Ricardo Cabral

832 total citations
9 papers, 524 citations indexed

About

Ricardo Cabral is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Ricardo Cabral has authored 9 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 2 papers in Aerospace Engineering. Recurrent topics in Ricardo Cabral's work include Advanced Image and Video Retrieval Techniques (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Advanced Vision and Imaging (3 papers). Ricardo Cabral is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Advanced Vision and Imaging (3 papers). Ricardo Cabral collaborates with scholars based in United States, Portugal and China. Ricardo Cabral's co-authors include João Paulo Costeira, Alexandre Bernardino, Fernando De la Torre, Yasutaka Furukawa, Fernando De la Torre, Dong Huang, Ji Zhao, Jayakorn Vongkulbhisal and Gustavo Carneiro and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Neural Information Processing Systems.

In The Last Decade

Ricardo Cabral

9 papers receiving 513 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ricardo Cabral United States	6	360	178	160	70	69	9	524
Oliver J. Woodford United Kingdom	14	562 1.6×	210 1.2×	62 0.4×	149 2.1×	26 0.4×	23	788
Jianwen Jiang China	8	246 0.7×	187 1.1×	82 0.5×	51 0.7×	22 0.3×	9	440
Bogdan Savchynskyy Germany	11	366 1.0×	200 1.1×	57 0.4×	88 1.3×	28 0.4×	23	552
Abderrahim Saaidi Morocco	17	595 1.7×	107 0.6×	49 0.3×	147 2.1×	18 0.3×	71	694
Johannes Günther Germany	11	412 1.1×	43 0.2×	257 1.6×	38 0.5×	77 1.1×	22	679
Nabil El Akkad Morocco	17	411 1.1×	160 0.9×	19 0.1×	76 1.1×	28 0.4×	62	613
Olivier Duchenne France	9	717 2.0×	269 1.5×	38 0.2×	118 1.7×	141 2.0×	10	805
Muzammal Naseer United Arab Emirates	13	398 1.1×	364 2.0×	18 0.1×	48 0.7×	71 1.0×	36	702
Yong-Qing Cheng China	11	418 1.2×	67 0.4×	26 0.2×	43 0.6×	86 1.2×	30	535

Countries citing papers authored by Ricardo Cabral

Since Specialization

Citations

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

Fields of papers citing papers by Ricardo Cabral

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Cabral

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Cabral. A scholar is included among the top collaborators of Ricardo Cabral 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 Cabral. Ricardo Cabral is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Vongkulbhisal, Jayakorn, Ricardo Cabral, Fernando De la Torre, & João Paulo Costeira. (2016). Motion from Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories. 82. 5639–5647. 3 indexed citations

Zhao, Ji, et al.. (2016). Feature and Region Selection for Visual Learning. IEEE Transactions on Image Processing. 25(3). 1084–1094. 14 indexed citations

Huang, Dong, et al.. (2015). Robust Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(2). 363–375. 59 indexed citations

Cabral, Ricardo, Fernando De la Torre, João Paulo Costeira, & Alexandre Bernardino. (2014). Matrix Completion for Weakly-Supervised Multi-Label Image Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(1). 121–135. 118 indexed citations

Cabral, Ricardo & Yasutaka Furukawa. (2014). Piecewise Planar and Compact Floorplan Reconstruction from Images. 628–635. 79 indexed citations

Cabral, Ricardo, Fernando De la Torre, João Paulo Costeira, & Alexandre Bernardino. (2013). Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition. 2488–2495. 125 indexed citations

Cabral, Ricardo, Fernando De la Torre, João Paulo Costeira, & Alexandre Bernardino. (2011). Matrix Completion for Multi-label Image Classification. Neural Information Processing Systems. 24. 190–198. 118 indexed citations

Cabral, Ricardo, João Paulo Costeira, Fernando De la Torre, & Alexandre Bernardino. (2011). Fast incremental method for matrix completion: An application to trajectory correction. 1417–1420. 5 indexed citations

Cabral, Ricardo, João Paulo Costeira, Fernando De la Torre, Alexandre Bernardino, & Gustavo Carneiro. (2011). Time and order estimation of paintings based on visual features and expert priors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7869. 78690G–78690G. 3 indexed citations

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.

Explore authors with similar magnitude of impact