Rodrigo Verschae

1.5k citations
48 papers · 880 · h-index 14

Impact in

Papers in

Rodrigo Verschae

40 papers receiving 829 citations

Peers

Rodrigo Verschae
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 438
  • Signal Processing 99
  • Human-Computer Interaction 47
  • Renewable Energy, Sustainability and the Environment 121
  • Media Technology 61
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Rodrigo Verschae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rodrigo Verschae Line = papers co-authored together Rodrigo Verschae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018155
2 2009133
3 202279
4 201271
5 200463
6 201651
7 201150
8 201544
9 200729
10 201522
11 200619
12
Face Recognition in Unconstrained Environments: A Comparative Study
200816
13 201516
14 200915
15 200613
16 200513
17 200410
18 20098
19 20108
20 20135

About Rodrigo Verschae

Rodrigo Verschae is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering, having authored 48 papers that have together received 880 indexed citations. Recurring topics across this work include Face and Expression Recognition (14 papers), Face recognition and analysis (11 papers), Advanced Image and Video Retrieval Techniques (9 papers), Video Surveillance and Tracking Methods (8 papers), Web Data Mining and Analysis (4 papers), Smart Grid Energy Management (4 papers), Human Pose and Action Recognition (3 papers) and Biometric Identification and Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (438 citations), Signal Processing (99 citations), Human-Computer Interaction (47 citations), Renewable Energy, Sustainability and the Environment (121 citations) and Media Technology (61 citations). Rodrigo Verschae has collaborated with scholars based in Chile, Japan and United States. Frequent co-authors include Javier Ruíz-del-Solar, Mauricio Correa, Gabriel Hermosilla, Jinsong Zhang, Jean‐François Lalonde, Shohei Nobuhara, Takashi Matsuyama, Takekazu Kato, Hiroaki Kawashima and Aureli Soria‐Frisch. Their work appears in journals such as IEEE Robotics & Automation Magazine, Pattern Recognition, Applied Soft Computing, Simulation Modelling Practice and Theory and Neurocomputing.

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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