Joseph Kannry

4.0k total citations
69 papers, 2.0k citations indexed

About

Joseph Kannry is a scholar working on Health Information Management, Organizational Behavior and Human Resource Management and General Health Professions. According to data from OpenAlex, Joseph Kannry has authored 69 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Health Information Management, 20 papers in Organizational Behavior and Human Resource Management and 16 papers in General Health Professions. Recurrent topics in Joseph Kannry's work include Electronic Health Records Systems (43 papers), Healthcare Systems and Technology (20 papers) and Biomedical Text Mining and Ontologies (9 papers). Joseph Kannry is often cited by papers focused on Electronic Health Records Systems (43 papers), Healthcare Systems and Technology (20 papers) and Biomedical Text Mining and Ontologies (9 papers). Joseph Kannry collaborates with scholars based in United States, Canada and Denmark. Joseph Kannry's co-authors include André Kushniruk, Elizabeth M. Borycki, Harvey J. Murff, David Mann, Thomas McGinn, Marc M. Triola, Gilad J. Kuperman, Lauren McCullagh, Anastasia Sofianou and Omri Gottesman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and Medical Care.

In The Last Decade

Joseph Kannry

67 papers receiving 1.9k citations

Peers

Joseph Kannry
Paul Dexter United States
Alison Edwards United States
Guilherme Del Fiol United States
Esther Hing United States
Peter J. Embí United States
Lisa M. Kern United States
Rajeev Chaudhry United States
Deborah Williams United States
Paul Dexter United States
Joseph Kannry
Citations per year, relative to Joseph Kannry Joseph Kannry (= 1×) peers Paul Dexter

Countries citing papers authored by Joseph Kannry

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Kannry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Kannry

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Kannry. A scholar is included among the top collaborators of Joseph Kannry 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 Joseph Kannry. Joseph Kannry 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.
Vleck, Tielman Van, Lili Chan, Steven G. Coca, et al.. (2019). Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression. International Journal of Medical Informatics. 129. 334–341. 43 indexed citations
2.
Federman, Alex D., Lina Jandorf, Joseph S. DeLuca, et al.. (2018). Evaluation of a patient-centered after visit summary in primary care. Patient Education and Counseling. 101(8). 1483–1489. 5 indexed citations
3.
McNeely, Jennifer, Pritika C. Kumar, Traci Rieckmann, et al.. (2018). Barriers and facilitators affecting the implementation of substance use screening in primary care clinics: a qualitative study of patients, providers, and staff. Addiction Science & Clinical Practice. 13(1). 8–8. 170 indexed citations
4.
Brady, Joanne E., Anthony Yartel, Alex D. Federman, et al.. (2016). Uptake of hepatitis C screening, characteristics of patients tested, and intervention costs in the BEST‐C study. Hepatology. 65(1). 44–53. 20 indexed citations
5.
O’Conor, Rachel, et al.. (2016). Characteristics of outpatient clinical summaries in the United States. International Journal of Medical Informatics. 94. 75–80. 15 indexed citations
6.
Thyvalikakath, Thankam, et al.. (2016). The Chief Clinical Informatics Officer (CCIO). Applied Clinical Informatics. 7(1). 143–176. 39 indexed citations
7.
Kim, Min, Laura Rivera, Joseph Kannry, et al.. (2016). Usability Evaluation of a Clinical Decision Support System for Geriatric ED Pain Treatment. Applied Clinical Informatics. 7(1). 128–142. 18 indexed citations
8.
Dunn, Andrew, et al.. (2015). Improving transitions of care for patients on warfarin: The safe transitions anticoagulation report. Journal of Hospital Medicine. 10(9). 615–618. 6 indexed citations
9.
Borycki, Elizabeth M., André Kushniruk, Christian Nøhr, et al.. (2013). Usability Methods for Ensuring Health Information Technology Safety: Evidence-Based Approaches. VBN Forskningsportal (Aalborg Universitet). 20–27. 8 indexed citations
10.
Kushniruk, André, Christian Nøhr, Hiroshi Takeda, et al.. (2013). Usability Methods for Ensuring Health Information Technology Safety: Evidence-Based Approaches Contribution of the IMIA Working Group Health Informatics for Patient Safety. Yearbook of Medical Informatics. 22(1). 20–27. 29 indexed citations
11.
Kannry, Joseph & Marc S. Williams. (2013). Integration of genomics into the electronic health record: mapping terra incognita. Genetics in Medicine. 15(10). 757–760. 23 indexed citations
12.
Kannry, Joseph, David W. Bates, Tonya Hongsermeier, Michael Krall, & Thomas R. Yackel. (2012). The Life Cycle of Clinical Decision Support (CDS): CDS Theory and Practice from Request to Maintenance.. American Medical Informatics Association Annual Symposium. 2012(1). 3–4. 1 indexed citations
13.
Kannry, Joseph. (2011). Effect of E‐Prescribing Systems on Patient Safety. Mount Sinai Journal of Medicine A Journal of Translational and Personalized Medicine. 78(6). 827–833. 25 indexed citations
14.
Kannry, Joseph, et al.. (2007). Emergency Physicians' Perceptions of Health Information Exchange. Journal of the American Medical Informatics Association. 14(6). 700–705. 83 indexed citations
15.
Borycki, Elizabeth M., et al.. (2006). Use of Simulation Approaches in the Study of Clinician Workflow. PubMed Central. 2006. 61. 18 indexed citations
16.
Kushniruk, André, et al.. (2005). Technology induced error and usability: The relationship between usability problems and prescription errors when using a handheld application. International Journal of Medical Informatics. 74(7-8). 519–526. 198 indexed citations
17.
Murff, Harvey J. & Joseph Kannry. (2001). Physician Satisfaction with Two Order Entry Systems. Journal of the American Medical Informatics Association. 8(5). 499–509. 123 indexed citations
18.
Forman, Joel, et al.. (2000). Portable Digital Assistant Use in a Medicine Teaching Program. Europe PMC (PubMed Central). 1031–1031. 8 indexed citations
19.
Kannry, Joseph, et al.. (1996). Data-Mail: A Design for Electronic Consultation.. Europe PMC (PubMed Central). 838–838. 2 indexed citations
20.
Kannry, Joseph, Logan G. Wright, Mark A. Shifman, Samuel C. Silverstein, & Perry L. Miller. (1996). Portability Issues for a Structured Clinical Vocabulary: Mapping from Yale to the Columbia Medical Entities Dictionary. Journal of the American Medical Informatics Association. 3(1). 66–78. 20 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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