Sandra Bringay
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
Papers in
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- Topic Modeling 10
- Sentiment Analysis and Opinion Mining 8
- Semantic Web and Ontologies 7
- Natural Language Processing Techniques 6
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- Data Mining Algorithms and Applications 12
- Co-authors
- Jérôme Azé (24 shared papers)Pascal Poncelet (14 shared papers)Caroline Mollévi (9 shared papers)Maguelonne Teisseire (15 shared papers)Julien Rabatel (4 shared papers)Paul Landais (4 shared papers)Thomas Opitz (2 shared papers)Maximilien Servajean (9 shared papers)
In The Last Decade
Sandra Bringay
53 papers receiving 670 citations
Peers
Comparison fields: 5 of 118
- Applied Psychology 67
- Artificial Intelligence 243
- Social Psychology 147
- Health Information Management 21
- Health 33
Countries citing papers authored by Sandra Bringay
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
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.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 96 | |
| 2 | 2017 | 63 | |
| 3 | 2016 | 56 | |
| 4 | 2010 | 48 | |
| 5 | 2019 | 47 | |
| 6 | 2017 | 43 | |
| 7 | 2017 | 32 | |
| 8 | 2011 | 23 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2014 | 17 | |
| 12 | 2021 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2014 | 15 | |
| 15 | 2014 | 15 | |
| 16 | S 2 MP: similarity measure for sequential patterns | 2008 | 14 |
| 17 | 2021 | 11 | |
| 18 | Annotations: A Functionality to support Cooperation, Coordination and Awareness in the Electronic Medical Record | 2006 | 10 |
| 19 | 2015 | 10 | |
| 20 | 2011 | 10 |
About Sandra Bringay
Sandra Bringay is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Signal Processing and Social Psychology, having authored 58 papers that have together received 702 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (12 papers), Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (8 papers), Biomedical Text Mining and Ontologies (8 papers), Data Management and Algorithms (7 papers), Semantic Web and Ontologies (7 papers), Natural Language Processing Techniques (6 papers) and Mental Health via Writing (6 papers). The work is most often cited by research in Applied Psychology (67 citations), Artificial Intelligence (243 citations), Social Psychology (147 citations), Health Information Management (21 citations) and Health (33 citations). Sandra Bringay has collaborated with scholars based in France, Spain and Chile. Frequent co-authors include Jérôme Azé, Pascal Poncelet, Caroline Mollévi, Maguelonne Teisseire, 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, Ecological Informatics, Journal of Medical Internet Research and Journal of the American Medical Informatics Association.
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.