Zahra Daar

965 total citations
13 papers, 267 citations indexed

About

Zahra Daar is a scholar working on Epidemiology, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Zahra Daar has authored 13 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Artificial Intelligence and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Zahra Daar's work include Machine Learning in Healthcare (4 papers), Chronic Disease Management Strategies (3 papers) and Heart Failure Treatment and Management (2 papers). Zahra Daar is often cited by papers focused on Machine Learning in Healthcare (4 papers), Chronic Disease Management Strategies (3 papers) and Heart Failure Treatment and Management (2 papers). Zahra Daar collaborates with scholars based in United States and United Arab Emirates. Zahra Daar's co-authors include Walter F. Stewart, Jimeng Sun, Shahram Ebadollahi, Steven R. Steinhubl, Roy J. Byrd, Jianying Hu, Kenney Ng, Christopher R. deFilippi, Earl V. Dunn and Abdülbari Bener and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Zahra Daar

13 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zahra Daar United States	6	94	75	69	54	44	13	267
Elliot G. Arsoniadis United States	12	106 1.1×	79 1.1×	65 0.9×	43 0.8×	36 0.8×	27	358
Anna Ostropolets United States	11	64 0.7×	51 0.7×	57 0.8×	24 0.4×	84 1.9×	33	459
Jessica Gronsbell Canada	11	149 1.6×	57 0.8×	45 0.7×	77 1.4×	20 0.5×	25	423
Jionglin Wu China	6	160 1.7×	121 1.6×	56 0.8×	17 0.3×	37 0.8×	17	366
Sujay Kakarmath United States	7	96 1.0×	84 1.1×	75 1.1×	11 0.2×	97 2.2×	13	303
Uri Kartoun United States	12	56 0.6×	33 0.4×	139 2.0×	23 0.4×	122 2.8×	33	436
Ajit Londhe United States	5	43 0.5×	37 0.5×	40 0.6×	39 0.7×	95 2.2×	11	371
C. Weng United Kingdom	7	62 0.7×	50 0.7×	41 0.6×	12 0.2×	29 0.7×	11	370
Le Zheng China	8	77 0.8×	48 0.6×	74 1.1×	9 0.2×	33 0.8×	12	291
Michelle Smerek United States	7	65 0.7×	100 1.3×	51 0.7×	13 0.2×	33 0.8×	13	332

Countries citing papers authored by Zahra Daar

Since Specialization

Citations

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

Fields of papers citing papers by Zahra Daar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zahra Daar

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

All Works

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13 of 13 papers shown

Roberts, Henry, Kirsten Waller, Zahra Daar, et al.. (2019). Underreporting of Hepatitis B and C virus infections — Pennsylvania, 2001–2015. PLoS ONE. 14(6). e0217455–e0217455. 2 indexed citations

Ng, Kenney, Walter F. Stewart, Christopher R. deFilippi, et al.. (2016). Data-Driven Modeling of Electronic Health Record Data to Predict Prediagnostic Heart Failure in Primary Care. Journal of patient-centered research and reviews. 3(3). 200–200. 2 indexed citations

Arterburn, David, G. Craig Wood, Mary Kay Theis, et al.. (2015). Antipsychotic medications and extreme weight gain in two health systems. Obesity Research & Clinical Practice. 10(4). 408–423. 10 indexed citations

Wang, Yajuan, Kenney Ng, Roy J. Byrd, et al.. (2015). Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records. PubMed. 2015. 2530–2533. 38 indexed citations

Vijayakrishnan, Rajakrishnan, Steven R. Steinhubl, Kenney Ng, et al.. (2014). Prevalence of Heart Failure Signs and Symptoms in a Large Primary Care Population Identified Through the Use of Text and Data Mining of the Electronic Health Record. Journal of Cardiac Failure. 20(7). 459–464. 65 indexed citations

Steinhubl, Steven R., Jing Ping Sun, Ryland P. Byrd, et al.. (2013). A3-2: The Signs and Symptoms of Heart Failure are Frequently Documented to Wax and Wane in the Years Prior to a Clinical Diagnosis of Heart Failure: Data from 4,644 Patients Followed in Primary Care. Clinical Medicine & Research. 11(3). 134–135. 1 indexed citations

Byrd, R. Andrew, Steven R. Steinhubl, Walter F. Stewart, et al.. (2012). CB4-02: Validation of a Natural Language Processing Protocol for Detecting Heart Failure Signs and Symptoms in Electronic Health Record Text Notes. Clinical Medicine & Research. 10(3). 165–166. 1 indexed citations

Steinhubl, Steven R., Jimeng Sun, Roy J. Byrd, et al.. (2012). POTENTIAL IMPACT OF PREDICTIVE MODELS FOR EARLY DETECTION OF HEART FAILURE ON THE INITIATION OF EVIDENCE-BASED THERAPIES. Journal of the American College of Cardiology. 59(13). E949–E949. 2 indexed citations

Sun, Jimeng, Jianying Hu, Dijun Luo, et al.. (2012). Combining knowledge and data driven insights for identifying risk factors using electronic health records.. PubMed. 2012. 901–10. 65 indexed citations

10.

Steinhubl, Steven R., Brent A. Williams, Jimeng Sun, et al.. (2011). Abstract 12035: Text and Data Mining of Longitudinal Electronic Health Records (EHRs) in a Primary Care Population Can Identify Heart Failure (HF) Patients Months to Years Prior to Formal Diagnosis Using the Framingham Criteria. Circulation. 124. 3 indexed citations

11.

Arterburn, David, Margaret Rukstalis, C Wood, et al.. (2011). C-A3-02: Identification of Extreme Weight Gain Among Users of Atypical Antipsychotic Medications. Clinical Medicine & Research. 9(3-4). 160–160. 1 indexed citations

12.

Wood, G. Craig, et al.. (2009). Patient Satisfaction and Physician Productivity: Complementary or Mutually Exclusive?. American Journal of Medical Quality. 24(6). 498–504. 15 indexed citations

13.

Bener, Abdülbari, et al.. (2002). The Determinants of Breast Cancer Screening Behavior: A Focus Group Study of Women in the United Arab Emirates. Oncology nursing forum. 29(9). E91–E98. 62 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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