Oumaima Terrada

17 total papers · 604 total citations
16 papers, 409 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 409 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 389 citations

Author Peers

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

Author Last Decade Papers Cites
Oumaima Terrada 209 134 118 55 44 16 409
Pooja Rani 197 0.9× 264 2.0× 57 0.5× 19 0.3× 61 1.4× 32 487
Muntasir Mamun 208 1.0× 92 0.7× 146 1.2× 112 2.0× 28 0.6× 17 454
Chiao-Wen Liu 245 1.2× 76 0.6× 38 0.3× 62 1.1× 34 0.8× 12 484
Rahul Kumar 152 0.7× 129 1.0× 125 1.1× 58 1.1× 11 0.3× 27 398
Wojciech Książek 205 1.0× 199 1.5× 117 1.0× 35 0.6× 25 0.6× 10 468
L.S. Goodenday 179 0.9× 48 0.4× 86 0.7× 49 0.9× 45 1.0× 21 428
Francesco Girardi 124 0.6× 34 0.3× 80 0.7× 105 1.9× 46 1.0× 13 458
Abhijith Reddy Beeravolu 207 1.0× 224 1.7× 112 0.9× 34 0.6× 37 0.8× 6 460
Jiangang Ma 165 0.8× 42 0.3× 62 0.5× 55 1.0× 76 1.7× 29 459
Mohd Usama 248 1.2× 48 0.4× 60 0.5× 95 1.7× 55 1.3× 16 486

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

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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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