Noelia García
- Artificial Intelligence top 5%
- Accounting top 5%
- Economics and Econometrics top 5%
- Ophthalmology top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Matías GámezEsteban AlfaroDavid ElizondoIndranil GhoshJavier Moreno‐MontañésJavier Zarranz‐VenturaJosé Luis Alfaro NavarroJosé‐María Montero
- Topics
- Market Dynamics and Volatility (6 papers)Stock Market Forecasting Methods (5 papers)Imbalanced Data Classification Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInternational Journal of Environmental Research and Public Health
- Partner nations
- SpainIndiaUnited Kingdom
In The Last Decade
Noelia García
41 papers receiving 865 citations
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 272
- Accounting 212
- Economics and Econometrics 182
- Ophthalmology 135
- Management Science and Operations Research 130
Countries citing papers authored by Noelia García
This map shows the geographic impact of Noelia García'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 Noelia García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noelia García more than expected).
Fields of papers citing papers by Noelia García
This network shows the impact of papers produced by Noelia García. 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 Noelia García. The network helps show where Noelia García may publish in the future.
Co-authorship network of co-authors of Noelia García
This figure shows the co-authorship network connecting the top 25 collaborators of Noelia García. A scholar is included among the top collaborators of Noelia García based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Noelia García. Noelia García is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 40 | |
| 9 | 14 | |
| 10 | 32 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | USO DEL METAHEURÍSTICO GRASP EN LA CONSTRUCCIÓN DE ÁRBOLES DE CLASIFICACIÓN | 1 |
| 14 | 74 | |
| 15 | 30 | |
| 16 | 3 | |
| 17 | Análisis de la persistencia en rentabilidad de los FIAMM y de los determinantes de sus comisiones | 1 |
| 18 | 26 | |
| 19 | 45 | |
| 20 | 0 |
About Noelia García
Noelia García is a scholar working on Accounting, Ophthalmology and Economics and Econometrics, having authored 42 papers that have together received 923 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (6 papers), Stock Market Forecasting Methods (5 papers) and Imbalanced Data Classification Techniques (5 papers). The work is most often cited by research in Accounting (212 citations), Ophthalmology (135 citations) and Management Science and Operations Research (130 citations). Noelia García has collaborated with scholars based in Spain, India and United Kingdom. Frequent co-authors include Matías Gámez, Esteban Alfaro, David Elizondo, Indranil Ghosh, Javier Moreno‐Montañés, Javier Zarranz‐Ventura, José Luis Alfaro Navarro, José‐María Montero, Tamal Datta Chaudhuri and Pablo Fernández‐Berrocal. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Environmental Research and Public Health.
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.