Anne-Lyse Minard
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- General Social Sciences top 10%
Papers in
-
- Natural Language Processing Techniques 15
- Topic Modeling 14
- Semantic Web and Ontologies 8
- Speech and dialogue systems 2
- Linguistic Studies and Language Acquisition 1
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- Biomedical Text Mining and Ontologies 6
- Co-authors
- Manuela Speranza (11 shared papers)Marieke van Erp (3 shared papers)Rubén Urizar (2 shared papers)Germán Rigau (2 shared papers)Itziar Aldabe (2 shared papers)Bernardo Magnini (6 shared papers)Tommaso Caselli (2 shared papers)Eneko Agirre (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Knowledge-Based Systems (1 paper)Lecture notes in computer science (1 paper)Communications in computer and information science (1 paper)Cognitive technologies (1 paper)
In The Last Decade
Anne-Lyse Minard
22 papers receiving 268 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 287
- General Social Sciences 9
- Management Science and Operations Research 34
- Health Informatics 3
- Information Systems 32
Countries citing papers authored by Anne-Lyse Minard
This map shows the geographic impact of Anne-Lyse Minard'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 Anne-Lyse Minard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne-Lyse Minard more than expected).
Fields of papers citing papers by Anne-Lyse Minard
This network shows the impact of papers produced by Anne-Lyse Minard. 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 Anne-Lyse Minard. The network helps show where Anne-Lyse Minard may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne-Lyse Minard, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 77 | |
| 2 | 2015 | 58 | |
| 3 | 2016 | 56 | |
| 4 | 2011 | 35 | |
| 5 | Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020 | 2020 | 33 |
| 6 | 2016 | 16 | |
| 7 | 2015 | 8 | |
| 8 | 2017 | 7 | |
| 9 | 2015 | 6 | |
| 10 | 2016 | 6 | |
| 11 | 2014 | 6 | |
| 12 | TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP tasks | 2016 | 5 |
| 13 | 2015 | 5 | |
| 14 | 2016 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2018 | 1 |
About Anne-Lyse Minard
Anne-Lyse Minard is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Information Systems and Computer Networks and Communications, having authored 25 papers that have together received 332 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (14 papers), Semantic Web and Ontologies (8 papers), Biomedical Text Mining and Ontologies (6 papers), Artificial Intelligence in Healthcare (2 papers), Speech and dialogue systems (2 papers), Spam and Phishing Detection (1 paper) and Linguistic Studies and Language Acquisition (1 paper). The work is most often cited by research in Artificial Intelligence (287 citations), General Social Sciences (9 citations), Management Science and Operations Research (34 citations), Health Informatics (3 citations) and Information Systems (32 citations). Anne-Lyse Minard has collaborated with scholars based in France, Italy and Spain. Frequent co-authors include Manuela Speranza, Marieke van Erp, Rubén Urizar, Germán Rigau, Itziar Aldabe, Bernardo Magnini, Tommaso Caselli, Eneko Agirre, Paramita Mirza and Roxane Segers. Their work appears in journals such as Journal of the American Medical Informatics Association, Knowledge-Based Systems, Lecture notes in computer science, Communications in computer and information science and Cognitive technologies.
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.