Eduardo Carrillo

86 total papers · 512 total citations
36 papers, 359 citations indexed

About

Eduardo Carrillo is a scholar working on Information Systems, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Eduardo Carrillo has authored 36 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 5 papers in Artificial Intelligence and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Eduardo Carrillo's work include E-Learning and Knowledge Management (5 papers), Semantic Web and Ontologies (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Eduardo Carrillo is often cited by papers focused on E-Learning and Knowledge Management (5 papers), Semantic Web and Ontologies (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Eduardo Carrillo collaborates with scholars based in Colombia, Spain and Venezuela. Eduardo Carrillo's co-authors include Roberto Lanes, Anselmo Palacios, Omar Villaroel, Mariela Paoli, Peter Günczler, Arlette Soros, J. Javier Samper, Bruno de Sousa, Óscar Becerra and Néstor Darío Duque Méndez and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and The Journal of Pediatrics.

In The Last Decade

Eduardo Carrillo

27 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Eduardo Carrillo	138	78	52	41	39	36	359
R.J.M. Ross	83 0.6×	31 0.4×	39 0.8×	22 0.5×	71 1.8×	23	363
Søren Kejser Jensen	72 0.5×	23 0.3×	50 1.0×	21 0.5×	10 0.3×	24	384
Tao Shan	43 0.3×	65 0.8×	17 0.3×	67 1.6×	10 0.3×	37	345
Jingwen Fan	52 0.4×	26 0.3×	11 0.2×	24 0.6×	69 1.8×	37	306
Hüseyin Demirci	121 0.9×	14 0.2×	17 0.3×	103 2.5×	26 0.7×	30	401
Zeqing Zhang	95 0.7×	68 0.9×	8 0.2×	71 1.7×	36 0.9×	32	376
Carlos A. Velasco	58 0.4×	19 0.2×	10 0.2×	18 0.4×	22 0.6×	46	338
Hsiu-An Lee	31 0.2×	46 0.6×	11 0.2×	11 0.3×	99 2.5×	35	371
Deniz Ünal	35 0.3×	14 0.2×	41 0.8×	48 1.2×	10 0.3×	31	390
Jinzhi Ouyang	229 1.7×	22 0.3×	17 0.3×	73 1.8×	19 0.5×	29	367

Countries citing papers authored by Eduardo Carrillo

Since Specialization

Citations

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

Fields of papers citing papers by Eduardo Carrillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Carrillo

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