João Mota

1.4k total citations
95 papers, 838 citations indexed

About

João Mota is a scholar working on Signal Processing, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, João Mota has authored 95 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Signal Processing, 35 papers in Electrical and Electronic Engineering and 26 papers in Computer Networks and Communications. Recurrent topics in João Mota's work include Blind Source Separation Techniques (35 papers), Advanced Adaptive Filtering Techniques (23 papers) and Wireless Communication Networks Research (17 papers). João Mota is often cited by papers focused on Blind Source Separation Techniques (35 papers), Advanced Adaptive Filtering Techniques (23 papers) and Wireless Communication Networks Research (17 papers). João Mota collaborates with scholars based in Brazil, France and Portugal. João Mota's co-authors include André L. F. de Almeida, Gérard Favier, Daniel C. Araújo, Lucas N. Ribeiro, Minho Jo, Taras Maksymyuk, Tarcísio F. Maciel, Carlos Alexandre Rolim Fernandes, Guilherme A. Barreto and Bernadette Dorizzi and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Transactions on Computers.

In The Last Decade

João Mota

84 papers receiving 805 citations

Peers

João Mota
Comparison fields: 5 of 78
  • Electrical and Electronic Engineering 423
  • Computer Networks and Communications 271
  • Signal Processing 258
  • Computational Mathematics 228
  • Computational Mechanics 186
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Hiroyuki Kasai Japan View profile →
Citations per field, relative to João Mota
João Mota · 1×
Citations per year, relative to João Mota
João Mota · 1×

Countries citing papers authored by João Mota

Since Specialization
Citations

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

Fields of papers citing papers by João Mota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Mota

This figure shows the co-authorship network connecting the top 25 collaborators of João Mota. A scholar is included among the top collaborators of João Mota based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with João Mota. João Mota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 3
4 2
5 4
6
Channel estimation for millimeter-wave Very-Large MIMO systems
19
7 4
8 1
9
Modelagem em Redes de Petri de uma Proposta Sócio-Interacionista de Avaliação da Aprendizagem em um Ambiente Virtual de Aprendizagem
1
10
Instrumentação Tecnológica e Realimentação no Processo de Avaliação para o Ensino de Matemática na Universidade: um método baseado na Engenharia Didática
1
11 10
12
Blind MIMO channel identification using cumulant tensor decomposition
0
13 11
14 76
15 1
16 0
17 29
18 4
19 0
20
A family of nonlinear equalizers: Sub-optimal Bayesian classifiers.
1

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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