Carlos Cid

113 total papers · 1.8k total citations
33 papers, 237 citations indexed

About

Carlos Cid is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Carlos Cid has authored 33 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Carlos Cid's work include Coding theory and cryptography (12 papers), Cryptographic Implementations and Security (11 papers) and Chaos-based Image/Signal Encryption (9 papers). Carlos Cid is often cited by papers focused on Coding theory and cryptography (12 papers), Cryptographic Implementations and Security (11 papers) and Chaos-based Image/Signal Encryption (9 papers). Carlos Cid collaborates with scholars based in United Kingdom, France and Japan. Carlos Cid's co-authors include Jean‐Charles Faugère, Ling Song, Ludovic Perret, Tao Huang, Thomas Peyrin, M. Albrecht, Yu Sasaki, Robert Fitzpatrick, Patricio Felmer and Matthew J. B. Robshaw and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nonlinear Analysis and Journal of Algebra.

In The Last Decade

Carlos Cid

29 papers receiving 209 citations

Author Peers

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

Author						Papers	Cites
Carlos Cid	174	94	44	29	23	33	237
Huiqiang Jiang	152 0.9×	41 0.4×	39 0.9×	27 0.9×	8 0.3×	33	331
Louis Goubin	191 1.1×	75 0.8×	38 0.9×	37 1.3×	26 1.1×	18	213
Cuauhtémoc Mancillas-López	127 0.7×	192 2.0×	56 1.3×	18 0.6×	12 0.5×	23	257
Avishek Adhikari	169 1.0×	209 2.2×	51 1.2×	29 1.0×	31 1.3×	47	325
Christina Boura	210 1.2×	100 1.1×	23 0.5×	23 0.8×	17 0.7×	21	229
George Purdy	85 0.5×	76 0.8×	56 1.3×	60 2.1×	26 1.1×	39	284
Song Y. Yan	181 1.0×	61 0.6×	52 1.2×	85 2.9×	10 0.4×	34	255
Har Narayan Upadhyay	64 0.4×	236 2.5×	64 1.5×	17 0.6×	19 0.8×	46	328
Carter Bays	78 0.4×	51 0.5×	105 2.4×	28 1.0×	5 0.2×	34	317
Alfredo Viola	146 0.8×	32 0.3×	68 1.5×	10 0.3×	51 2.2×	28	266

Countries citing papers authored by Carlos Cid

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Cid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Cid

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