Oumaima Terrada

609 total citations
16 papers, 417 citations indexed

About

Oumaima Terrada is a scholar working on Health Information Management, Artificial Intelligence and Information Systems. According to data from OpenAlex, Oumaima Terrada has authored 16 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health Information Management, 9 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Oumaima Terrada's work include Artificial Intelligence in Healthcare (11 papers), Machine Learning in Healthcare (4 papers) and Handwritten Text Recognition Techniques (2 papers). Oumaima Terrada is often cited by papers focused on Artificial Intelligence in Healthcare (11 papers), Machine Learning in Healthcare (4 papers) and Handwritten Text Recognition Techniques (2 papers). Oumaima Terrada collaborates with scholars based in Morocco, Portugal and France. Oumaima Terrada's co-authors include Bouchaib Cherradi, Abdelhadi Raihani, Omar Bouattane, Soufiane Hamida, Oussama El Gannour, Hassan Ouajji and Lhoussain Bahatti and has published in prestigious journals such as Heliyon, Informatics in Medicine Unlocked and International Journal of Online and Biomedical Engineering (iJOE).

In The Last Decade

Oumaima Terrada

16 papers receiving 398 citations

Peers

Oumaima Terrada
Muntasir Mamun United States
Hager Saleh Egypt
Shahana Shultana Bangladesh
Abhijith Reddy Beeravolu Australia
Amer Malki Saudi Arabia
Sandeep Chaurasia India
Bibhuprasad Sahu India
Mohd Usama China
Sathiyabhama Balasubramaniam India
Muntasir Mamun United States
Oumaima Terrada
Citations per year, relative to Oumaima Terrada Oumaima Terrada (= 1×) peers Muntasir Mamun

Countries citing papers authored by Oumaima Terrada

Since Specialization
Citations

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

Fields of papers citing papers by Oumaima Terrada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oumaima Terrada

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

All Works

16 of 16 papers shown
1.
Terrada, Oumaima, et al.. (2024). Early heart disease prediction using feature engineering and machine learning algorithms. Heliyon. 10(19). e38731–e38731. 11 indexed citations
2.
Terrada, Oumaima, et al.. (2023). Primary Prediction of Heart Disease using Machine Learning Algorithms and SMOTE. 1–7. 3 indexed citations
3.
Terrada, Oumaima, et al.. (2023). Optimizing Machine Learning Algorithms for Heart Disease Classification and Prediction. International Journal of Online and Biomedical Engineering (iJOE). 19(15). 61–76. 5 indexed citations
4.
Raihani, Abdelhadi, et al.. (2021). A Novel Approach for Parkinson’s Disease Detection Based on Voice Classification and Features Selection Techniques. International Journal of Online and Biomedical Engineering (iJOE). 17(10). 111–130. 34 indexed citations
5.
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Hamida, Soufiane, Bouchaib Cherradi, Oussama El Gannour, et al.. (2021). New Database of French Computer Science Words Handwritten Vocabulary. 28 indexed citations
7.
Terrada, Oumaima, et al.. (2021). Voice-Based Deep Learning Medical Diagnosis System for Parkinson's Disease Prediction. 1–5. 30 indexed citations
8.
Terrada, Oumaima, Bouchaib Cherradi, Abdelhadi Raihani, & Omar Bouattane. (2020). A novel medical diagnosis support system for predicting patients with atherosclerosis diseases. Informatics in Medicine Unlocked. 21. 100483–100483. 32 indexed citations
9.
Cherradi, Bouchaib, et al.. (2020). Convolutional Neural Network Based Classification of Patients with Pneumonia using X-ray Lung Images. Advances in Science Technology and Engineering Systems Journal. 5(5). 167–175. 40 indexed citations
10.
Terrada, Oumaima, Bouchaib Cherradi, Abdelhadi Raihani, & Omar Bouattane. (2020). Atherosclerosis disease prediction using Supervised Machine Learning Techniques. 1–5. 27 indexed citations
11.
Terrada, Oumaima, Soufiane Hamida, Bouchaib Cherradi, Abdelhadi Raihani, & Omar Bouattane. (2020). Supervised Machine Learning Based Medical Diagnosis Support System for Prediction of Patients with Heart Disease. Advances in Science Technology and Engineering Systems Journal. 5(5). 269–277. 37 indexed citations
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14.
Terrada, Oumaima, Bouchaib Cherradi, Abdelhadi Raihani, & Omar Bouattane. (2019). Classification and Prediction of atherosclerosis diseases using machine learning algorithms. 1–5. 31 indexed citations
15.
Terrada, Oumaima, Abdelhadi Raihani, Omar Bouattane, & Bouchaib Cherradi. (2018). Fuzzy cardiovascular diagnosis system using clinical data. 1–4. 28 indexed citations
16.
Terrada, Oumaima, Bouchaib Cherradi, Abdelhadi Raihani, & Omar Bouattane. (2018). A fuzzy medical diagnostic support system for cardiovascular diseases diagnosis using risk factors. 1–6. 26 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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