Diego Mesquita

68 total papers · 452 total citations
24 papers, 225 citations indexed

About

Diego Mesquita is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Diego Mesquita has authored 24 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Diego Mesquita's work include Machine Learning and ELM (9 papers), Face and Expression Recognition (7 papers) and Neural Networks and Applications (6 papers). Diego Mesquita is often cited by papers focused on Machine Learning and ELM (9 papers), Face and Expression Recognition (7 papers) and Neural Networks and Applications (6 papers). Diego Mesquita collaborates with scholars based in Brazil, Finland and Sweden. Diego Mesquita's co-authors include João P. P. Gomes, Amauri H. Souza, Juvêncio S. Nobre, Leonardo Ramos Rodrigues, Roberto Kawakami Harrop Galvão, Ajalmar R. Rocha Neto, Lincoln S. Rocha, Samuel Kaski, Francesco Corona and César Mattos and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Electronics Letters.

In The Last Decade

Diego Mesquita

20 papers receiving 222 citations

Author Peers

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

Author						Papers	Cites
Diego Mesquita	123	40	35	22	21	24	225
Soumadip Ghosh	139 1.1×	32 0.8×	39 1.1×	16 0.7×	15 0.7×	23	309
Alexander Borisov	124 1.0×	48 1.2×	29 0.8×	15 0.7×	12 0.6×	12	278
Manal A. Ismail	87 0.7×	36 0.9×	39 1.1×	12 0.5×	9 0.4×	30	277
N. P. Krasnenko	41 0.3×	26 0.7×	33 0.9×	24 1.1×	48 2.3×	38	252
Md. Nasim Adnan	105 0.9×	28 0.7×	48 1.4×	13 0.6×	28 1.3×	23	244
Serafín Moral‐García	136 1.1×	20 0.5×	40 1.1×	15 0.7×	11 0.5×	22	261
Vipin Kumar	63 0.5×	23 0.6×	54 1.5×	14 0.6×	12 0.6×	26	266
Charlie Obimbo	119 1.0×	73 1.8×	64 1.8×	31 1.4×	28 1.3×	32	289
Le Wang	113 0.9×	29 0.7×	44 1.3×	28 1.3×	49 2.3×	14	296
Ch. Sanjeev Kumar Dash	91 0.7×	25 0.6×	20 0.6×	28 1.3×	7 0.3×	15	253

Countries citing papers authored by Diego Mesquita

Since Specialization

Citations

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

Fields of papers citing papers by Diego Mesquita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Mesquita

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