Sandra Bringay
Impact in
- Social Psychology top 5%
- Mental Health via Writing
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
Papers in
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- Data Mining Algorithms and Applications 22
- Expert finding and Q&A systems 6
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- Sentiment Analysis and Opinion Mining 13
- Co-authors
- Jérôme Azé (43 shared papers)Pascal Poncelet B (33 shared papers)Maguelonne Teisseire (32 shared papers)Caroline Mollevi (8 shared papers)Paul Landais (7 shared papers)Maximilien Servajean (12 shared papers)Christian Lavergne (3 shared papers)Jean Charlet (8 shared papers)
In The Last Decade
Sandra Bringay
90 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Social Psychology 244
- Artificial Intelligence 278
- Health Information Management 62
- Information Systems 164
- Health 57
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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 119 | |
| 2 | 2017 | 73 | |
| 3 | 2016 | 61 | |
| 4 | 2010 | 57 | |
| 5 | 2014 | 56 | |
| 6 | 2019 | 53 | |
| 7 | 2017 | 47 | |
| 8 | 2017 | 42 | |
| 9 | 2011 | 28 | |
| 10 | 2011 | 28 | |
| 11 | 2012 | 23 | |
| 12 | S 2 MP: similarity measure for sequential patterns | 2008 | 22 |
| 13 | 2019 | 22 | |
| 14 | 2011 | 21 | |
| 15 | Annotations: A Functionality to support Cooperation, Coordination and Awareness in the Electronic Medical Record | 2006 | 20 |
| 16 | 2014 | 20 | |
| 17 | 2019 | 20 | |
| 18 | 2014 | 18 | |
| 19 | 2022 | 18 | |
| 20 | 2021 | 17 |
About Sandra Bringay
Sandra Bringay is a scholar working on Information Systems, Artificial Intelligence, Health Information Management, Issues, ethics and legal aspects and Social Psychology, having authored 101 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (22 papers), Sentiment Analysis and Opinion Mining (13 papers), Mental Health via Writing (10 papers), Electronic Health Records Systems (8 papers), Biomedical Text Mining and Ontologies (6 papers), Misinformation and Its Impacts (6 papers), Health Literacy and Information Accessibility (6 papers) and Expert finding and Q&A systems (6 papers). The work is most often cited by research in Social Psychology (244 citations), Artificial Intelligence (278 citations), Health Information Management (62 citations), Information Systems (164 citations) and Health (57 citations). Sandra Bringay has collaborated with scholars based in France, Germany and Spain. Frequent co-authors include Jérôme Azé, Pascal Poncelet B, Maguelonne Teisseire, Caroline Mollevi, Paul Landais, Maximilien Servajean, Christian Lavergne, Jean Charlet, Thomas Opitz and Mathieu Roche A. Their work appears in journals such as Ecological Informatics, Journal of Biomedical Informatics, World Wide Web, Lecture notes in computer science and Expert Systems with Applications.
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.