Dana Moukheiber

27 total papers · 792 total citations
15 papers, 404 citations indexed

About

Dana Moukheiber is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Dana Moukheiber has authored 15 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Health Informatics and 5 papers in Artificial Intelligence. Recurrent topics in Dana Moukheiber's work include Artificial Intelligence in Healthcare and Education (5 papers), COVID-19 diagnosis using AI (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Dana Moukheiber is often cited by papers focused on Artificial Intelligence in Healthcare and Education (5 papers), COVID-19 diagnosis using AI (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Dana Moukheiber collaborates with scholars based in United States, Switzerland and Canada. Dana Moukheiber's co-authors include Lama Moukheiber, Mira Moukheiber, Rachel Hicklen, Haobo Ma, Ashish K. Khanna, Janny Xue Chen Ke, Lama Nazer, Piyush Mathur, Leo Anthony Celi and David W. Bates and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and Scientific Data.

In The Last Decade

Dana Moukheiber

13 papers receiving 384 citations

Hit Papers

Bias in artificial intell... 2023 2026 2024 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Dana Moukheiber 166 135 91 45 44 15 404
Natalia Norori 187 1.1× 102 0.8× 90 1.0× 45 1.0× 39 0.9× 8 398
Jasmine Chiat Ling Ong 217 1.3× 125 0.9× 95 1.0× 43 1.0× 25 0.6× 23 432
Jenny Krutzinna 124 0.7× 124 0.9× 58 0.6× 61 1.4× 23 0.5× 22 453
Andrew Bishara 146 0.9× 112 0.8× 101 1.1× 43 1.0× 31 0.7× 17 441
Vinyas Harish 186 1.1× 109 0.8× 87 1.0× 71 1.6× 37 0.8× 26 435
Suyog Shetty 271 1.6× 114 0.8× 116 1.3× 73 1.6× 45 1.0× 6 465
Florence M. Aellen 188 1.1× 107 0.8× 90 1.0× 42 0.9× 39 0.9× 9 420
Shalmali Joshi 193 1.2× 156 1.2× 83 0.9× 70 1.6× 23 0.5× 18 421
Liam G. McCoy 248 1.5× 142 1.1× 107 1.2× 81 1.8× 39 0.9× 25 453
Afnan Almuhanna 196 1.2× 106 0.8× 112 1.2× 45 1.0× 39 0.9× 28 406

Countries citing papers authored by Dana Moukheiber

Since Specialization
Citations

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

Fields of papers citing papers by Dana Moukheiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Moukheiber

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