Javier Arroyo

352 total papers · 1.5k total citations
40 papers, 906 citations indexed

About

Javier Arroyo is a scholar working on Information Systems, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Javier Arroyo has authored 40 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 11 papers in Management Science and Operations Research and 9 papers in Artificial Intelligence. Recurrent topics in Javier Arroyo's work include Stock Market Forecasting Methods (9 papers), Blockchain Technology Applications and Security (9 papers) and Complex Systems and Time Series Analysis (7 papers). Javier Arroyo is often cited by papers focused on Stock Market Forecasting Methods (9 papers), Blockchain Technology Applications and Security (9 papers) and Complex Systems and Time Series Analysis (7 papers). Javier Arroyo collaborates with scholars based in Spain, United States and Italy. Javier Arroyo's co-authors include Carlos Maté, Samer Hassan, María Jesús Segovia Vargas, Rosa Espínola, Antonio Muñoz San Roque, Guillermo Jiménez-Díaz, Gloria González‐Rivera, Matilde Santos, Juan A. Recio-García and Francesco Corea and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Journal of the Association for Information Systems.

In The Last Decade

Javier Arroyo

40 papers receiving 870 citations

Author Peers

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

Author						Papers	Cites
Javier Arroyo	263	248	234	173	125	40	906
Youngohc Yoon	243 0.9×	238 1.0×	129 0.6×	85 0.5×	219 1.8×	23	915
Noura Metawa	220 0.8×	219 0.9×	101 0.4×	247 1.4×	94 0.8×	41	937
Tie Li	169 0.6×	94 0.4×	148 0.6×	122 0.7×	55 0.4×	37	741
Adiel Teixeira de Almeida Filho	157 0.6×	487 2.0×	71 0.3×	87 0.5×	102 0.8×	60	1.0k
William Leigh	149 0.6×	442 1.8×	55 0.2×	247 1.4×	120 1.0×	33	782
Ching-Chiang Yeh	335 1.3×	272 1.1×	80 0.3×	82 0.5×	91 0.7×	26	1.0k
Rongda Chen	172 0.7×	188 0.8×	91 0.4×	506 2.9×	78 0.6×	67	994
Dawei Cheng	583 2.2×	240 1.0×	180 0.8×	89 0.5×	40 0.3×	76	1.0k
Georgios Sermpinis	224 0.9×	554 2.2×	72 0.3×	432 2.5×	63 0.5×	59	981
Pedro Sampaio	205 0.8×	91 0.4×	260 1.1×	57 0.3×	146 1.2×	58	736

Countries citing papers authored by Javier Arroyo

Since Specialization

Citations

This map shows the geographic impact of Javier Arroyo'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 Javier Arroyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Arroyo more than expected).

Fields of papers citing papers by Javier Arroyo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Arroyo. 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 Javier Arroyo. The network helps show where Javier Arroyo may publish in the future.

Co-authorship network of co-authors of Javier Arroyo

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Arroyo. A scholar is included among the top collaborators of Javier Arroyo 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 Javier Arroyo. Javier Arroyo 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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