Alberto Vale

819 citations
60 papers · 456 · h-index 11

Impact in

  • Radiation top 10%
    • Radiation Detection and Scintillator Technologies
    • Nuclear Physics and Applications
    • Robotics and Sensor-Based Localization

Papers in

Alberto Vale

55 papers receiving 448 citations

Peers

Alberto Vale
Comparison fields: 5 of 64
  • Radiation 84
  • Aerospace Engineering 164
  • Computer Vision and Pattern Recognition 121
  • Nuclear and High Energy Physics 75
  • Radiological and Ultrasound Technology 24
Replace G. Dedes with:
G. Dedes Germany
Shuangbao Shu China
Giang T.T. Phan Vietnam
Le Tang China
Andrey Zhuravlev Russia
Fabio Giannetti Italy
Zhou Wei China
Hadi Davilu Iran
Susan Schoenung United States
Alberto Vale relative to G. Dedes Germany G. Dedes's profile →
Citations per field
00.5×
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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202167
2 201536
3 201726
4 202125
5 201022
6 202220
7 201415
8 201714
9 202012
10 201012
11 201512
12 201710
13 20149
14 20219
15 20238
16 20188
17 20208
18 20218
19 20208
20 20118

About Alberto Vale

Alberto Vale is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Nuclear and High Energy Physics and Biomedical Engineering, having authored 60 papers that have together received 456 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (21 papers), Robotic Path Planning Algorithms (18 papers), Magnetic confinement fusion research (9 papers), Radiation Detection and Scintillator Technologies (8 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 (5 papers). The work is most often cited by research in Radiation (84 citations), Aerospace Engineering (164 citations), Computer Vision and Pattern Recognition (121 citations), Nuclear and High Energy Physics (75 citations) and Radiological and Ultrasound Technology (24 citations). Alberto Vale has collaborated with scholars based in Portugal, Spain and Germany. Frequent co-authors include Rodrigo Ventura, P. Vaz, Isabel Ribeiro, L. Marques, B. Gonçalves, Pedro Lopes, A. Loving, M. Siuko, M. Coleman and João S. Soares. Their work appears in journals such as Fusion Engineering and Design, Sensors, Robotics and Autonomous Systems, IEEE Transactions on Plasma Science and Journal of Radiological Protection.

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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