G. Romero

70 total papers · 981 total citations
24 papers, 402 citations indexed

About

G. Romero is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, G. Romero has authored 24 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in G. Romero's work include Evolutionary Algorithms and Applications (9 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Neural Networks and Applications (6 papers). G. Romero is often cited by papers focused on Evolutionary Algorithms and Applications (9 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Neural Networks and Applications (6 papers). G. Romero collaborates with scholars based in Spain, Mexico and Brazil. G. Romero's co-authors include Pedro Á. Castillo, J. J. Merelo, A. Prieto, Víctor M. Rivas, Ignacio Rojas, M. G. Arenas, Jesús González, Antonio M. Mora, H. Pomares and Pablo García‐Sánchez and has published in prestigious journals such as Information Sciences, Computer Physics Communications and Neurocomputing.

In The Last Decade

G. Romero

22 papers receiving 377 citations

Author Peers

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

Author						Papers	Cites
G. Romero	210	54	48	47	45	24	402
Francisco Herrera Triguero	200 1.0×	59 1.1×	29 0.6×	44 0.9×	45 1.0×	26	380
Bin Sun	127 0.6×	75 1.4×	66 1.4×	30 0.6×	48 1.1×	22	349
Chao Chen	175 0.8×	43 0.8×	51 1.1×	32 0.7×	25 0.6×	33	440
Urszula Boryczka	155 0.7×	35 0.6×	39 0.8×	65 1.4×	42 0.9×	35	367
Paweł Wawrzyński	204 1.0×	85 1.6×	46 1.0×	56 1.2×	47 1.0×	27	415
Cyril Fonlupt	224 1.1×	64 1.2×	31 0.6×	21 0.4×	74 1.6×	29	387
Sanchita Basak	153 0.7×	50 0.9×	80 1.7×	23 0.5×	53 1.2×	13	424
Mihai Florea	147 0.7×	68 1.3×	28 0.6×	42 0.9×	41 0.9×	34	377
Mohammed Essaid Riffi	185 0.9×	45 0.8×	38 0.8×	22 0.5×	52 1.2×	37	366
Camelia-M. Pintea	190 0.9×	44 0.8×	16 0.3×	30 0.6×	42 0.9×	46	431

Countries citing papers authored by G. Romero

Since Specialization

Citations

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

Fields of papers citing papers by G. Romero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Romero

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