Núria Macià
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Machine Learning and Algorithms
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
Papers in
-
- Machine Learning and Data Classification 6
- Evolutionary Algorithms and Applications 5
- Imbalanced Data Classification Techniques 4
- Machine Learning and Algorithms 4
- Metaheuristic Optimization Algorithms Research 3
-
- Human Mobility and Location-Based Analysis 2
- Transportation Planning and Optimization 2
- Co-authors
- Ester Bernadó-Mansilla (6 shared papers)Albert Orriols-Puig (5 shared papers)Tin Kam Ho (2 shared papers)Evelyne Viegas (2 shared papers)Isabelle Guyon (2 shared papers)Sérgio Escalera (2 shared papers)Hugo Jair Escalante (2 shared papers)Bisakha Ray (2 shared papers)
- Journals
- Information Sciences (1 paper)Toxicology Letters (1 paper)BMJ (1 paper)Pattern Recognition (1 paper)SPIRE - Sciences Po Institutional REpository (1 paper)
- Partner nations
- SpainUnited StatesMexico
In The Last Decade
Núria Macià
12 papers receiving 255 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 163
- Toxicology 11
- Reproductive Medicine 18
- Health Information Management 8
- Health Informatics 2
Countries citing papers authored by Núria Macià
This map shows the geographic impact of Núria Macià'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 Núria Macià with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Núria Macià more than expected).
Fields of papers citing papers by Núria Macià
This network shows the impact of papers produced by Núria Macià. 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 Núria Macià. The network helps show where Núria Macià may publish in the future.
Co-authors
The 25 scholars most cited alongside Núria Macià, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 59 | |
| 2 | 2013 | 51 | |
| 3 | 2009 | 38 | |
| 4 | 2012 | 29 | |
| 5 | A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention | 2016 | 28 |
| 6 | 2008 | 14 | |
| 7 | 2008 | 14 | |
| 8 | 2010 | 14 | |
| 9 | 2018 | 9 | |
| 10 | 2013 | 5 | |
| 11 | 2020 | 2 | |
| 12 | 2009 | 1 |
About Núria Macià
Núria Macià is a scholar working on Artificial Intelligence, Transportation, Pharmacology, Cardiology and Cardiovascular Medicine and Clinical Psychology, having authored 12 papers that have together received 264 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (6 papers), Evolutionary Algorithms and Applications (5 papers), Imbalanced Data Classification Techniques (4 papers), Machine Learning and Algorithms (4 papers), Metaheuristic Optimization Algorithms Research (3 papers), Human Mobility and Location-Based Analysis (2 papers), Transportation Planning and Optimization (2 papers) and Evacuation and Crowd Dynamics (1 paper). The work is most often cited by research in Artificial Intelligence (163 citations), Toxicology (11 citations), Reproductive Medicine (18 citations), Health Information Management (8 citations) and Health Informatics (2 citations). Núria Macià has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include Ester Bernadó-Mansilla, Albert Orriols-Puig, Tin Kam Ho, Evelyne Viegas, Isabelle Guyon, Sérgio Escalera, Hugo Jair Escalante, Bisakha Ray, Alexander Statnikov and Kristin P. Bennett. Their work appears in journals such as Information Sciences, Toxicology Letters, BMJ, Pattern Recognition and SPIRE - Sciences Po Institutional REpository.
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.