Philip Hagedorn

420 total citations
29 papers, 281 citations indexed

About

Philip Hagedorn is a scholar working on Surgery, Health Information Management and General Health Professions. According to data from OpenAlex, Philip Hagedorn has authored 29 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Health Information Management and 9 papers in General Health Professions. Recurrent topics in Philip Hagedorn's work include Electronic Health Records Systems (10 papers), Clinical Reasoning and Diagnostic Skills (8 papers) and Healthcare Technology and Patient Monitoring (8 papers). Philip Hagedorn is often cited by papers focused on Electronic Health Records Systems (10 papers), Clinical Reasoning and Diagnostic Skills (8 papers) and Healthcare Technology and Patient Monitoring (8 papers). Philip Hagedorn collaborates with scholars based in United States, Belgium and Saudi Arabia. Philip Hagedorn's co-authors include Eric S. Kirkendall, S. Andrew Spooner, Patrick W. Brady, Judith W. Dexheimer, René Romero, Naveen Muthu, Thomas G. Heffron, Christopher P. Bonafide, Adam Dziorny and Massimo Asolati and has published in prestigious journals such as PEDIATRICS, Journal of the American Medical Informatics Association and Liver Transplantation.

In The Last Decade

Philip Hagedorn

28 papers receiving 275 citations

Peers

Philip Hagedorn

SURGE

HIM

GHP

EMS

PHEOH

Koh Y South Korea

Magalie Baudrant France

Isabel Cristina Gomes Brazil

Wright C. Pinson United States

Zemin Su United States

Adam V. Weizman Canada

Brian Reis United States

Elise Russo United States

Richard Thomson United Kingdom

Elizabeth H. Mack United States

Koh Y South Korea

Philip Hagedorn

64 ×0.7

SURGE

161 ×2.1

HIM

48 ×0.6

GHP

113 ×2.3

EMS

122 ×2.7

PHEOH

Citations per year, relative to Philip Hagedorn Philip Hagedorn (= 1×) peers Koh Y

Countries citing papers authored by Philip Hagedorn

Since Specialization

Citations

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

Fields of papers citing papers by Philip Hagedorn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Hagedorn

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Hagedorn. A scholar is included among the top collaborators of Philip Hagedorn 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 Philip Hagedorn. Philip Hagedorn 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

1.

Zackoff, Matthew, et al.. (2024). Usability Testing of Situation Awareness Clinical Decision Support in the Intensive Care Unit. Applied Clinical Informatics. 15(2). 327–334. 1 indexed citations

2.

Brady, Patrick W., et al.. (2023). Developing a machine learning model to detect diagnostic uncertainty in clinical documentation. Journal of Hospital Medicine. 18(5). 405–412. 8 indexed citations

3.

Timmons, Kristen, et al.. (2023). Improving communication of diagnostic uncertainty to families of hospitalized children. Diagnosis. 11(2). 186–191.

4.

Courter, Joshua, Philip Hagedorn, David Haslam, et al.. (2022). Aligning Provider Prescribing With Guidelines for Soft Tissue Infections. Pediatric Emergency Care. 38(3). e1063–e1068. 1 indexed citations

5.

Orenstein, Evan, Naveen Muthu, Juan D. Chaparro, et al.. (2021). Alert burden in pediatric hospitals: a cross-sectional analysis of six academic pediatric health systems using novel metrics. Journal of the American Medical Informatics Association. 28(12). 2654–2660. 16 indexed citations

6.

Brady, Patrick W., et al.. (2020). Uncertain diagnoses in a children’s hospital: patient characteristics and outcomes. Diagnosis. 8(3). 353–357. 7 indexed citations

7.

Simmons, Jeffrey M., et al.. (2020). Increasing Physician Reporting of Diagnostic Learning Opportunities. PEDIATRICS. 147(1). 17 indexed citations

8.

Kinnear, Benjamin, et al.. (2019). Integrating Bayesian reasoning into medical education using smartphone apps. Diagnosis. 6(2). 85–89. 6 indexed citations

9.

Camp, Pieter-Jan Van, Eric S. Kirkendall, Philip Hagedorn, et al.. (2019). Feedback at the Point of Care to Decrease Medication Alert Rates in an Electronic Health Record. Pediatric Emergency Care. 36(7). e417–e422. 1 indexed citations

10.

Hagedorn, Philip, et al.. (2019). Secure Text Messaging in Healthcare: Latent Threats and Opportunities to Improve Patient Safety. Journal of Hospital Medicine. 15(6). 378–380. 15 indexed citations

11.

Hagedorn, Philip, Eric S. Kirkendall, S. Andrew Spooner, & Vishnu Mohan. (2019). Inpatient Communication Networks: Leveraging Secure Text-Messaging Platforms to Gain Insight into Inpatient Communication Systems. Applied Clinical Informatics. 10(3). 471–478. 14 indexed citations

12.

Hagedorn, Philip, et al.. (2019). Secure Text Messaging in Healthcare: Latent Threats and Opportunities to Improve Patient Safety. Journal of Hospital Medicine. 15(6). 378–380. 3 indexed citations

13.

Spooner, S. Andrew, et al.. (2018). Weight Entry Error Detection: A Web Service for Real-time Statistical Analysis. PEDIATRICS. 141(1_MeetingAbstract). 21–21. 2 indexed citations

14.

Hansen, Jesse E., Margot Lazow, & Philip Hagedorn. (2018). Reducing Interdisciplinary Communication Failures Through Secure Text Messaging: A Quality Improvement Project. Pediatric Quality and Safety. 3(1). e053–e053. 13 indexed citations

15.

Spooner, S. Andrew, et al.. (2018). Weight Entry Error Detection: A Web Service for Real-time Statistical Analysis. 21–21. 2 indexed citations

16.

Dexheimer, Judith W., Eric S. Kirkendall, Michal Kouril, et al.. (2017). The Effects of Medication Alerts on Prescriber Response in a Pediatric Hospital. Applied Clinical Informatics. 8(2). 491–501. 17 indexed citations

17.

Hagedorn, Philip, Eric S. Kirkendall, Michal Kouril, et al.. (2017). Assessing Frequency and Risk of Weight Entry Errors in Pediatrics. JAMA Pediatrics. 171(4). 392–392. 7 indexed citations

18.

Heffron, Thomas G., T Pillen, David Welch, et al.. (2007). Medical and surgical treatment of neonatal hemochromatosis: Single center experience. Pediatric Transplantation. 11(4). 374–378. 18 indexed citations

19.

Heffron, Thomas G., David Welch, T Pillen, et al.. (2006). Liver transplant in a four‐month‐old child with biliary atresia, unilateral pulmonary agenesis, and diaphragmatic hernia: First case report. Pediatric Transplantation. 10(4). 513–516. 1 indexed citations

20.

Heffron, Thomas G., David Welch, T Pillen, et al.. (2006). Successful ABO-incompatible pediatric liver transplantation utilizing standard immunosuppression with selective postoperative plasmapheresis. Liver Transplantation. 12(6). 972–978. 44 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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