Lina F. Soualmia

804 citations
66 papers · 376 · h-index 11

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 39
    • Bioinformatics and Genomic Networks 5
    • Semantic Web and Ontologies 19
    • Natural Language Processing Techniques 11
    • Topic Modeling 7
    • Advanced Text Analysis Techniques 4

Lina F. Soualmia

60 papers receiving 349 citations

Peers

Lina F. Soualmia
Comparison fields: 5 of 68
  • Medical Terminology 2
  • Artificial Intelligence 149
  • Health Information Management 18
  • Molecular Biology 166
  • Health Informatics 3
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Citations per field
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Citations per year

Countries citing papers authored by Lina F. Soualmia

Since Specialization
Citations

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

Fields of papers citing papers by Lina F. Soualmia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lina F. Soualmia. 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 Lina F. Soualmia. The network helps show where Lina F. Soualmia may publish in the future.

Co-authors

The 25 scholars most cited alongside Lina F. Soualmia, 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 Lina F. Soualmia Line = papers co-authored together Lina F. Soualmia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201139
2 201228
3 200427
4
Representing the MeSH in OWL: towards a semi-automatic migration
200426
5 201515
6 200615
7 201214
8 200413
9 200412
10 201111
11
Web impact factor: a bibliometric criterion applied to medical informatics societies' web sites.
200210
12 201910
13 20199
14
Strategies for health information retrieval.
20069
15 20148
16
Health multi-terminology portal: a semantic added-value for patient safety.
20118
17 20148
18 20127
19 20226
20 20135

About Lina F. Soualmia

Lina F. Soualmia is a scholar working on Molecular Biology, Artificial Intelligence, General Health Professions, Language and Linguistics and Health Information Management, having authored 66 papers that have together received 376 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (39 papers), Semantic Web and Ontologies (19 papers), Natural Language Processing Techniques (11 papers), Topic Modeling (7 papers), linguistics and terminology studies (5 papers), Bioinformatics and Genomic Networks (5 papers), Advanced Text Analysis Techniques (4 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Medical Terminology (2 citations), Artificial Intelligence (149 citations), Health Information Management (18 citations), Molecular Biology (166 citations) and Health Informatics (3 citations). Lina F. Soualmia has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Stéfan Darmoni, Benoı̂t Thirion, Badisse Dahamna, Julien Grosjean, Thierry Lecroq, Christine Golbreich, Nicolas Griffon, Aurélie Névéol, Jean-Baptiste Lamy and Mohamed Nazih Omri. Their work appears in journals such as Yearbook of Medical Informatics, International Journal of Medical Informatics, BMC Medical Informatics and Decision Making, Journal of Biomedical Informatics and Health Information & Libraries Journal.

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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