Maha Al-Yahya

659 total citations
38 papers, 433 citations indexed

About

Maha Al-Yahya is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Maha Al-Yahya has authored 38 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Computer Science Applications. Recurrent topics in Maha Al-Yahya's work include Natural Language Processing Techniques (16 papers), Topic Modeling (13 papers) and Semantic Web and Ontologies (11 papers). Maha Al-Yahya is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (13 papers) and Semantic Web and Ontologies (11 papers). Maha Al-Yahya collaborates with scholars based in Saudi Arabia, United States and France. Maha Al-Yahya's co-authors include Hend S. Al‐Khalifa, Remya George, Heyam H. Al-Baity, Duaa AlSaeed, Hind Alfadda, Michael D. Murray, Norah O. Abanmy, Abdul Rahman El Kinge, Hisham Aljadhey and David W. Bates and has published in prestigious journals such as IEEE Access, BMJ Open and BMC Health Services Research.

In The Last Decade

Maha Al-Yahya

38 papers receiving 407 citations

Peers

Maha Al-Yahya
Comparison fields: 5 of 74
  • Artificial Intelligence 271
  • Information Systems 141
  • Sociology and Political Science 68
  • Computer Science Applications 56
  • Geriatrics and Gerontology 37
Replace Yousef Asiri with:
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John P. Lalor United States
Milan Vukičević Serbia
Karima Sedki France
Kurt Junshean Espinosa Philippines
Roger Ferguson United States
Megan Kaiser United States
Tony Russell‐Rose United Kingdom
Laura Stoutenborough United States
Azhar Rauf Pakistan
Yousef Asiri Saudi Arabia View profile →
Citations per field, relative to Maha Al-Yahya
Maha Al-Yahya · 1×
Citations per year, relative to Maha Al-Yahya
Maha Al-Yahya · 1×

Countries citing papers authored by Maha Al-Yahya

Since Specialization
Citations

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

Fields of papers citing papers by Maha Al-Yahya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maha Al-Yahya. 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 Maha Al-Yahya. The network helps show where Maha Al-Yahya may publish in the future.

Co-authorship network of co-authors of Maha Al-Yahya

This figure shows the co-authorship network connecting the top 25 collaborators of Maha Al-Yahya. A scholar is included among the top collaborators of Maha Al-Yahya 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 Maha Al-Yahya. Maha Al-Yahya 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
# Work Indexed citations
1 2
2 2
3 3
4 10
5 17
6 1
7 3
8 7
9 10
10 7
11
MADAD: A Readability Annotation Tool for Arabic Text
2
12 44
13
Ontologies in E-Learning : Review of the Literature
46
14 10
15
CURONTO: a semantic model of the curriculum for program assessment and improvement
4
16 38
17 20
18
Using Web Blogs as a tool to Encourage pre-class Reading, post-class Reflections and Collaboration in Higher Education
22
19 8
20 1

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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