Samir Abdelrahman

1.1k total citations
39 papers, 426 citations indexed

About

Samir Abdelrahman is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Samir Abdelrahman has authored 39 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Samir Abdelrahman's work include Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Machine Learning in Healthcare (8 papers). Samir Abdelrahman is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Machine Learning in Healthcare (8 papers). Samir Abdelrahman collaborates with scholars based in United States, Egypt and France. Samir Abdelrahman's co-authors include Kensaku Kawamoto, Mohammad Amin Morid, Aly Fahmy, Lane Schwartz, Tim Miller, William Schuler, Lee M. Christensen, Wendy W. Chapman, Danielle L. Mowery and Olivia R. Liu Sheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Samir Abdelrahman

34 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samir Abdelrahman United States 12 244 62 49 48 43 39 426
Scott McLachlan United Kingdom 12 217 0.9× 30 0.5× 44 0.9× 105 2.2× 95 2.2× 30 583
Samah Fodeh United States 14 225 0.9× 42 0.7× 64 1.3× 43 0.9× 22 0.5× 43 539
Tanja Magoč United States 10 383 1.6× 35 0.6× 92 1.9× 108 2.3× 39 0.9× 33 810
Justin F. Rousseau United States 11 236 1.0× 51 0.8× 96 2.0× 37 0.8× 39 0.9× 50 685
Jing Mei China 10 200 0.8× 33 0.5× 62 1.3× 72 1.5× 19 0.4× 58 434
Haijun Zhai United States 11 201 0.8× 51 0.8× 120 2.4× 82 1.7× 22 0.5× 19 464
Luk Arbuckle Canada 10 295 1.2× 41 0.7× 37 0.8× 50 1.0× 91 2.1× 15 602
Enea Parimbelli Italy 12 140 0.6× 41 0.7× 62 1.3× 89 1.9× 85 2.0× 47 485
Samina Abidi Canada 15 175 0.7× 40 0.6× 117 2.4× 106 2.2× 78 1.8× 60 544
Maryam Zolnoori United States 12 144 0.6× 33 0.5× 61 1.2× 62 1.3× 70 1.6× 53 383

Countries citing papers authored by Samir Abdelrahman

Since Specialization
Citations

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

Fields of papers citing papers by Samir Abdelrahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samir Abdelrahman

This figure shows the co-authorship network connecting the top 25 collaborators of Samir Abdelrahman. A scholar is included among the top collaborators of Samir Abdelrahman 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 Samir Abdelrahman. Samir Abdelrahman 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.
Abdelrahman, Samir, et al.. (2025). Factors affecting quality of life in women post mastectomy for breast cancer in Baheya Foundation (Egypt): ‘A retrospective cohort study’. BMC Women s Health. 25(1). 43–43. 1 indexed citations
2.
Abdelhady, Hosam H., et al.. (2025). Tuning heterostructured interface of binary hydroxide/metallic CoNi over Fe3O4 at modified graphite felt for enhanced oxygen evolution reaction. Surfaces and Interfaces. 72. 107423–107423. 1 indexed citations
3.
4.
Mistry, Sejal, Ramkiran Gouripeddi, Candace M. Reno, et al.. (2023). Detecting hypoglycemia-induced electrocardiogram changes in a rodent model of type 1 diabetes using shape-based clustering. PLoS ONE. 18(5). e0284622–e0284622. 2 indexed citations
5.
Newman, Michael, Christina A. Porucznik, Samir Abdelrahman, et al.. (2023). Generating Older Adult Multimorbidity Trajectories Using Various Comorbidity Indices and Calculation Methods. Innovation in Aging. 7(3). igad023–igad023. 2 indexed citations
6.
Morid, Mohammad Amin, Olivia R. Liu Sheng, Guilherme Del Fiol, et al.. (2020). Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury. JMIR Medical Informatics. 8(3). e14272–e14272. 11 indexed citations
7.
Abdelrahman, Samir, et al.. (2020). Using supervised machine learning classifiers to estimate likelihood of participating in clinical trials of a de-identified version of ResearchMatch. SHILAP Revista de lepidopterología. 5(1). e42–e42. 11 indexed citations
8.
Morid, Mohammad Amin, et al.. (2019). Healthcare cost prediction: Leveraging fine-grain temporal patterns. Journal of Biomedical Informatics. 91. 103113–103113. 23 indexed citations
9.
Abdelrahman, Samir, et al.. (2019). UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method. IEEE Access. 7. 85462–85482. 21 indexed citations
10.
Bian, Jiantao, et al.. (2018). Automatic identification of recent high impact clinical articles in PubMed to support clinical decision making using time-agnostic features. Journal of Biomedical Informatics. 89. 1–10. 8 indexed citations
11.
Morid, Mohammad Amin, Olivia R. Liu Sheng, & Samir Abdelrahman. (2017). Leveraging Time Series Data in Similarity Based Healthcare Predictive Models: The Case of Early ICU Mortality Prediction. Americas Conference on Information Systems. 3 indexed citations
12.
Morid, Mohammad Amin, et al.. (2017). Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation.. PubMed. 2017. 1312–1321. 50 indexed citations
13.
Abdelrahman, Samir & Bruce E. Bray. (2016). Frequency Tree clustering for ICU mortality analytics using graph databases. 2324. 813–817. 1 indexed citations
14.
Abdelrahman, Samir, Mingyuan Zhang, Bruce E. Bray, & Kensaku Kawamoto. (2014). A three-step approach for the derivation and validation of high-performing predictive models using an operational dataset: congestive heart failure readmission case study. BMC Medical Informatics and Decision Making. 14(1). 41–41. 16 indexed citations
15.
Abdelrahman, Samir & Catherine Blake. (2012). A rule-based human interpretation system for semantic textual similarity task. Joint Conference on Lexical and Computational Semantics. 536–542. 1 indexed citations
16.
Abdelrahman, Samir & Catherine Blake. (2012). Sbdlrhmn: A Rule-based Human Interpretation System for Semantic Textual Similarity Task. Joint Conference on Lexical and Computational Semantics. 1. 536–542. 1 indexed citations
17.
Xu, Hua, Samir Abdelrahman, Yanxin Lu, Joshua C. Denny, & Son Doan. (2011). Applying semantic-based probabilistic context-free grammar to medical language processing – A preliminary study on parsing medication sentences. Journal of Biomedical Informatics. 44(6). 1068–1075. 4 indexed citations
18.
Abdelrahman, Samir, et al.. (2010). A Multiple-Domain Ontology Builder. International Conference on Computational Linguistics. 55 Suppl 1(Pt 2). 967–975. 4 indexed citations
19.
Abdelrahman, Samir, et al.. (2010). Estimating negotiation agreement zone using support vector machine with genetic algorithm. 1–8.
20.
Abdelrahman, Samir, et al.. (2010). Towards KDE mining approach for multi-agent negotiation. 1–7. 3 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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