Azade Tabaie

422 total citations
16 papers, 230 citations indexed

About

Azade Tabaie is a scholar working on Epidemiology, Emergency Medicine and Health. According to data from OpenAlex, Azade Tabaie has authored 16 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Emergency Medicine and 3 papers in Health. Recurrent topics in Azade Tabaie's work include Sepsis Diagnosis and Treatment (5 papers), Emergency and Acute Care Studies (4 papers) and Elder Abuse and Neglect (3 papers). Azade Tabaie is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Emergency and Acute Care Studies (4 papers) and Elder Abuse and Neglect (3 papers). Azade Tabaie collaborates with scholars based in United States, Netherlands and Canada. Azade Tabaie's co-authors include Rishikesan Kamaleswaran, An-Kwok Ian Wong, Andre L. Holder, Christopher S. Josef, Timothy G. Buchman, Ewout W. Steyerberg, Anne de Hond, Eduardo Mireles‐Cabodevila, Lasith Adhikari and Marie‐Laure Charpignon and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and Pediatric Research.

In The Last Decade

Azade Tabaie

14 papers receiving 223 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Azade Tabaie United States	8	71	64	61	42	40	16	230
R. W. M. A. Madushani United States	7	59 0.8×	109 1.7×	60 1.0×	60 1.4×	29 0.7×	13	286
Miguel Ángel Castro Spain	10	55 0.8×	88 1.4×	36 0.6×	108 2.6×	24 0.6×	32	281
Joshua Rolnick United States	9	23 0.3×	63 1.0×	14 0.2×	44 1.0×	27 0.7×	18	275
Valeria S.M. Valbuena United States	9	54 0.8×	58 0.9×	70 1.1×	90 2.1×	27 0.7×	18	291
Fernando José da Silva Ramos Brazil	10	31 0.4×	74 1.2×	24 0.4×	67 1.6×	9 0.2×	29	248
Michael Ng United Kingdom	8	63 0.9×	24 0.4×	21 0.3×	15 0.4×	34 0.8×	12	328
Jarrod Frizzell United States	4	24 0.3×	67 1.0×	18 0.3×	54 1.3×	37 0.9×	13	300
James Malycha Australia	8	29 0.4×	128 2.0×	12 0.2×	38 0.9×	9 0.2×	17	232
Chad Klochko United States	9	17 0.2×	27 0.4×	27 0.4×	57 1.4×	112 2.8×	27	343
Rohit B. Sangal United States	11	17 0.2×	51 0.8×	10 0.2×	62 1.5×	42 1.1×	52	334

Countries citing papers authored by Azade Tabaie

Since Specialization

Citations

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

Fields of papers citing papers by Azade Tabaie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azade Tabaie

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

All Works

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16 of 16 papers shown

Tabaie, Azade, et al.. (2025). Health Care Staff–Reported Workplace Violence in Patient Safety Event Reports. JAMA Network Open. 8(11). e2544642–e2544642.

Tabaie, Azade, et al.. (2025). Leading the way in pediatric sexual health screenings: evaluating pediatric emergency department workflows for the integration of STI screening tools. Frontiers in Health Services. 5. 1493318–1493318.

Tabaie, Azade, et al.. (2024). Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study. Journal of Medical Internet Research. 26. e50935–e50935. 3 indexed citations

Tabaie, Azade, et al.. (2023). A natural language processing approach to categorise contributing factors from patient safety event reports. BMJ Health & Care Informatics. 30(1). e100731–e100731. 5 indexed citations

Eldredge, Christina, Anthony Faiola, Yadollah Yaghoobzadeh, et al.. (2023). A risk identification model for detection of patients at risk of antidepressant discontinuation. Frontiers in Artificial Intelligence. 6. 1229609–1229609. 2 indexed citations

Smith, Randi N., Amy Zeidan, Azade Tabaie, et al.. (2022). Intimate Partner Violence at a Level-1 Trauma Center During the COVID-19 Pandemic: An Interrupted Time Series Analysis. The American Surgeon. 88(7). 1551–1553. 3 indexed citations

Zeidan, Amy, Dabney P. Evans, Randi N. Smith, Azade Tabaie, & Rishikesan Kamaleswaran. (2022). Estimating the Prevalence of Intimate Partner Violence at an Urban Hospital Before and During the COVID-19 Pandemic Using a Novel Natural Language Processing Algorithm. Violence and Gender. 9(4). 164–169. 1 indexed citations

Tabaie, Azade, et al.. (2022). Integrating structured and unstructured data for timely prediction of bloodstream infection among children. Pediatric Research. 93(4). 969–975. 8 indexed citations

Tabaie, Azade, Amy Zeidan, Dabney P. Evans, Randi N. Smith, & Rishikesan Kamaleswaran. (2022). A Novel Technique to Identify Intimate Partner Violence in a Hospital Setting. Western Journal of Emergency Medicine. 23(5). 781–788. 7 indexed citations

10.

Tabaie, Azade, Evan Orenstein, Shamim Nemati, et al.. (2021). Predicting presumed serious infection among hospitalized children on central venous lines with machine learning. Computers in Biology and Medicine. 132. 104289–104289. 15 indexed citations

11.

Yang, Philip, Azade Tabaie, An-Kwok Ian Wong, et al.. (2021). eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19. PLoS ONE. 16(9). e0257056–e0257056. 30 indexed citations

12.

Tabaie, Azade, Evan Orenstein, Shamim Nemati, et al.. (2021). Deep Learning Model to Predict Serious Infection Among Children With Central Venous Lines. Frontiers in Pediatrics. 9. 726870–726870. 8 indexed citations

13.

Wong, An-Kwok Ian, Rishikesan Kamaleswaran, Azade Tabaie, et al.. (2021). Prediction of Acute Respiratory Failure Requiring Advanced Respiratory Support in Advance of Interventions and Treatment: A Multivariable Prediction Model From Electronic Medical Record Data. Critical Care Explorations. 3(5). e0402–e0402. 7 indexed citations

14.

Wong, An-Kwok Ian, Marie‐Laure Charpignon, Han Kim, et al.. (2021). Analysis of Discrepancies Between Pulse Oximetry and Arterial Oxygen Saturation Measurements by Race and Ethnicity and Association With Organ Dysfunction and Mortality. JAMA Network Open. 4(11). e2131674–e2131674. 131 indexed citations

15.

Tabaie, Azade, et al.. (2019). Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients.. PubMed. 2019. 848–856. 7 indexed citations

16.

Tabaie, Azade, Falgun H. Chokshi, Andre L. Holder, & Shamim Nemati. (2018). Doubly-Robust Estimation of Effect of Imaging Resource Utilization on Discharge Decisions in Emergency Departments. PubMed. 2018. 3256–3259. 3 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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