Javier Pereira

244 total papers · 1.8k total citations
121 papers, 1.1k citations indexed

About

Javier Pereira is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Javier Pereira has authored 121 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Sociology and Political Science. Recurrent topics in Javier Pereira's work include Cerebral Palsy and Movement Disorders (9 papers), Assistive Technology in Communication and Mobility (8 papers) and Virtual Reality Applications and Impacts (7 papers). Javier Pereira is often cited by papers focused on Cerebral Palsy and Movement Disorders (9 papers), Assistive Technology in Communication and Mobility (8 papers) and Virtual Reality Applications and Impacts (7 papers). Javier Pereira collaborates with scholars based in Spain, Portugal and Chile. Javier Pereira's co-authors include J.J.M. Órfão, M. Fernando R. Pereira, P.C.C. Faria, Isabel Fonseca, Thais Pousada, Alejandro Pazos, Julián Dorado, Marcos Martínez-Romero, Juan R. Rabuñal and Octavian Postolache and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Javier Pereira

105 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Javier Pereira	221	92	89	78	78	121	1.1k
Die Hu	110 0.5×	41 0.4×	7 0.1×	90 1.2×	214 2.7×	87	1.2k
Na Luo	21 0.1×	22 0.2×	59 0.7×	121 1.6×	114 1.5×	96	1.2k
Yao Li	122 0.6×	84 0.9×	49 0.6×	555 7.1×	163 2.1×	117	1.4k
Minjung Lee	23 0.1×	49 0.5×	41 0.5×	107 1.4×	308 3.9×	80	1.5k
Yiwen Cui	36 0.2×	53 0.6×	16 0.2×	179 2.3×	252 3.2×	59	947
Xiangyun Liu	71 0.3×	33 0.4×	11 0.1×	235 3.0×	144 1.8×	121	1.3k
Qilin Liu	67 0.3×	26 0.3×	9 0.1×	175 2.2×	106 1.4×	87	1.2k
Zifeng Liu	63 0.3×	28 0.3×	22 0.2×	117 1.5×	196 2.5×	83	958
Robert Williams	18 0.1×	77 0.8×	68 0.8×	221 2.8×	106 1.4×	59	1.2k
Jing Liu	59 0.3×	72 0.8×	23 0.3×	173 2.2×	242 3.1×	83	1.3k

Countries citing papers authored by Javier Pereira

Since Specialization

Citations

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

Fields of papers citing papers by Javier Pereira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Pereira

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