Yassine Mrabet

543 citations
19 papers · 324 · h-index 10

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Machine Learning in Healthcare
    • Semantic Web and Ontologies
    • Sentiment Analysis and Opinion Mining

Papers in

    • Topic Modeling 11
    • Natural Language Processing Techniques 8
    • Semantic Web and Ontologies 3
    • Advanced Text Analysis Techniques 2
    • Sentiment Analysis and Opinion Mining 1
    • Biomedical Text Mining and Ontologies 4

Yassine Mrabet

19 papers receiving 303 citations

Peers

Yassine Mrabet
Comparison fields: 5 of 63
  • Health Informatics 16
  • Artificial Intelligence 219
  • Toxicology 11
  • Family Practice 4
  • Health Information Management 8
Replace Mourad Sarrouti with:
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Yikun Guo United Kingdom
Yueping Sun China
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Maite Oronoz Spain
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Citations per field
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Citations per year

Countries citing papers authored by Yassine Mrabet

Since Specialization
Citations

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

Fields of papers citing papers by Yassine Mrabet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yassine Mrabet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yassine Mrabet Line = papers co-authored together Yassine Mrabet links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201561
2 201950
3 202144
4 201830
5 201624
6 201921
7 200713
8 201012
9 201010
10 201610
11 20168
12 20208
13 20157
14 20177
15
Combining Open-domain and Biomedical Knowledge for Topic Recognition in Consumer Health Questions.
20167
16 20165
17
Linked data in action: Personalized museum tours on mobile devices
20155
18
NLM at TREC 2020 Health Misinformation and Deep Learning Tracks.
20201
19 20211

About Yassine Mrabet

Yassine Mrabet is a scholar working on Artificial Intelligence, Molecular Biology, Sociology and Political Science, Computer Vision and Pattern Recognition and Information Systems, having authored 19 papers that have together received 324 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers), Biomedical Text Mining and Ontologies (4 papers), Semantic Web and Ontologies (3 papers), Misinformation and Its Impacts (2 papers), Advanced Text Analysis Techniques (2 papers), Web Data Mining and Analysis (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Health Informatics (16 citations), Artificial Intelligence (219 citations), Toxicology (11 citations), Family Practice (4 citations) and Health Information Management (8 citations). Yassine Mrabet has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Asma Ben Abacha, Dina Demner‐Fushman, Halil Kilicoglu, Pierre Zweigenbaum, Alberto Lavelli, Sonya E. Shooshan, Nabil Semmar, Chaitanya Shivade, Yuhao Zhang and Curtis P. Langlotz. Their work appears in journals such as Journal of the American Medical Informatics Association, Helvetica Chimica Acta, Journal of Biomedical Informatics, Journal of Biomedical Semantics and BMC Bioinformatics.

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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