Alberto Vale

819 citations
66 papers · 524 · h-index 12

Impact in

  • Radiation top 5%
    • Radiation Detection and Scintillator Technologies
    • Nuclear Physics and Applications
    • Robotics and Sensor-Based Localization

Papers in

Alberto Vale

60 papers receiving 514 citations

Peers

Alberto Vale
Comparison fields: 5 of 67
  • Radiation 96
  • Aerospace Engineering 186
  • Computer Vision and Pattern Recognition 155
  • Radiological and Ultrasound Technology 32
  • Nuclear and High Energy Physics 78
Replace G. Dedes with:
G. Dedes Germany
Shuangbao Shu China
Giang T.T. Phan Vietnam
Le Tang China
Zhou Wei China
Andrey Zhuravlev Russia
M. El-Kordy Egypt
Yavuz Ege Türkiye
Xiangcheng Chen China
Alberto Vale relative to G. Dedes Germany G. Dedes's profile →
Citations per field
00.5×5.3×
G. Dedes · 1×
Citations per year

Countries citing papers authored by Alberto Vale

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Vale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202177
2 201537
3 202130
4 201727
5 201023
6 202221
7 201716
8 202015
9 201415
10 201013
11 201512
12 202011
13 201410
14 201810
15 202210
16 202110
17 202010
18 201710
19 20119
20 20219

About Alberto Vale

Alberto Vale is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Radiation and Nuclear and High Energy Physics, having authored 66 papers that have together received 524 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (23 papers), Robotic Path Planning Algorithms (20 papers), Radiation Detection and Scintillator Technologies (9 papers), Magnetic confinement fusion research (9 papers), Fusion materials and technologies (7 papers), Superconducting Materials and Applications (6 papers), Control and Dynamics of Mobile Robots (6 papers) and Nuclear Physics and Applications (6 papers). The work is most often cited by research in Radiation (96 citations), Aerospace Engineering (186 citations), Computer Vision and Pattern Recognition (155 citations), Radiological and Ultrasound Technology (32 citations) and Nuclear and High Energy Physics (78 citations). Alberto Vale has collaborated with scholars based in Portugal, Spain and Germany. Frequent co-authors include P. Vaz, Rodrigo Ventura, L. Marques, Isabel Ribeiro, B. Gonçalves, Pedro Lopes, M. Siuko, Fernando Gómez-Bravo, A. Loving and E. Villedieu. Their work appears in journals such as Fusion Engineering and Design, Sensors, Robotics and Autonomous Systems, IEEE Transactions on Plasma Science and IEEE Robotics and Automation Letters.

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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