Zahra Daar

29 total papers · 962 total citations
13 papers, 266 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 266 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, Roy J. Byrd, Shahram Ebadollahi, Steven R. Steinhubl, Christopher R. deFilippi, Kenney Ng, Jianying Hu, Anne O. Carter and Gladys Honein‐AbouHaidar 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 252 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Zahra Daar	93	75	70	54	44	13	266
Sujay Kakarmath	94 1.0×	83 1.1×	76 1.1×	11 0.2×	96 2.2×	13	302
Jason Denton	36 0.4×	26 0.3×	35 0.5×	56 1.0×	53 1.2×	17	305
Le Zheng	74 0.8×	48 0.6×	73 1.0×	9 0.2×	33 0.8×	12	286
Michelle Smerek	65 0.7×	100 1.3×	50 0.7×	13 0.2×	33 0.8×	13	329
Aditi Gupta	80 0.9×	38 0.5×	59 0.8×	10 0.2×	21 0.5×	17	264
Agni Orfanoudaki	121 1.3×	38 0.5×	70 1.0×	27 0.5×	24 0.5×	16	322
J. Martin	54 0.6×	35 0.5×	120 1.7×	12 0.2×	33 0.8×	13	295
Jumpei Sato	96 1.0×	75 1.0×	75 1.1×	8 0.1×	92 2.1×	23	288
Lindsay M. Wong	67 0.7×	53 0.7×	55 0.8×	25 0.5×	14 0.3×	8	318
Maren E. Shipe	60 0.6×	27 0.4×	51 0.7×	31 0.6×	46 1.0×	16	324

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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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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