Marleine Azar

57 total papers · 2.2k total citations
17 papers, 333 citations indexed

About

Marleine Azar is a scholar working on Statistics, Probability and Uncertainty, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marleine Azar has authored 17 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics, Probability and Uncertainty, 4 papers in General Health Professions and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marleine Azar's work include Meta-analysis and systematic reviews (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Marleine Azar is often cited by papers focused on Meta-analysis and systematic reviews (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Marleine Azar collaborates with scholars based in Canada, United States and Netherlands. Marleine Azar's co-authors include Brett D. Thombs, Kira E. Riehm, Bruce Gray, Caroline Reinhold, Jacob L. Jaremko, An Tang, Andrea Lum, Mark Cicero, Casey Hurrell and Jaron Chong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Epidemiology.

In The Last Decade

Marleine Azar

17 papers receiving 330 citations

Author Peers

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

Author						Papers	Cites
Marleine Azar	108	94	85	48	48	17	333
Max Ward	48 0.4×	36 0.4×	51 0.6×	5 0.1×	67 1.4×	39	341
Silvia Bargeri	26 0.2×	23 0.2×	61 0.7×	30 0.6×	21 0.4×	33	358
Ali Jasem Buabbas	59 0.5×	37 0.4×	116 1.4×	6 0.1×	23 0.5×	20	327
A. Bhattacharya	102 0.9×	46 0.5×	68 0.8×	3 0.1×	101 2.1×	10	400
Belma Muhamedagić	16 0.1×	31 0.3×	87 1.0×	41 0.9×	11 0.2×	9	344
Hannah Kerman	94 0.9×	33 0.4×	25 0.3×	3 0.1×	30 0.6×	11	302
Hae Hiang Song	9 0.1×	86 0.9×	43 0.5×	91 1.9×	6 0.1×	13	370
Christopher Y. K. Williams	55 0.5×	28 0.3×	20 0.2×	3 0.1×	103 2.1×	20	334
Sharief Taraman	24 0.2×	21 0.2×	26 0.3×	5 0.1×	76 1.6×	27	352
Suebsarn Ruksakulpiwat	123 1.1×	68 0.7×	24 0.3×	2 0.0×	17 0.4×	38	296

Countries citing papers authored by Marleine Azar

Since Specialization

Citations

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

Fields of papers citing papers by Marleine Azar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marleine Azar

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