Daniel Ochoa

446 total citations
41 papers, 280 citations indexed

About

Daniel Ochoa is a scholar working on Transportation, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Ochoa has authored 41 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Transportation, 8 papers in Plant Science and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Ochoa's work include Human Mobility and Location-Based Analysis (9 papers), Spectroscopy and Chemometric Analyses (7 papers) and Remote-Sensing Image Classification (6 papers). Daniel Ochoa is often cited by papers focused on Human Mobility and Location-Based Analysis (9 papers), Spectroscopy and Chemometric Analyses (7 papers) and Remote-Sensing Image Classification (6 papers). Daniel Ochoa collaborates with scholars based in Ecuador, Belgium and China. Daniel Ochoa's co-authors include Sidharta Gautama, Wilfried Philips, Juan Manuel Cevallos‐Cevallos, Ivana Šemanjski, Wenzhi Liao, Carolien Beckx, Chris Tampère, Hiêp Luong, Jan Aelterman and José Luis Vicente Villardón and has published in prestigious journals such as Sensors, Systems & Control Letters and Applied Sciences.

In The Last Decade

Daniel Ochoa

38 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Ochoa Ecuador 11 82 67 48 44 30 41 280
Salman Naseer Pakistan 11 96 1.2× 15 0.2× 28 0.6× 10 0.2× 17 0.6× 29 459
Dušan Marković Serbia 12 64 0.8× 7 0.1× 20 0.4× 7 0.2× 6 0.2× 43 406
Pravakar Roy United States 9 245 3.0× 11 0.2× 79 1.6× 54 1.2× 12 0.4× 13 356
Ricardus Anggi Pramunendar Indonesia 11 37 0.5× 5 0.1× 103 2.1× 20 0.5× 26 0.9× 78 337
Ernest Mwebaze Uganda 11 155 1.9× 7 0.1× 104 2.2× 62 1.4× 34 1.1× 28 431
Hannah Dee United Kingdom 9 30 0.4× 13 0.2× 252 5.3× 11 0.3× 17 0.6× 28 388
Quan Sun China 6 74 0.9× 15 0.2× 67 1.4× 8 0.2× 13 0.4× 7 287
Iivari Kunttu Finland 12 21 0.3× 8 0.1× 215 4.5× 17 0.4× 64 2.1× 30 348
B. Alorda Spain 13 55 0.7× 21 0.3× 14 0.3× 5 0.1× 9 0.3× 77 483
Bülent Tuğrul Türkiye 9 140 1.7× 6 0.1× 15 0.3× 51 1.2× 7 0.2× 32 266

Countries citing papers authored by Daniel Ochoa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ochoa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ochoa

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ochoa. A scholar is included among the top collaborators of Daniel Ochoa 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 Daniel Ochoa. Daniel Ochoa 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.
Ochoa, Daniel, et al.. (2025). The Detection and Counting of Olive Tree Fruits Using Deep Learning Models in Tacna, Perú. AI. 6(2). 25–25. 1 indexed citations
2.
Ochoa, Daniel, Nicolás Espitia, & Jorge I. Poveda. (2024). Prescribed-time stability in switching systems with resets: A hybrid dynamical systems approach. Systems & Control Letters. 193. 105910–105910. 1 indexed citations
3.
Aelterman, Jan, et al.. (2024). A Display-Adaptive Pipeline for Dynamic Range Expansion of Standard Dynamic Range Video Content. Applied Sciences. 14(10). 4081–4081. 2 indexed citations
4.
Orellana‐Manzano, Andrea, et al.. (2024). To Risk or Not to Risk? Evaluating Self-medication Practices among Ecuadorian Adults During COVID-19 Lockdown. The Open Public Health Journal. 17(1). 1 indexed citations
5.
Ochoa, Daniel, et al.. (2023). Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems. Annual Reviews in Control. 56. 100926–100926. 6 indexed citations
7.
Ochoa, Daniel, et al.. (2023). Detecting anomalous suppliers in electronic procurement systems using GAAN. 4147–4155. 1 indexed citations
8.
Aelterman, Jan, et al.. (2020). Fully-automatic inverse tone mapping algorithm based on dynamic mid-level tone mapping. APSIPA Transactions on Signal and Information Processing. 9(1). 7 indexed citations
9.
Liao, Wenzhi, Daniel Ochoa, Lianru Gao, Bing Zhang, & Wilfried Philips. (2019). Morphological Analysis for Banana Disease Detection in Close Range Hyperspectral Remote Sensing Images. Ghent University Academic Bibliography (Ghent University). 3697–3700. 15 indexed citations
10.
Ochoa, Daniel, et al.. (2018). Cocoa bean quality assessment using closed range hyperspectral images. Ghent University Academic Bibliography (Ghent University). 622–626. 2 indexed citations
11.
Šemanjski, Ivana, et al.. (2017). Assessment of Smartphone Positioning Data Quality in the Scope of Citizen Science Contributions. Mobile Information Systems. 2017. 1–11. 10 indexed citations
12.
Sappa, Ángel D., et al.. (2017). A 3D vision based approach for optimal grasp of vacuum grippers. 1–6. 19 indexed citations
13.
Ochoa, Daniel, et al.. (2017). Improving the detection of cocoa bean fermentation-related changes using image fusion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10198. 1019819–1019819. 2 indexed citations
14.
Gautama, Sidharta, et al.. (2017). A methodology for train trip identification in mobility campaigns based on smart-phones. 301. 141–144. 1 indexed citations
15.
Liao, Wenzhi, Daniel Ochoa, Frieke Van Coillie, et al.. (2016). Spectral-spatial classification for hyperspectral image by bilateral filtering and morphological features. Ghent University Academic Bibliography (Ghent University). 8. 1–4. 3 indexed citations
16.
Šemanjski, Ivana, et al.. (2016). Travelled Distance Estimation for GPS-Based Round Trips Car-Sharing Use Case. Transactions on Maritime Science. 5(2). 121–129. 3 indexed citations
17.
Ochoa, Daniel, et al.. (2016). Hyperspectral imaging system for disease scanning on banana plants. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9864. 98640M–98640M. 12 indexed citations
18.
Ochoa, Daniel, et al.. (2015). Detecting changes of transportation-mode by using classification data. Ghent University Academic Bibliography (Ghent University). 2078–2083. 10 indexed citations
19.
Ochoa, Daniel, Sidharta Gautama, & Wilfried Philips. (2009). Automatic identification of Caenorhabditis elegans in population images by shape energy features. Journal of Microscopy. 238(2). 173–184. 4 indexed citations
20.
Vylder, Jonas De, Daniel Ochoa, Wilfried Philips, Laury Chaerle, & Dominique Van Der Straeten. (2009). Tracking multiple objects using moving snakes. Ghent University Academic Bibliography (Ghent University). 1–6. 4 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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