Beatriz L. Boada

1.9k citations
80 papers · 1.5k · h-index 20

Impact in

Papers in

Beatriz L. Boada

76 papers receiving 1.4k citations

Peers

Beatriz L. Boada
Comparison fields: 5 of 70
  • Automotive Engineering 919
  • Civil and Structural Engineering 506
  • Control and Systems Engineering 535
  • Mechanical Engineering 614
  • Computer Vision and Pattern Recognition 136
Replace Xuexun Guo with:
Xuexun Guo China
Kunsoo Huh South Korea
María Jesús López Boada Spain
Shih-Ken Chen United States
Matteo Massaro Italy
Xiaoqiang Sun China
Xing Xu China
Kanghyun Nam South Korea
Michel Basset France
Zhiyuan Liu China
Beatriz L. Boada relative to Xuexun Guo China Xuexun Guo's profile →
Citations per field
00.5×1.5×
Xuexun Guo · 1×
Citations per year

Countries citing papers authored by Beatriz L. Boada

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz L. Boada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatriz L. Boada. 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 Beatriz L. Boada. The network helps show where Beatriz L. Boada may publish in the future.

Co-authors

The 19 scholars most cited alongside Beatriz L. Boada, 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 Beatriz L. Boada Line = papers co-authored together Beatriz L. Boada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005185
2 2015127
3 200870
4 200670
5 201962
6 202362
7 202162
8 201658
9 201056
10 201752
11 201647
12 201044
13 201535
14 202035
15 200832
16 202330
17 200926
18 202224
19 202320
20 200519

About Beatriz L. Boada

Beatriz L. Boada is a scholar working on Automotive Engineering, Civil and Structural Engineering, Mechanical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (39 papers), Autonomous Vehicle Technology and Safety (16 papers), Traffic control and management (15 papers), Vibration Control and Rheological Fluids (13 papers), Hydraulic and Pneumatic Systems (11 papers), Mechanical Engineering and Vibrations Research (10 papers), Soil Mechanics and Vehicle Dynamics (10 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Automotive Engineering (919 citations), Civil and Structural Engineering (506 citations), Control and Systems Engineering (535 citations), Mechanical Engineering (614 citations) and Computer Vision and Pattern Recognition (136 citations). Beatriz L. Boada has collaborated with scholars based in Spain, China and United States. Frequent co-authors include María Jesús López Boada, Vicente Díaz, Fernando Viadero‐Monasterio, Antonio Gauchía, Hui Zhang, Luís Moreno, Dolores Blanco, Angélica Reyes, Javier García Guzmán and Daniel García-Pozuelo. Their work appears in journals such as Sensors, International Journal of Automotive Technology, IEEE Transactions on Vehicular Technology, Mechanical Systems and Signal Processing and International Journal of Heavy Vehicle Systems.

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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