Mohamed Abdalla

1000 total citations
29 papers, 467 citations indexed

About

Mohamed Abdalla is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and Health Informatics. According to data from OpenAlex, Mohamed Abdalla has authored 29 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Health Informatics. Recurrent topics in Mohamed Abdalla's work include Topic Modeling (7 papers), Machine Learning in Healthcare (6 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Mohamed Abdalla is often cited by papers focused on Topic Modeling (7 papers), Machine Learning in Healthcare (6 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Mohamed Abdalla collaborates with scholars based in Canada, United States and United Kingdom. Mohamed Abdalla's co-authors include Christopher Meaney, Serena Jeblee, Chloé Pou-Prom, Graeme Hirst, Frank Rudzicz, Moustafa Abdalla, Benjamin Fine, Amy X. Lu, Marzyeh Ghassemi and Matthew B. A. McDermott and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mohamed Abdalla

28 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Abdalla Canada 12 244 77 61 60 39 29 467
Francisco Maria Calisto Portugal 8 184 0.8× 119 1.5× 22 0.4× 85 1.4× 17 0.4× 9 340
Jenny Krutzinna Norway 8 126 0.5× 125 1.6× 25 0.4× 59 1.0× 23 0.6× 22 461
Justin F. Rousseau United States 11 236 1.0× 144 1.9× 96 1.6× 87 1.4× 11 0.3× 50 685
Christophe Gaudet-Blavignac Switzerland 8 102 0.4× 31 0.4× 67 1.1× 24 0.4× 16 0.4× 36 310
Jesutofunmi A. Omiye United States 10 185 0.8× 226 2.9× 36 0.6× 118 2.0× 21 0.5× 17 598
Anna Markella Antoniadi Ireland 9 248 1.0× 157 2.0× 24 0.4× 61 1.0× 13 0.3× 12 499
Laura Vardoulakis United States 7 211 0.9× 157 2.0× 13 0.2× 122 2.0× 21 0.5× 10 515
Shubo Tian United States 9 171 0.7× 114 1.5× 95 1.6× 34 0.6× 10 0.3× 19 356
Florence M. Aellen Switzerland 4 108 0.4× 199 2.6× 24 0.4× 93 1.6× 40 1.0× 9 442
Sophia J. Wagner Germany 6 238 1.0× 290 3.8× 42 0.7× 165 2.8× 18 0.5× 10 543

Countries citing papers authored by Mohamed Abdalla

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Abdalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Abdalla

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

All Works

20 of 20 papers shown
1.
Abdalla, Moustafa, et al.. (2024). Empirical data drift detection experiments on real-world medical imaging data. Nature Communications. 15(1). 141–158. 31 indexed citations
2.
Abdalla, Mohamed, et al.. (2024). Automatic standard plane and diagnostic usability classification in obstetric ultrasounds. SHILAP Revista de lepidopterología. 2(2). 100050–100050. 1 indexed citations
3.
4.
Abdalla, Moustafa, et al.. (2023). American Black Authorship Has Decreased Across All Clinical Specialties Despite an Increasing Number of Black Physicians Between 1990 and 2020 in the USA. Journal of Racial and Ethnic Health Disparities. 11(2). 710–718. 2 indexed citations
5.
6.
Maclagan, Laura C., Mohamed Abdalla, Daniel A. Harris, et al.. (2023). Can Patients with Dementia Be Identified in Primary Care Electronic Medical Records Using Natural Language Processing?. PubMed. 7(1). 42–58. 11 indexed citations
7.
Abdalla, Moustafa, et al.. (2023). Modeling the Adoption of 5760 Clinical Studies Into Practice Across 5 Surgical Specialties. Journal of Surgical Research. 294. 269–278.
8.
Abdalla, Mohamed, et al.. (2023). The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups. Radiology Artificial Intelligence. 5(5). e220270–e220270. 15 indexed citations
9.
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Abdalla, Moustafa & Mohamed Abdalla. (2022). A general framework for predicting the transcriptomic consequences of non-coding variation and small molecules. PLoS Computational Biology. 18(4). e1010028–e1010028. 3 indexed citations
11.
Abdalla, Mohamed, et al.. (2022). Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning. PLoS ONE. 17(5). e0267964–e0267964. 1 indexed citations
12.
Abdalla, Moustafa, et al.. (2022). The Under-representation and Stagnation of Female, Black, and Hispanic Authorship in the Journal of the American Medical Association and the New England Journal of Medicine. Journal of Racial and Ethnic Health Disparities. 10(2). 920–929. 25 indexed citations
13.
Abdalla, Mohamed, et al.. (2020). Examining the rhetorical capacities of neural language models. 16–32. 6 indexed citations
14.
Abdalla, Moustafa, Mohamed Abdalla, Ferhan Siddiqi, et al.. (2020). A common glomerular transcriptomic signature distinguishes diabetic kidney disease from other kidney diseases in humans and mice. Current Research in Translational Medicine. 68(4). 225–236. 3 indexed citations
15.
Abdalla, Mohamed, Moustafa Abdalla, Graeme Hirst, & Frank Rudzicz. (2020). Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study. Journal of Medical Internet Research. 22(7). e18055–e18055. 12 indexed citations
16.
Abdalla, Mohamed, Moustafa Abdalla, Frank Rudzicz, & Graeme Hirst. (2020). Using word embeddings to improve the privacy of clinical notes. Journal of the American Medical Informatics Association. 27(6). 901–907. 9 indexed citations
17.
Jeblee, Serena, et al.. (2019). A survey of word embeddings for clinical text. Journal of Biomedical Informatics. 100. 100057–100057. 142 indexed citations
18.
Abdalla, Mohamed, Magnus Sahlgren, & Graeme Hirst. (2019). Enriching Word Embeddings with a Regressor Instead of Labeled Corpora. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6188–6195. 4 indexed citations
19.
Abdalla, Mohamed & Graeme Hirst. (2017). Cross-Lingual Sentiment Analysis Without (Good) Translation. International Joint Conference on Natural Language Processing. 1. 506–515. 11 indexed citations
20.
Dean, Derrick, Mohamed A. Abdalla, Uday Vaidya, et al.. (2005). Processable PMR-Type Polyimides: Process-Property Relationships, Curing Kinetics, and Thermooxidative Stability. High Performance Polymers. 17(4). 497–514. 10 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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