C. J. Carmona

83 total papers · 1.4k total citations
46 papers, 910 citations indexed

About

C. J. Carmona is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, C. J. Carmona has authored 46 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 27 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in C. J. Carmona's work include Data Mining Algorithms and Applications (26 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Fuzzy Logic and Control Systems (9 papers). C. J. Carmona is often cited by papers focused on Data Mining Algorithms and Applications (26 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Fuzzy Logic and Control Systems (9 papers). C. J. Carmona collaborates with scholars based in Spain, United Kingdom and Saudi Arabia. C. J. Carmona's co-authors include María José del Jesús, Francisco Herrera, Pedro González, Isaac Triguero, Salvador García, Alberto Fernández, Enrique Bernal, Sergio Ramírez‐Gallego, Antonio J. Rivera and María Dolores Pérez-Godoy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

In The Last Decade

C. J. Carmona

41 papers receiving 857 citations

Author Peers

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

Author						Papers	Cites
C. J. Carmona	650	385	111	109	81	46	910
Show‐Jane Yen	603 0.9×	344 0.9×	162 1.5×	156 1.4×	105 1.3×	40	933
Yue‐Shi Lee	655 1.0×	241 0.6×	91 0.8×	157 1.4×	74 0.9×	61	1.0k
Francisco Charte	675 1.0×	232 0.6×	41 0.4×	81 0.7×	68 0.8×	42	991
Man Leung Wong	665 1.0×	165 0.4×	157 1.4×	39 0.4×	51 0.6×	45	993
Yun Sing Koh	631 1.0×	397 1.0×	144 1.3×	59 0.5×	156 1.9×	83	982
Cheng‐Jung Tsai	442 0.7×	252 0.7×	112 1.0×	29 0.3×	131 1.6×	27	766
Pramod Kumar Singh	570 0.9×	212 0.6×	138 1.2×	41 0.4×	35 0.4×	62	938
Zied Elouedi	516 0.8×	194 0.5×	181 1.6×	30 0.3×	90 1.1×	64	876
Silvia Chiusano	262 0.4×	237 0.6×	132 1.2×	313 2.9×	86 1.1×	89	873
Pedro González	465 0.7×	348 0.9×	108 1.0×	20 0.2×	60 0.7×	45	815

Countries citing papers authored by C. J. Carmona

Since Specialization

Citations

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

Fields of papers citing papers by C. J. Carmona

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. J. Carmona. 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 C. J. Carmona. The network helps show where C. J. Carmona may publish in the future.

Co-authorship network of co-authors of C. J. Carmona

This figure shows the co-authorship network connecting the top 25 collaborators of C. J. Carmona. A scholar is included among the top collaborators of C. J. Carmona 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 C. J. Carmona. C. J. Carmona 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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