Ricardo Ribeiro

41 total papers · 662 total citations
24 papers, 424 citations indexed

About

Ricardo Ribeiro is a scholar working on Computer Vision and Pattern Recognition, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Ricardo Ribeiro has authored 24 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Nuclear and High Energy Physics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Ricardo Ribeiro's work include Multimodal Machine Learning Applications (5 papers), Black Holes and Theoretical Physics (5 papers) and Image Enhancement Techniques (3 papers). Ricardo Ribeiro is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Black Holes and Theoretical Physics (5 papers) and Image Enhancement Techniques (3 papers). Ricardo Ribeiro collaborates with scholars based in Portugal, Brazil and United States. Ricardo Ribeiro's co-authors include D. Bazeia, Rui Tato Marinho, João Sanches, Jasjit S. Suri, S. Vinitha Sree, U. Rajendra Acharya, Ganapathy Krishnamurthi, António J. R. Neves, Alina Trifan and Alexandre Bernardino and has published in prestigious journals such as CHEST Journal, Sensors and Physics Letters A.

In The Last Decade

Ricardo Ribeiro

24 papers receiving 416 citations

Author Peers

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

Author						Papers	Cites
Ricardo Ribeiro	160	130	128	82	54	24	424
David Rideout	112 0.7×	201 1.5×	126 1.0×	94 1.1×	9 0.2×	20	411
A. Trías	304 1.9×	231 1.8×	102 0.8×	79 1.0×	8 0.1×	25	474
Donald Spector	121 0.8×	155 1.2×	54 0.4×	166 2.0×	12 0.2×	30	443
Richard E. Haskell	45 0.3×	21 0.2×	59 0.5×	118 1.4×	18 0.3×	46	462
Michael S. Albergo	157 1.0×	98 0.8×	21 0.2×	99 1.2×	24 0.4×	14	445
Matthew Yu	56 0.3×	40 0.3×	22 0.2×	20 0.2×	203 3.8×	18	385
D. Raju	230 1.4×	11 0.1×	132 1.0×	39 0.5×	21 0.4×	64	396
Chirag Modi	89 0.6×	62 0.5×	369 2.9×	12 0.1×	13 0.2×	29	478
J.M. Cook	32 0.2×	80 0.6×	20 0.2×	129 1.6×	5 0.1×	21	473
Jian Li	49 0.3×	26 0.2×	212 1.7×	20 0.2×	8 0.1×	45	407

Countries citing papers authored by Ricardo Ribeiro

Since Specialization

Citations

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

Fields of papers citing papers by Ricardo Ribeiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Ribeiro

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