Sandra Bringay

1.5k citations
62 papers · 725 indexed · h-index 15

Impact in

Papers in

    • Topic Modeling 11
    • Sentiment Analysis and Opinion Mining 8
    • Semantic Web and Ontologies 7
    • Natural Language Processing Techniques 6
    • Data Mining Algorithms and Applications 13

Sandra Bringay

58 papers receiving 693 citations

Peers

Sandra Bringay
Comparison fields: 5 of 123
  • Applied Psychology 82
  • Social Psychology 173
  • Artificial Intelligence 270
  • Health 61
  • Health Information Management 27
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Citations per year

Countries citing papers authored by Sandra Bringay

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Bringay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201893
2 201762
3 201655
4 201047
5 201946
6 201741
7 201732
8 201123
9 201919
10 201119
11 201917
12 201417
13 202116
14 201415
15 202215
16
S 2 MP: similarity measure for sequential patterns
200814
17 201414
18 201912
19
Annotations: A Functionality to support Cooperation, Coordination and Awareness in the Electronic Medical Record
200610
20 202110

About Sandra Bringay

Sandra Bringay is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Social Psychology and Signal Processing, having authored 62 papers that have together received 725 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Topic Modeling (11 papers), Biomedical Text Mining and Ontologies (9 papers), Mental Health via Writing (8 papers), Sentiment Analysis and Opinion Mining (8 papers), Data Management and Algorithms (7 papers), Semantic Web and Ontologies (7 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Applied Psychology (82 citations), Social Psychology (173 citations), Artificial Intelligence (270 citations), Health (61 citations) and Health Information Management (27 citations). Sandra Bringay has collaborated with scholars based in France, Spain and New Caledonia. Frequent co-authors include Jérôme Azé, Pascal Poncelet, Maguelonne Teisseire, Caroline Mollévi, Julien Rabatel, Paul Landais, Thomas Opitz, Maximilien Servajean, Jean Charlet and Arnaud Sallaberry. Their work appears in journals such as Journal of Biomedical Informatics, World Wide Web, IEEE Transactions on Visualization and Computer Graphics, Health Information Science and Systems and Knowledge-Based Systems.

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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