Matías Gámez
- 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 GarcíaEsteban AlfaroDavid ElizondoIndranil GhoshJosé Luis Alfaro NavarroJosé‐María MonteroTamal Datta ChaudhuriBeatriz Larraz
- Topics
- Housing Market and Economics (6 papers)Market Dynamics and Volatility (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
Matías Gámez
33 papers receiving 699 citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 271
- Accounting 212
- Economics and Econometrics 178
- Management Science and Operations Research 130
- Finance 105
Countries citing papers authored by Matías Gámez
This map shows the geographic impact of Matías Gámez'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 Matías Gámez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matías Gámez more than expected).
Fields of papers citing papers by Matías Gámez
This network shows the impact of papers produced by Matías Gámez. 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 Matías Gámez. The network helps show where Matías Gámez may publish in the future.
Co-authorship network of co-authors of Matías Gámez
This figure shows the co-authorship network connecting the top 25 collaborators of Matías Gámez. A scholar is included among the top collaborators of Matías Gámez 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 Matías Gámez. Matías Gámez 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 | 1 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 40 | |
| 9 | 14 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 32 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | Análisis de la persistencia en rentabilidad de los FIAMM y de los determinantes de sus comisiones | 1 |
| 17 | 223 | |
| 18 | 45 | |
| 19 | 0 | |
| 20 | Nuevas técnicas de estadística espacial para la economía. Modelización del precio de la vivienda libre en la ciudad de Albacete | 3 |
About Matías Gámez
Matías Gámez is a scholar working on Economics and Econometrics, Accounting and Statistics, Probability and Uncertainty, having authored 34 papers that have together received 746 indexed citations. Recurring topics across this work include Housing Market and Economics (6 papers), Market Dynamics and Volatility (6 papers) and Stock Market Forecasting Methods (5 papers). The work is most often cited by research in Accounting (212 citations), Management Science and Operations Research (130 citations) and Finance (105 citations). Matías Gámez has collaborated with scholars based in Spain, India and United Kingdom. Frequent co-authors include Noelia García, Esteban Alfaro, David Elizondo, Indranil Ghosh, José Luis Alfaro Navarro, José‐María Montero, Tamal Datta Chaudhuri, Beatriz Larraz, Emilio L. Cano and Joaquı́n Pacheco. 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.