Manya Afonso

1.8k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Manya Afonso is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Plant Science. According to data from OpenAlex, Manya Afonso has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 6 papers in Plant Science. Recurrent topics in Manya Afonso's work include Sparse and Compressive Sensing Techniques (8 papers), Image and Signal Denoising Methods (6 papers) and Smart Agriculture and AI (5 papers). Manya Afonso is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Image and Signal Denoising Methods (6 papers) and Smart Agriculture and AI (5 papers). Manya Afonso collaborates with scholars based in Portugal, Netherlands and India. Manya Afonso's co-authors include Mário A. T. Figueiredo, José M. Bioucas‐Dias, João Sanches, G. Polder, Ron Wehrens, Hubert Fonteijn, Pieter M. Blok, J.M. van der Wolf, Jacinto C. Nascimento and Jorge S. Marques and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Manya Afonso

18 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fast Image Recovery Using Variable Splitting and Constrained Optimization

2010 863 citations Manya Afonso, José M. Bioucas‐Dias et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manya Afonso Portugal	10	573	473	251	219	209	18	1.3k
Liming Yang China	20	437 0.8×	188 0.4×	135 0.5×	97 0.4×	87 0.4×	104	1.3k
Tomáš Suk Czechia	21	1.9k 3.3×	163 0.3×	98 0.4×	113 0.5×	504 2.4×	56	2.5k
S.S. Dlay United Kingdom	20	432 0.8×	183 0.4×	63 0.3×	85 0.4×	93 0.4×	141	1.4k
Zhihui Zhu United States	22	705 1.2×	590 1.2×	255 1.0×	38 0.2×	378 1.8×	97	1.6k
Leonid Yaroslavsky Israel	19	1.2k 2.1×	179 0.4×	160 0.6×	43 0.2×	696 3.3×	92	1.8k
Dang N. H. Thanh Vietnam	22	826 1.4×	83 0.2×	97 0.4×	35 0.2×	385 1.8×	106	1.4k
Yigang Peng China	9	1.4k 2.4×	1.0k 2.2×	192 0.8×	20 0.1×	392 1.9×	13	2.2k
Azam Karami Iran	14	348 0.6×	100 0.2×	95 0.4×	84 0.4×	312 1.5×	45	827
Sebastián López Spain	22	551 1.0×	70 0.1×	106 0.4×	47 0.2×	749 3.6×	115	1.3k
Umme Sara Bangladesh	5	544 0.9×	44 0.1×	141 0.6×	45 0.2×	211 1.0×	8	1.0k

Countries citing papers authored by Manya Afonso

Since Specialization

Citations

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

Fields of papers citing papers by Manya Afonso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manya Afonso

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

All Works

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18 of 18 papers shown

Afonso, Manya, et al.. (2024). Ultrasound Despeckling With GANs and Cross Modality Transfer Learning. IEEE Access. 12. 45811–45823. 4 indexed citations

Wehrens, Ron, et al.. (2023). Determining flower colors from images using artificial intelligence. Euphytica. 220(1). 1 indexed citations

Afonso, Manya, et al.. (2023). Automatic trait estimation in floriculture using computer vision and deep learning. SHILAP Revista de lepidopterología. 7. 100383–100383. 2 indexed citations

Fonteijn, Hubert, et al.. (2021). Automatic Phenotyping of Tomatoes in Production Greenhouses Using Robotics and Computer Vision: From Theory to Practice. Agronomy. 11(8). 1599–1599. 34 indexed citations

Afonso, Manya, et al.. (2020). Tomato Fruit Detection and Counting in Greenhouses Using Deep Learning. Frontiers in Plant Science. 11. 571299–571299. 166 indexed citations

Afonso, Manya, et al.. (2019). Deep learning based plant part detection in Greenhouse settings. Socio-Environmental Systems Modeling. 3 indexed citations

Afonso, Manya, et al.. (2019). Blackleg Detection in Potato Plants using Convolutional Neural Networks. IFAC-PapersOnLine. 52(30). 6–11. 38 indexed citations

Afonso, Manya & João Sanches. (2017). Adaptive Order Non-Convex L_p-norm Regularization in Image Restoration. Journal of Physics Conference Series. 904. 12016–12016. 2 indexed citations

Afonso, Manya & João Sanches. (2015). A total variation recursive space-variant filter for image denoising. Digital Signal Processing. 40. 101–116. 20 indexed citations

10.

Afonso, Manya & João Sanches. (2015). Blind Inpainting Using <inline-formula> <tex-math notation="LaTeX">$\ell _{0}$ </tex-math></inline-formula> and Total Variation Regularization. IEEE Transactions on Image Processing. 24(7). 2239–2253. 40 indexed citations

11.

Afonso, Manya & Jacinto C. Nascimento. (2015). Predictive multiple motion fields for trajectory completion: Application to surveillance systems. 2547–2551. 2 indexed citations

12.

Afonso, Manya & João Sanches. (2014). Image reconstruction under multiplicative speckle noise using total variation. Neurocomputing. 150. 200–213. 37 indexed citations

13.

Afonso, Manya, Jacinto C. Nascimento, & Jorge S. Marques. (2013). Automatic Estimation of Multiple Motion Fields From Video Sequences Using a Region Matching Based Approach. IEEE Transactions on Multimedia. 16(1). 1–14. 13 indexed citations

14.

Afonso, Manya, Jorge S. Marques, & Jacinto C. Nascimento. (2012). AUTOMATIC ESTIMATION OF MULTIPLE MOTION FIELDS USING OBJECT TRAJECTORIES AND OPTICAL FLOW. 457–462. 1 indexed citations

15.

Afonso, Manya, José M. Bioucas‐Dias, & Mário A. T. Figueiredo. (2011). Non-cyclic deconvolution using an augmented lagrangian method. 7446. 1–4. 3 indexed citations

16.

Afonso, Manya, José M. Bioucas‐Dias, & Mário A. T. Figueiredo. (2010). Fast Image Recovery Using Variable Splitting and Constrained Optimization. IEEE Transactions on Image Processing. 19(9). 2345–2356. 863 indexed citations breakdown →

17.

Afonso, Manya, José M. Bioucas‐Dias, & Mário A. T. Figueiredo. (2010). A fast algorithm for the constrained formulation of compressive image reconstruction and other linear inverse problems. arXiv (Cornell University). 1. 4034–4037. 22 indexed citations

18.

Afonso, Manya, José M. Bioucas‐Dias, & Mário A. T. Figueiredo. (2010). An augmented Lagrangian approach to linear inverse problems with compound regularization. 4169–4172. 15 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.

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