Célia Nunes
Impact in
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- Sports Performance and Training
- Sports injuries and prevention
- Artificial Intelligence top 5%
- Advanced Text Analysis Techniques
- Topic Modeling
Papers in
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- Advanced Statistical Methods and Models 9
- Statistical Methods and Inference 8
- Statistical Methods and Bayesian Inference 7
- Statistical Methods in Clinical Trials 5
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- Bayesian Methods and Mixture Models 7
- Co-authors
- Ricardo Campos (5 shared papers)Alípio Jorge (4 shared papers)Arian Pasquali (1 shared paper)Vítor Mangaravite (1 shared paper)Adam Jatowt (1 shared paper)Sandra S. Ferreira (30 shared papers)João T. Mexia (35 shared papers)Henrique P. Neiva (9 shared papers)
In The Last Decade
Célia Nunes
63 papers receiving 786 citations
Célia Nunes's Hit Papers
Peers
Comparison fields: 5 of 113
- Orthopedics and Sports Medicine 103
- Artificial Intelligence 365
- Statistics and Probability 89
- Complementary and alternative medicine 50
- Information Systems 122
Countries citing papers authored by Célia Nunes
This map shows the geographic impact of Célia Nunes'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 Célia Nunes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Célia Nunes more than expected).
Fields of papers citing papers by Célia Nunes
This network shows the impact of papers produced by Célia Nunes. 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 Célia Nunes. The network helps show where Célia Nunes may publish in the future.
Co-authors
The 25 scholars most cited alongside Célia Nunes, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | YAKE! Keyword extraction from single documents using multiple local features Hit paper breakdown → | 2019 | 350 |
| 2 | 2018 | 38 | |
| 3 | 2023 | 32 | |
| 4 | 2020 | 25 | |
| 5 | 2019 | 23 | |
| 6 | 2010 | 22 | |
| 7 | 2019 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2019 | 16 | |
| 10 | 2021 | 16 | |
| 11 | 2017 | 14 | |
| 12 | 2013 | 14 | |
| 13 | 2011 | 13 | |
| 14 | 2015 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2006 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2010 | 9 |
About Célia Nunes
Célia Nunes is a scholar working on Statistics and Probability, Artificial Intelligence, Orthopedics and Sports Medicine, Management Science and Operations Research and Cardiology and Cardiovascular Medicine, having authored 72 papers that have together received 812 indexed citations. Recurring topics across this work include Sports Performance and Training (10 papers), Advanced Statistical Methods and Models (9 papers), Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (7 papers), Optimal Experimental Design Methods (7 papers), Statistical Methods in Clinical Trials (5 papers) and Sports injuries and prevention (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (103 citations), Artificial Intelligence (365 citations), Statistics and Probability (89 citations), Complementary and alternative medicine (50 citations) and Information Systems (122 citations). Célia Nunes has collaborated with scholars based in Portugal, Brazil and Spain. Frequent co-authors include Ricardo Campos, Alípio Jorge, Arian Pasquali, Vítor Mangaravite, Adam Jatowt, Sandra S. Ferreira, João T. Mexia, Henrique P. Neiva, Daniel A. Marinho and Pedro Antunes. Their work appears in journals such as Journal of Statistical Computation and Simulation, The Journal of Strength and Conditioning Research, PLoS ONE, Journal of Computational and Applied Mathematics and Linear Algebra and its 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.