Jesús Pineda

459 total citations
18 papers, 259 citations indexed

About

Jesús Pineda is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics. According to data from OpenAlex, Jesús Pineda has authored 18 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 5 papers in Biophysics. Recurrent topics in Jesús Pineda's work include Optical measurement and interference techniques (8 papers), Image Processing Techniques and Applications (8 papers) and Cell Image Analysis Techniques (5 papers). Jesús Pineda is often cited by papers focused on Optical measurement and interference techniques (8 papers), Image Processing Techniques and Applications (8 papers) and Cell Image Analysis Techniques (5 papers). Jesús Pineda collaborates with scholars based in Colombia, Sweden and Spain. Jesús Pineda's co-authors include Benjamin Midtvedt, Giovanni Volpe, Daniel Midtvedt, Saga Helgadóttir, Aykut Argun, Andrés G. Marrugo, Carlo Manzo, Emelie Wesén, Alan Sabirsh and Erik Olsén and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied Physics Reviews.

In The Last Decade

Jesús Pineda

17 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesús Pineda Colombia 8 79 61 59 54 47 18 259
Benjamin Midtvedt Sweden 8 90 1.1× 91 1.5× 22 0.4× 44 0.8× 63 1.3× 12 280
Aykut Argun Sweden 5 51 0.6× 61 1.0× 13 0.2× 23 0.4× 76 1.6× 7 272
Xiaohua Wan China 12 33 0.4× 28 0.5× 28 0.5× 25 0.5× 21 0.4× 59 427
Shuo Pang United States 13 47 0.6× 242 4.0× 97 1.6× 35 0.6× 75 1.6× 49 532
Chutian Wang China 7 11 0.1× 63 1.0× 63 1.1× 38 0.7× 66 1.4× 25 216
A. Ruhlandt Germany 8 114 1.4× 128 2.1× 8 0.1× 16 0.3× 58 1.2× 9 331
Savvas Damaskinos Canada 12 83 1.1× 120 2.0× 81 1.4× 17 0.3× 93 2.0× 42 436
Veena Singh India 9 62 0.8× 128 2.1× 122 2.1× 84 1.6× 168 3.6× 34 298
Makhlad Chahid France 3 83 1.1× 199 3.3× 28 0.5× 36 0.7× 68 1.4× 4 362
Benedict Diederich Germany 9 200 2.5× 143 2.3× 27 0.5× 36 0.7× 50 1.1× 17 356

Countries citing papers authored by Jesús Pineda

Since Specialization
Citations

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

Fields of papers citing papers by Jesús Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesús Pineda

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

All Works

18 of 18 papers shown
1.
Midtvedt, Benjamin, Jesús Pineda, Christoph Langhammer, et al.. (2024). Cross-modality transformations in biological microscopy enabled by deep learning. Advanced Photonics. 6(6). 5 indexed citations
2.
Pineda, Jesús, et al.. (2023). Geometric deep learning reveals the spatiotemporal features of microscopic motion. Nature Machine Intelligence. 5(1). 71–82. 36 indexed citations
3.
Midtvedt, Benjamin, Jesús Pineda, Erik Olsén, et al.. (2022). Single-shot self-supervised object detection in microscopy. Nature Communications. 13(1). 7492–7492. 30 indexed citations
4.
Pineda, Jesús, Alejandro Tello, Virgilio Galvis, et al.. (2022). Corneal endothelium assessment in specular microscopy images with Fuchs’ dystrophy via deep regression of signed distance maps. Biomedical Optics Express. 14(1). 335–335. 7 indexed citations
5.
Midtvedt, Benjamin, Saga Helgadóttir, Aykut Argun, et al.. (2021). Quantitative digital microscopy with deep learning. Applied Physics Reviews. 8(1). 82 indexed citations
6.
Helgadóttir, Saga, Benjamin Midtvedt, Jesús Pineda, et al.. (2021). Extracting quantitative biological information from bright-field cell images using deep learning. PubMed. 2(3). 31401–31401. 23 indexed citations
7.
Pineda, Jesús, et al.. (2021). Active droploids. Nature Communications. 12(1). 6005–6005. 19 indexed citations
8.
Pineda, Jesús, et al.. (2020). SPUD: simultaneous phase unwrapping and denoising algorithm for phase imaging. Applied Optics. 59(13). D81–D81. 15 indexed citations
9.
Pineda, Jesús, Eduardo Viteri, Alejandro Tello, et al.. (2020). Generating density maps for convolutional neural network-based cell counting in specular microscopy images. Journal of Physics Conference Series. 1547(1). 12019–12019. 5 indexed citations
10.
Pineda, Jesús, et al.. (2019). Developing a Robust Acquisition System for Fringe Projection Profilometry. Journal of Physics Conference Series. 1247(1). 12053–12053. 2 indexed citations
11.
Pineda, Jesús, et al.. (2019). Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting. PLoS ONE. 14(10). e0223623–e0223623. 11 indexed citations
12.
Marrugo, Andrés G., et al.. (2019). A flexible and simplified calibration procedure for fringe projection profilometry. 60–60. 1 indexed citations
13.
Marrugo, Andrés G., et al.. (2019). Toward an automatic 3D measurement of skin wheals from skin prick tests. 3–3. 2 indexed citations
14.
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16.
Marrugo, Andrés G., et al.. (2018). Camera-Projector Calibration Methods with Compensation of Geometric Distortions in Fringe Projection Profilometry: A Comparative Study. Optica Pura y Aplicada. 51(3). 1–10. 10 indexed citations
17.
Pineda, Jesús, et al.. (2018). Fringe Quality Map for Fringe Projection Profilometry in LabVIEW. Optica Pura y Aplicada. 51(4). 1–8. 4 indexed citations
18.
Pineda, Jesús, et al.. (2016). Background intensity removal in structured light three-dimensional reconstruction. 8. 1–6. 5 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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