L.P. Calôba

55 papers receiving 445 citations

Peers

L.P. Calôba
Comparison fields: 5 of 74
  • Signal Processing 66
  • Metals and Alloys 13
  • Mechanical Engineering 176
  • Industrial and Manufacturing Engineering 44
  • Computer Vision and Pattern Recognition 58
Replace Radislav Šmíd with:
Radislav Šmíd Czechia
Fernando M. Janeiro Portugal
Shivakumar Sastry United States
Augusto Montisci Italy
Xudong Xu China
Zhiyong Song China
Shun Wang China
Qiubo Ye China
Florian Römer Germany
L.P. Calôba relative to Radislav Šmíd Czechia Radislav Šmíd's profile →
Citations per field
00.5×
Radislav Šmíd · 1×
Citations per year

Countries citing papers authored by L.P. Calôba

Since Specialization
Citations

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

Fields of papers citing papers by L.P. Calôba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200479
2 200458
3 199335
4 200227
5 200323
6 200220
7 199119
8 200218
9 200618
10 201817
11 200313
12 200313
13 200612
14 200511
15 199610
16 201010
17 20239
18 20028
19 20027
20 20027

About L.P. Calôba

L.P. Calôba is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Signal Processing, Mechanical Engineering and Artificial Intelligence, having authored 69 papers that have together received 499 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (19 papers), Non-Destructive Testing Techniques (9 papers), Advanced Adaptive Filtering Techniques (7 papers), Digital Filter Design and Implementation (7 papers), Neural Networks and Applications (7 papers), Radio Frequency Integrated Circuit Design (7 papers), Blind Source Separation Techniques (6 papers) and Welding Techniques and Residual Stresses (5 papers). The work is most often cited by research in Signal Processing (66 citations), Metals and Alloys (13 citations), Mechanical Engineering (176 citations), Industrial and Manufacturing Engineering (44 citations) and Computer Vision and Pattern Recognition (58 citations). L.P. Calôba has collaborated with scholars based in Brazil, United States and Switzerland. Frequent co-authors include J.M.A. Rebello, A.C.M. de Queiroz, Jurandir Nadal, J. M. Seixas, Domingo Mery, A.C. Ferreira, E. Furtado De Simas Filho, E. Sánchez‐Sinencio, J. Seixas and J. M. Seixas. Their work appears in journals such as Insight - Non-Destructive Testing and Condition Monitoring, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Analog Integrated Circuits and Signal Processing, NDT & E International 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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