Raúl Rojas

7.0k citations
134 papers · 3.4k · 2 hit papers · h-index 22

Impact in

Papers in

Raúl Rojas

119 papers receiving 3.1k citations

Raúl Rojas's Hit Papers

Neural Networks 1996 · 519 citations
5190+10+20Years since publication4008001.2k

Peers

Raúl Rojas
Comparison fields: 5 of 180
  • Computer Vision and Pattern Recognition 931
  • Artificial Intelligence 888
  • Media Technology 157
  • Automotive Engineering 212
  • Environmental Engineering 249
Replace Karl R. Weiss with:
Karl R. Weiss United States
Khalid Mohiuddin Saudi Arabia
Dongbo Xi China
Zhiyuan Qi China
Keyu Duan China
Eftychios Protopapadakis Greece
Athanasios Voulodimos Greece
Nikos Vlassis Netherlands
Ruili Wang New Zealand
Kai Arulkumaran Japan
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Citations per field
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Citations per year

Countries citing papers authored by Raúl Rojas

Since Specialization
Citations

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

Fields of papers citing papers by Raúl Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Raúl Rojas, 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 Raúl Rojas Line = papers co-authored together Raúl Rojas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neural Networks: A Systematic Introduction
Hit paper breakdown →
19961358
2
Neural Networks
Hit paper breakdown →
1996519
3 200586
4 201477
5 201877
6 200661
7 201661
8 199361
9 200245
10 201541
11 201340
12 201139
13 200939
14 199637
15 201735
16 201833
17 199729
18 200528
19 201028
20
The first computers: history and architectures
200026

About Raúl Rojas

Raúl Rojas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Aerospace Engineering and Computational Theory and Mathematics, having authored 134 papers that have together received 3.4k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (19 papers), Handwritten Text Recognition Techniques (14 papers), Robotic Path Planning Algorithms (14 papers), Image Retrieval and Classification Techniques (13 papers), Robotics and Sensor-Based Localization (12 papers), Advanced Image and Video Retrieval Techniques (11 papers), Neural Networks and Applications (11 papers) and History of Computing Technologies (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (931 citations), Artificial Intelligence (888 citations), Media Technology (157 citations), Automotive Engineering (212 citations) and Environmental Engineering (249 citations). Raúl Rojas has collaborated with scholars based in Germany, Mexico and United States. Frequent co-authors include Erik Cuevas, Ernesto Tapia, Gerald Friedland, Daniel Goehring, Daniel Zaldívar, Tim Landgraf, Marte A. Ramírez-Ortegón, Tobias Langner, Benjamin Wild and Margarita-Arimatea Díaz-Cortés. Their work appears in journals such as Pattern Recognition, Applied Intelligence, PLoS ONE, IEEE Robotics and Automation Letters and Computers & Graphics.

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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