 47 684
Terrence J Adam United States 18 115 0.5× 112 0.6× 42 0.3× 245 1.8× 211 1.8× 71 1.1k
David Kreda United States 9 412 1.9× 185 1.0× 95 0.6× 167 1.2× 180 1.5× 21 868
Scott P. Narus United States 16 336 1.6× 147 0.8× 30 0.2× 222 1.6× 149 1.3× 58 796
Rebecca Kush United States 14 204 1.0× 174 1.0× 28 0.2× 80 0.6× 205 1.8× 30 693

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
1.
Rea, Corinna J., Patrice Melvin, Andrew Capraro, et al.. (2017). The effect of an electronic health record-based tool on abnormal pediatric blood pressure recognition. Congenital Heart Disease. 12(4). 484–490. 19 indexed citations
2.
Bourgeois, Fabienne, Daniel J. Nigrin, & Marvin B. Harper. (2015). Preserving Patient Privacy and Confidentiality in the Era of Personal Health Records. PEDIATRICS. 135(5). e1125–e1127. 15 indexed citations
3.
Nigrin, Daniel J.. (2014). When 'Hacktivists' Target Your Hospital. New England Journal of Medicine. 371(5). 393–395. 17 indexed citations
4.
Weber, Griffin M., Sue Murphy, Andrew McMurry, et al.. (2009). The Shared Health Research Information Network (SHRINE): A Prototype Federated Query Tool for Clinical Data Repositories. Journal of the American Medical Informatics Association. 16(5). 624–630. 214 indexed citations
5.
Bourgeois, Fabienne, et al.. (2009). Mychildren's: integration of a personally controlled health record with a tethered patient portal for a pediatric and adolescent population.. PubMed. 2009. 65–9. 26 indexed citations
6.
Bourgeois, Fabienne, Patrick L. Taylor, S. Jean Emans, Daniel J. Nigrin, & Kenneth D. Mandl. (2008). Whose Personal Control? Creating Private, Personally Controlled Health Records for Pediatric and Adolescent Patients. Journal of the American Medical Informatics Association. 15(6). 737–743. 79 indexed citations
7.
Kohane, Isaac S., Kenneth D. Mandl, Patrick L. Taylor, et al.. (2007). Reestablishing the Researcher-Patient Compact. Science. 316(5826). 836–837. 92 indexed citations
8.
Simons, William Walter, et al.. (2006). Integration of the Personally Controlled Electronic Medical Record into a Regional and Data Exchange: A National Demonstration.. American Medical Informatics Association Annual Symposium. 2006. 1099.
9.
Quinn, Maryanne, Amy Fleischman, Bernard Rosner, Daniel J. Nigrin, & Joseph I. Wolfsdorf. (2006). Characteristics at diagnosis of type 1 diabetes in children younger than 6 years. The Journal of Pediatrics. 148(3). 366–371. 85 indexed citations
10.
Landrigan, Christopher P., Sharon Muret-Wagstaff, Vincent W. Chiang, et al.. (2002). Effect of a Pediatric Hospitalist System on Housestaff Education and Experience. Archives of Pediatrics and Adolescent Medicine. 156(9). 877–877. 49 indexed citations
11.
Riva, Alberto, Kenneth D. Mandl, Do Hoon Oh, et al.. (2001). The Personal Internetworked Notary and Guardian. International Journal of Medical Informatics. 62(1). 27–40. 16 indexed citations
12.
Nigrin, Daniel J. & Isaac S. Kohane. (2000). Temporal Expressiveness in Querying a Time-stamp--based Clinical Database. Journal of the American Medical Informatics Association. 7(2). 152–163. 25 indexed citations
13.
Rhee, Edward K., et al.. (2000). Impact of anatomic closure on somatic growth among small, asymptomatic children with secundum atrial septal defect. The American Journal of Cardiology. 85(12). 1472–1475. 32 indexed citations
14.
Nigrin, Daniel J. & Isaac S. Kohane. (2000). Glucoweb: a case study of secure, remote biomonitoring and communication.. PubMed. 610–4. 9 indexed citations
15.
Nigrin, Daniel J. & Isaac S. Kohane. (1999). Scaling a data retrieval and mining application to the enterprise-wide level.. PubMed. 901–5. 10 indexed citations
16.
Nigrin, Daniel J. & Isaac S. Kohane. (1998). GrowthCalc: An Anthropometric Calculator Accessible via the World Wide Web 667. Pediatric Research. 43. 116–116. 1 indexed citations
17.
Nigrin, Daniel J., et al.. (1998). Data mining by clinicians.. PubMed. 957–61. 22 indexed citations
18.
Nigrin, Daniel J.. (1998). ATRAS: a decision support application layered on the W3-EMRS architecture.. PubMed. 52 Pt 1. 40–4. 1 indexed citations
19.
North, Richard B., et al.. (1992). Patient-interactive, computer-controlled neurological stimulation system: clinical efficacy in spinal cord stimulator adjustment. Journal of neurosurgery. 76(6). 967–972. 33 indexed citations
20.
North, Richard B., et al.. (1992). Automated ‘pain drawing’ analysis by computer-controlled, patient-interactive neurological stimulation system. Pain. 50(1). 51–57. 46 indexed citations

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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