Noelia García

71 total papers · 1.3k total citations
42 papers, 908 citations indexed

About

Noelia García is a scholar working on Economics and Econometrics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Noelia García has authored 42 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Economics and Econometrics, 9 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Noelia García's work include Market Dynamics and Volatility (6 papers), Imbalanced Data Classification Techniques (5 papers) and Stock Market Forecasting Methods (5 papers). Noelia García is often cited by papers focused on Market Dynamics and Volatility (6 papers), Imbalanced Data Classification Techniques (5 papers) and Stock Market Forecasting Methods (5 papers). Noelia García collaborates with scholars based in Spain, India and United Kingdom. Noelia García's co-authors include Matías Gámez, Esteban Alfaro, David Elizondo, Indranil Ghosh, Javier Moreno‐Montañés, Javier Zarranz‐Ventura, José Luis Alfaro Navarro, José‐María Montero, Beatriz Larraz and Pablo Fernández‐Berrocal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Environmental Research and Public Health.

In The Last Decade

Noelia García

41 papers receiving 850 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Noelia García	267	210	179	135	127	42	908
David Martínez‐Rego	342 1.3×	12 0.1×	119 0.7×	21 0.2×	87 0.7×	28	926
Robert Pavur	117 0.4×	52 0.2×	72 0.4×	21 0.2×	119 0.9×	78	958
Rainer Schwabe	98 0.4×	21 0.1×	242 1.4×	36 0.3×	374 2.9×	89	867
Philippe du Jardin	341 1.3×	527 2.5×	76 0.4×	3 0.0×	148 1.2×	32	937
Xi Liu	96 0.4×	7 0.0×	50 0.3×	53 0.4×	80 0.6×	67	719
Md Altab Hossin	161 0.6×	12 0.1×	154 0.9×	27 0.2×	38 0.3×	90	991
Tieming Liu	161 0.6×	18 0.1×	26 0.1×	21 0.2×	70 0.6×	65	950
Yi Sun	263 1.0×	32 0.2×	268 1.5×	2 0.0×	132 1.0×	35	893
José Ignacio Peláez	266 1.0×	39 0.2×	70 0.4×	6 0.0×	377 3.0×	74	971
Feng Li	107 0.4×	254 1.2×	148 0.8×	2 0.0×	184 1.4×	53	1.0k

Countries citing papers authored by Noelia García

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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