Rodrigo Verschae

1.6k total citations
49 papers, 915 citations indexed

About

Rodrigo Verschae is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Rodrigo Verschae has authored 49 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Rodrigo Verschae's work include Face and Expression Recognition (14 papers), Face recognition and analysis (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Rodrigo Verschae is often cited by papers focused on Face and Expression Recognition (14 papers), Face recognition and analysis (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Rodrigo Verschae collaborates with scholars based in Chile, Japan and Colombia. Rodrigo Verschae's co-authors include Javier Ruiz‐del‐Solar, Mauricio Correa, Gabriel Hermosilla, Shohei Nobuhara, Jean‐François Lalonde, Jinsong Zhang, Takekazu Kato, Takashi Matsuyama, Hiroaki Kawashima and Aureli Soria‐Frisch and has published in prestigious journals such as The Journal of Comparative Neurology, IEEE Access and Renewable Energy.

In The Last Decade

Rodrigo Verschae

43 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rodrigo Verschae Chile 15 435 196 191 120 98 49 915
Yun Tan China 22 1.0k 2.4× 167 0.9× 273 1.4× 105 0.9× 123 1.3× 72 1.7k
M. A. Ansari India 13 339 0.8× 172 0.9× 166 0.9× 42 0.3× 44 0.4× 112 734
Xinrong Hu China 16 273 0.6× 207 1.1× 85 0.4× 69 0.6× 83 0.8× 127 830
Diego H. Peluffo-Ordóńez Ecuador 15 135 0.3× 88 0.4× 139 0.7× 30 0.3× 79 0.8× 115 837
Filbert H. Juwono Malaysia 15 87 0.2× 406 2.1× 121 0.6× 56 0.5× 99 1.0× 104 907
Puteh Saad Malaysia 16 195 0.4× 238 1.2× 139 0.7× 12 0.1× 114 1.2× 49 873
Zahid Mahmood Pakistan 20 598 1.4× 62 0.3× 107 0.6× 30 0.3× 96 1.0× 62 829
Mustaqeem Mustaqeem South Korea 15 396 0.9× 121 0.6× 614 3.2× 25 0.2× 718 7.3× 16 1.6k
Cüneyt Güzelіș Türkiye 18 316 0.7× 158 0.8× 241 1.3× 8 0.1× 107 1.1× 91 1.1k
Minghao Yang China 22 303 0.7× 161 0.8× 265 1.4× 10 0.1× 148 1.5× 118 1.5k

Countries citing papers authored by Rodrigo Verschae

Since Specialization
Citations

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

Fields of papers citing papers by Rodrigo Verschae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodrigo Verschae

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Verschae. A scholar is included among the top collaborators of Rodrigo Verschae 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 Rodrigo Verschae. Rodrigo Verschae 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.
Verschae, Rodrigo, et al.. (2026). evTransFER: A transfer learning framework for event-based facial expression recognition. Neurocomputing. 671. 132641–132641.
2.
Verschae, Rodrigo, et al.. (2025). Orchard sweet cherry color distribution estimation from wireless sensor networks and video-based fruit detection. Computers and Electronics in Agriculture. 235. 110334–110334. 2 indexed citations
3.
Ruiz‐del‐Solar, Javier, et al.. (2024). Cherry CO Dataset: A Dataset for Cherry Detection, Segmentation and Maturity Recognition. IEEE Robotics and Automation Letters. 9(6). 5552–5558. 4 indexed citations
4.
Singla, Rohit, et al.. (2024). Estimating time-varying delays and parametric uncertainties in teleoperated robots. Nonlinear Dynamics. 113(9). 9861–9881.
5.
Verschae, Rodrigo, et al.. (2023). An Automated Assessment of Early Math Abilities Based on Digital Games. 172–176. 1 indexed citations
6.
Verschae, Rodrigo, et al.. (2022). Why the low adoption of robotics in the farms? Challenges for the establishment of commercial agricultural robots. Smart Agricultural Technology. 3. 100069–100069. 74 indexed citations
7.
Verschae, Rodrigo, Li Li, Shohei Nobuhara, & Takekazu Kato. (2017). A Sky Image Analysis System for Sub-minute PV Prediction. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 1175–1180. 1 indexed citations
8.
Verschae, Rodrigo, Takekazu Kato, & Takashi Matsuyama. (2016). Energy Management in Prosumer Communities: A Coordinated Approach. Energies. 9(7). 562–562. 51 indexed citations
9.
Correa, Mauricio, Javier Ruiz‐del‐Solar, & Rodrigo Verschae. (2015). A realistic virtual environment for evaluating face analysis systems under dynamic conditions. Pattern Recognition. 52. 160–173. 3 indexed citations
10.
Verschae, Rodrigo & Javier Ruiz‐del‐Solar. (2015). Object Detection: Current and Future Directions. Frontiers in Robotics and AI. 2. 42 indexed citations
11.
Verschae, Rodrigo, Hiroaki Kawashima, Takekazu Kato, & Takashi Matsuyama. (2014). A distributed hierarchical architecture for community-based power balancing. 163–169. 4 indexed citations
12.
Correa, Mauricio, Gabriel Hermosilla, Rodrigo Verschae, & Javier Ruiz‐del‐Solar. (2011). Human Detection and Identification by Robots Using Thermal and Visual Information in Domestic Environments. Journal of Intelligent & Robotic Systems. 66(1-2). 223–243. 50 indexed citations
13.
Köppen, Mario, Rodrigo Verschae, Kaori Yoshida, & Masato Tsuru. (2010). Comparison of Evolutionary Multi-Objective Optimization Algorithms for the utilization of fairness in network control. 2. 2647–2655. 8 indexed citations
14.
Verschae, Rodrigo, Javier Ruiz‐del‐Solar, & Mauricio Correa. (2008). Face Recognition in Unconstrained Environments: A Comparative Study. HAL (Le Centre pour la Communication Scientifique Directe). 16 indexed citations
15.
Soria‐Frisch, Aureli, et al.. (2006). Fuzzy fusion for skin detection. Fuzzy Sets and Systems. 158(3). 325–336. 19 indexed citations
16.
Soria‐Frisch, Aureli, et al.. (2005). Robust skin detection based on the fuzzy integral. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1135–1140.
17.
Jaimes, Alejandro, et al.. (2004). On the image content of a web segment: Chile as a case study. Journal of Web Engineering. 3(2). 153–168. 3 indexed citations
18.
Ruiz‐del‐Solar, Javier & Rodrigo Verschae. (2004). Skin detection using neighborhood information. 463–468. 63 indexed citations
19.
Jaimes, Alejandro, et al.. (2004). On the image content of the Chilean Web. 3022. 72–83. 3 indexed citations
20.
Fernández, Patricia, et al.. (2004). Embolia pulmonar por cianoacrilato pos embolización de malformación arteriovenosa cerebral: Caso clínico. Revista médica de Chile. 132(4). 489–92. 2 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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