John Ray Bergado

489 total citations
10 papers, 351 citations indexed

About

John Ray Bergado is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, John Ray Bergado has authored 10 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Media Technology, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Environmental Engineering. Recurrent topics in John Ray Bergado's work include Remote-Sensing Image Classification (6 papers), Automated Road and Building Extraction (2 papers) and Remote Sensing in Agriculture (2 papers). John Ray Bergado is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Automated Road and Building Extraction (2 papers) and Remote Sensing in Agriculture (2 papers). John Ray Bergado collaborates with scholars based in Netherlands and Australia. John Ray Bergado's co-authors include Claudio Persello, Alfred Stein, Valentyn Tolpekin, R.A. de By, Nicholus Mboga, Karin Reinke, Caroline Gevaert and Francesco Nex and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Remote Sensing.

In The Last Decade

John Ray Bergado

9 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Ray Bergado Netherlands 7 149 131 113 106 76 10 351
Hermann Johann Heinrich Kux Brazil 9 164 1.1× 147 1.1× 134 1.2× 91 0.9× 99 1.3× 32 394
Wenfu Wu China 9 115 0.8× 95 0.7× 90 0.8× 86 0.8× 67 0.9× 20 322
P. L. N. Raju India 11 156 1.0× 70 0.5× 143 1.3× 231 2.2× 129 1.7× 39 470
Massimiliano Gargiulo Italy 8 77 0.5× 159 1.2× 142 1.3× 69 0.7× 51 0.7× 18 340
Jiage Chen China 10 106 0.7× 212 1.6× 206 1.8× 94 0.9× 166 2.2× 22 425
Alireza Hamedianfar Malaysia 14 152 1.0× 220 1.7× 229 2.0× 221 2.1× 113 1.5× 21 515
Dilek Koç-San Türkiye 11 171 1.1× 152 1.2× 171 1.5× 214 2.0× 91 1.2× 22 506
Iván Lizarazo Colombia 10 74 0.5× 100 0.8× 130 1.2× 61 0.6× 74 1.0× 31 328
Shengjie Liu Hong Kong 7 115 0.8× 141 1.1× 88 0.8× 118 1.1× 111 1.5× 23 331
Hamid Jafarzadeh Canada 6 162 1.1× 83 0.6× 163 1.4× 85 0.8× 54 0.7× 16 388

Countries citing papers authored by John Ray Bergado

Since Specialization
Citations

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

Fields of papers citing papers by John Ray Bergado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Ray Bergado. 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 John Ray Bergado. The network helps show where John Ray Bergado may publish in the future.

Co-authorship network of co-authors of John Ray Bergado

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

All Works

10 of 10 papers shown
1.
Bergado, John Ray, et al.. (2024). Towards Fully Autonomous UAV: Damaged Building-Opening Detection for Outdoor-Indoor Transition in Urban Search and Rescue. Electronics. 13(3). 558–558. 6 indexed citations
2.
Bergado, John Ray & Francesco Nex. (2023). DENSE POINT CLOUD EXTRACTION FROM UAV IMAGERY USING PARALLAX ATTENTION. SHILAP Revista de lepidopterología. X-1/W1-2023. 1027–1032.
3.
Bergado, John Ray, Claudio Persello, Karin Reinke, & Alfred Stein. (2021). Predicting wildfire burns from big geodata using deep learning. Safety Science. 140. 105276–105276. 51 indexed citations
4.
Bergado, John Ray, Claudio Persello, & Alfred Stein. (2020). LAND USE CLASSIFICATION USING DEEP MULTITASK NETWORKS. SHILAP Revista de lepidopterología. XLIII-B3-2020. 17–21. 1 indexed citations
5.
Persello, Claudio, Valentyn Tolpekin, John Ray Bergado, & R.A. de By. (2019). Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping. Remote Sensing of Environment. 231. 111253–111253. 138 indexed citations
6.
Bergado, John Ray, Claudio Persello, & Alfred Stein. (2018). Fusenet: End- to-End Multispectral Vhr Image Fusion and Classification. University of Twente Research Information. 2091–2094. 9 indexed citations
7.
Mboga, Nicholus, Claudio Persello, John Ray Bergado, & Alfred Stein. (2017). Detection of informal settlements from VHR satellite images using convolutional neural networks. University of Twente Research Information. abs 1605 2688. 5169–5172. 6 indexed citations
8.
Mboga, Nicholus, Claudio Persello, John Ray Bergado, & Alfred Stein. (2017). Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks. Remote Sensing. 9(11). 1106–1106. 102 indexed citations
9.
Persello, Claudio, et al.. (2017). Classification of multitemporal SAR images using convolutional neural networks and Markov random fields. University of Twente Research Information. 10 indexed citations
10.
Bergado, John Ray, Claudio Persello, & Caroline Gevaert. (2016). A deep learning approach to the classification of sub-decimetre resolution aerial images. University of Twente Research Information. 1516–1519. 28 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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2026