Esteban Alfaro
- Artificial Intelligence top 5%
- Accounting top 5%
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Finance top 5%
- Co-authors
- Noelia GarcíaMatías GámezDavid ElizondoJosé Luis Alfaro NavarroIndranil GhoshMontserrat Manzaneque LizanoAlba María Priego de la CruzTamal Datta Chaudhuri
- Topics
- Market Dynamics and Volatility (6 papers)Imbalanced Data Classification Techniques (6 papers)Stock Market Forecasting Methods (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsTechnological Forecasting and Social Change
- Partner nations
- SpainIndiaUnited Kingdom
In The Last Decade
Esteban Alfaro
37 papers receiving 767 citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 279
- Accounting 237
- Economics and Econometrics 201
- Management Science and Operations Research 139
- Finance 113
Countries citing papers authored by Esteban Alfaro
This map shows the geographic impact of Esteban Alfaro'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 Esteban Alfaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esteban Alfaro more than expected).
Fields of papers citing papers by Esteban Alfaro
This network shows the impact of papers produced by Esteban Alfaro. 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 Esteban Alfaro. The network helps show where Esteban Alfaro may publish in the future.
Co-authorship network of co-authors of Esteban Alfaro
This figure shows the co-authorship network connecting the top 25 collaborators of Esteban Alfaro. A scholar is included among the top collaborators of Esteban Alfaro 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 Esteban Alfaro. Esteban Alfaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 40 | |
| 6 | 14 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 32 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 32 | |
| 13 | 3 | |
| 14 | USO DEL METAHEURÍSTICO GRASP EN LA CONSTRUCCIÓN DE ÁRBOLES DE CLASIFICACIÓN | 1 |
| 15 | 3 | |
| 16 | Análisis de la persistencia en rentabilidad de los FIAMM y de los determinantes de sus comisiones | 1 |
| 17 | 223 | |
| 18 | 45 | |
| 19 | Evolución temporal de las macromagnitudes agrarias en Castilla-La Mancha | 0 |
| 20 | 0 |
About Esteban Alfaro
Esteban Alfaro is a scholar working on Accounting, Economics and Econometrics and Statistics, Probability and Uncertainty, having authored 39 papers that have together received 818 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (6 papers), Imbalanced Data Classification Techniques (6 papers) and Stock Market Forecasting Methods (5 papers). The work is most often cited by research in Accounting (237 citations), Finance (113 citations) and Management Science and Operations Research (139 citations). Esteban Alfaro has collaborated with scholars based in Spain, India and United Kingdom. Frequent co-authors include Noelia García, Matías Gámez, David Elizondo, José Luis Alfaro Navarro, Indranil Ghosh, Montserrat Manzaneque Lizano, Alba María Priego de la Cruz, Tamal Datta Chaudhuri, Beatriz Larraz and Emilio L. Cano. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Technological Forecasting and Social Change.
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.