José Delpiano

591 total citations
28 papers, 419 citations indexed

About

José Delpiano is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, José Delpiano has authored 28 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in José Delpiano's work include Advanced Vision and Imaging (6 papers), Optical Coherence Tomography Applications (4 papers) and Power System Optimization and Stability (4 papers). José Delpiano is often cited by papers focused on Advanced Vision and Imaging (6 papers), Optical Coherence Tomography Applications (4 papers) and Power System Optimization and Stability (4 papers). José Delpiano collaborates with scholars based in Chile, United States and United Kingdom. José Delpiano's co-authors include Fernando Auat Cheein, Stavros Vougioukas, Juan Pablo Vásconez, Humberto Verdejo, Wolfgang Kliemann, Patricio A. Moreno‐Casas, Javier Ruiz‐del‐Solar, Jorge Jiménez de la Jara, Steffen Härtel and Felipe Scott and has published in prestigious journals such as Environmental Science & Technology, Chemosphere and Construction and Building Materials.

In The Last Decade

José Delpiano

27 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Delpiano Chile 10 168 79 51 47 47 28 419
Qiao Zhou China 13 195 1.2× 95 1.2× 32 0.6× 57 1.2× 21 0.4× 24 468
Michio Kise United States 12 294 1.8× 24 0.3× 64 1.3× 25 0.5× 61 1.3× 37 461
Bin Yan China 8 313 1.9× 24 0.3× 74 1.5× 26 0.6× 47 1.0× 16 569
Rongbiao Zhang China 14 175 1.0× 111 1.4× 118 2.3× 16 0.3× 47 1.0× 53 586
Jinhai Li China 8 143 0.9× 62 0.8× 16 0.3× 44 0.9× 16 0.3× 16 320
Yanxin Yin China 11 110 0.7× 59 0.7× 51 1.0× 37 0.8× 15 0.3× 35 369
Hui Luo China 12 64 0.4× 173 2.2× 69 1.4× 63 1.3× 17 0.4× 44 418
Srikanth Namuduri United States 7 113 0.7× 62 0.8× 16 0.3× 39 0.8× 25 0.5× 9 338
Fazida Hanim Hashim Malaysia 11 54 0.3× 132 1.7× 46 0.9× 33 0.7× 65 1.4× 50 533
E.J. Pekkeriet Netherlands 7 246 1.5× 20 0.3× 31 0.6× 23 0.5× 35 0.7× 10 353

Countries citing papers authored by José Delpiano

Since Specialization
Citations

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

Fields of papers citing papers by José Delpiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Delpiano

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

All Works

20 of 20 papers shown
1.
Delpiano, José, et al.. (2025). Using Image Analysis Techniques for Dust Detection Over Photovoltaic Panels. Journal of Solar Energy Engineering. 147(4).
2.
Torres‐Torriti, Miguel, et al.. (2024). A two-stage deep learning strategy for weed identification in grassfields. Computers and Electronics in Agriculture. 225. 109300–109300. 3 indexed citations
3.
Saavedra, José M., et al.. (2024). Challenges for computer vision as a tool for screening urban trees through street-view images. Urban forestry & urban greening. 95. 128316–128316. 4 indexed citations
4.
Seriani, Sebastián, et al.. (2023). Experimental Method to Estimate the Density of Passengers on Urban Railway Platforms. Sustainability. 15(2). 1000–1000. 6 indexed citations
5.
Delpiano, José, et al.. (2022). Apple orchard production estimation using deep learning strategies: A comparison of tracking-by-detection algorithms. Computers and Electronics in Agriculture. 204. 107513–107513. 46 indexed citations
6.
Cisternas, Jaime, et al.. (2021). Classification of multiple-state OAM superpositions using convolutional neural networks. 113. 19–19. 2 indexed citations
7.
Ruberti, Jeffrey W., et al.. (2021). Method for measurement of collagen monomer orientation in fluorescence microscopy. Journal of Biomedical Optics. 26(7). 2 indexed citations
8.
Vásconez, Juan Pablo, José Delpiano, Stavros Vougioukas, & Fernando Auat Cheein. (2020). Comparison of convolutional neural networks in fruit detection and counting: A comprehensive evaluation. Computers and Electronics in Agriculture. 173. 105348–105348. 138 indexed citations
9.
10.
Delpiano, José, et al.. (2020). The role of moisture transport mechanisms on the performance of lightweight aggregates in internal curing. Construction and Building Materials. 268. 121191–121191. 32 indexed citations
11.
Verdejo, Humberto, et al.. (2020). An Analytical Model for Small Signal Stability Analysis in Unbalanced Electrical Power Systems. Applied Sciences. 10(24). 8855–8855. 4 indexed citations
12.
Moreno‐Casas, Patricio A., Felipe Scott, José Delpiano, & Alberto Vergara‐Fernández. (2019). Computational tomography and CFD simulation of a biofilter treating a toluene, formaldehyde and benzo[α]pyrene vapor mixture. Chemosphere. 240. 124924–124924. 11 indexed citations
13.
Moreno‐Casas, Patricio A., et al.. (2019). Mechanistic Description of Convective Gas–Liquid Mass Transfer in Biotrickling Filters Using CFD Modeling. Environmental Science & Technology. 54(1). 419–426. 14 indexed citations
14.
Verdejo, Humberto, et al.. (2019). Tuning of Controllers in Power Systems Using a Heuristic-Stochastic Approach. Energies. 12(12). 2325–2325. 8 indexed citations
15.
16.
Pereira, Danillo Roberto, José Delpiano, & João Paulo Papa. (2015). On the optical flow model selection through metaheuristics. EURASIP Journal on Image and Video Processing. 2015(1). 3 indexed citations
17.
Jara, Jorge Jiménez de la, Mauricio Cerda, José Delpiano, & Steffen Härtel. (2015). An Implementation of Combined Local-Global Optical Flow. Image Processing On Line. 5. 139–158. 7 indexed citations
18.
Delpiano, José, et al.. (2011). Performance of optical flow techniques for motion analysis of fluorescent point signals in confocal microscopy. Machine Vision and Applications. 23(4). 675–689. 27 indexed citations
19.
Zagal, Juan Cristóbal, José Delpiano, & Javier Ruiz‐del‐Solar. (2009). Self-modeling in humanoid soccer robots. Robotics and Autonomous Systems. 57(8). 819–827. 7 indexed citations
20.
Delpiano, José & Marcos Sepúlveda. (2006). Combining iterative heuristic optimization and uncertainty analysis methods for robust parameter design. Engineering Optimization. 38(7). 821–831. 7 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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