Brian Hazlehurst

1.6k total citations
42 papers, 970 citations indexed

About

Brian Hazlehurst is a scholar working on Public Health, Environmental and Occupational Health, Health Information Management and Physiology. According to data from OpenAlex, Brian Hazlehurst has authored 42 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 9 papers in Health Information Management and 9 papers in Physiology. Recurrent topics in Brian Hazlehurst's work include Electronic Health Records Systems (9 papers), Smoking Behavior and Cessation (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Brian Hazlehurst is often cited by papers focused on Electronic Health Records Systems (9 papers), Smoking Behavior and Cessation (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Brian Hazlehurst collaborates with scholars based in United States, India and Canada. Brian Hazlehurst's co-authors include Paul Gorman, Carmit K. McMullen, Dean F. Sittig, Edwin Hutchins, Stephen King, John P. Mullooly, Allison L. Naleway, Victor J. Stevens, David Carrell and Paul Coplan and has published in prestigious journals such as American Journal of Epidemiology, CHEST Journal and American Journal of Preventive Medicine.

In The Last Decade

Brian Hazlehurst

41 papers receiving 924 citations

Peers

Brian Hazlehurst

HIM

PHEOH

GHP

Olga Kostopoulou United Kingdom

Judith W. Dexheimer United States

Judith Logan United States

Seth Powsner United States

José F. Arocha Canada

Laurie L. Novak United States

Tim Benson United Kingdom

Gunnar Nilsson Sweden

Nicholas R. Hardiker United Kingdom

Simon C. Mathews United States

Olga Kostopoulou United Kingdom

Brian Hazlehurst

213 ×1.0

HIM

206 ×1.0

PHEOH

271 ×1.5

GHP

111 ×0.7

97 ×0.7

Citations per year, relative to Brian Hazlehurst Brian Hazlehurst (= 1×) peers Olga Kostopoulou

Countries citing papers authored by Brian Hazlehurst

Since Specialization

Citations

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

Fields of papers citing papers by Brian Hazlehurst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Hazlehurst

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Hazlehurst. A scholar is included among the top collaborators of Brian Hazlehurst 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 Brian Hazlehurst. Brian Hazlehurst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Green, Carla A., et al.. (2019). Development of an algorithm to identify inpatient opioid‐related overdoses and oversedation using electronic data. Pharmacoepidemiology and Drug Safety. 28(8). 1138–1142. 7 indexed citations

Green, Carla A., Nancy Perrin, Brian Hazlehurst, et al.. (2019). Identifying and classifying opioid‐related overdoses: A validation study. Pharmacoepidemiology and Drug Safety. 28(8). 1127–1137. 53 indexed citations

Bailey, Steffani R., John Heintzman, Miguel Marino, et al.. (2017). Smoking-Cessation Assistance: Before and After Stage 1 Meaningful Use Implementation. American Journal of Preventive Medicine. 53(2). 192–200. 19 indexed citations

Stevens, Victor J., Leif I. Solberg, Steffani R. Bailey, et al.. (2015). Assessing Trends in Tobacco Cessation in Diverse Patient Populations. Nicotine & Tobacco Research. 18(3). 275–280. 9 indexed citations

Hazlehurst, Brian, Stephen E. Kurtz, Andrew L. Masica, et al.. (2015). CER Hub: An informatics platform for conducting comparative effectiveness research using multi-institutional, heterogeneous, electronic clinical data. International Journal of Medical Informatics. 84(10). 763–773. 16 indexed citations

Hazlehurst, Brian. (2015). When I say … distributed cognition. Medical Education. 49(8). 755–756. 6 indexed citations

Hsiao, David K., et al.. (2014). Using the CER Hub to ensure data quality in a multi-institution smoking cessation study. Journal of the American Medical Informatics Association. 21(6). 1129–1135. 10 indexed citations

Hazlehurst, Brian, Jean M. Lawrence, William T. Donahoo, et al.. (2014). Automating Assessment of Lifestyle Counseling in Electronic Health Records. American Journal of Preventive Medicine. 46(5). 457–464. 17 indexed citations

Millard, Mark, et al.. (2013). Impact of an EMR Documentation Template as Clinical Decision Support for Outpatient Asthma Management. CHEST Journal. 144(4). 68A–68A. 2 indexed citations

10.

Hazlehurst, Brian, et al.. (2012). The EmrAdapter Tool: A General-Purpose Translater for Electronic Clinical Data.. AMIA. 2 indexed citations

11.

Hazlehurst, Brian, et al.. (2009). Automating quality measurement: a system for scalable, comprehensive, and routine care quality assessment.. PubMed. 2009. 229–33. 3 indexed citations

12.

Hazlehurst, Brian, Allison L. Naleway, & John P. Mullooly. (2009). Detecting possible vaccine adverse events in clinical notes of the electronic medical record. Vaccine. 27(14). 2077–2083. 33 indexed citations

13.

Smith, David H., et al.. (2008). Lower visual acuity predicts worse utility values among patients with type 2 diabetes. Quality of Life Research. 17(10). 1277–1284. 34 indexed citations

14.

Hazlehurst, Brian, Paul Gorman, & Carmit K. McMullen. (2007). Distributed cognition: An alternative model of cognition for medical informatics. International Journal of Medical Informatics. 77(4). 226–234. 81 indexed citations

15.

Hazlehurst, Brian, Carmit K. McMullen, & Paul Gorman. (2007). Distributed cognition in the heart room: How situation awareness arises from coordinated communications during cardiac surgery. Journal of Biomedical Informatics. 40(5). 539–551. 127 indexed citations

16.

Hazlehurst, Brian, et al.. (2006). Orienting frames and private routines: The role of cultural process in critical care safety. International Journal of Medical Informatics. 76. S129–S135. 12 indexed citations

17.

Hazlehurst, Brian, Dean F. Sittig, Victor J. Stevens, et al.. (2005). Natural Language Processing in the Electronic Medical RecordAssessing Clinician Adherence to Tobacco Treatment Guidelines. American Journal of Preventive Medicine. 29(5). 434–439. 63 indexed citations

18.

Hazlehurst, Brian. (2005). MediClass: A System for Detecting and Classifying Encounter-based Clinical Events in Any Electronic Medical Record. Journal of the American Medical Informatics Association. 12(5). 517–529. 86 indexed citations

19.

Sittig, Dean F., Stephen King, & Brian Hazlehurst. (2001). A survey of patient–provider e-mail communication: what do patients think?. International Journal of Medical Informatics. 61(1). 71–80. 70 indexed citations

20.

Hazlehurst, Brian. (1994). Fishing for cognition : An ethnography of fishing practice in a community on the west coast of Sweden. Medical Entomology and Zoology. 13 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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