Allan Martins

853 citations
57 papers · 539 indexed · h-index 12
Topics
Blind Source Separation Techniques (14 papers)Advanced Adaptive Filtering Techniques (13 papers)Neural Networks and Applications (10 papers)

In The Last Decade

Allan Martins

55 papers receiving 512 citations

Peers

Allan Martins
Comparison fields: 5 of 83
  • Artificial Intelligence 175
  • Signal Processing 155
  • Computational Mechanics 120
  • Computer Vision and Pattern Recognition 104
  • Electrical and Electronic Engineering 74
Replace Dah‐Chung Chang with:
Dah‐Chung Chang Taiwan
Xiaoming Liu China
Aleksander Holynski United States
Laurent Clavier France
Dragoş Nicolae Vizireanu Romania
Keke Tang China
Evaristo J. Abril Spain
Wei Gao China
Tao Lin China
Haiyang Huang China
Allan Martins relative to Dah‐Chung Chang Taiwan Dah‐Chung Chang's profile →
Citations per field
00.5×2.6×
Dah‐Chung Chang · 1×
Citations per year

Countries citing papers authored by Allan Martins

Since Specialization
Citations

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

Fields of papers citing papers by Allan Martins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allan Martins

This figure shows the co-authorship network connecting the top 25 collaborators of Allan Martins. A scholar is included among the top collaborators of Allan Martins 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 Allan Martins. Allan Martins 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
#WorkIndexed citations
1 4
2 2
3 1
4 11
5 4
6 1
7 3
8 11
9 25
10 11
11 3
12 2
13 15
14 14
15 14
16 2
17 10
18 8
19 5
20 2

About Allan Martins

Allan Martins is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 57 papers that have together received 539 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (14 papers), Advanced Adaptive Filtering Techniques (13 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Signal Processing (155 citations), Computational Mechanics (120 citations) and Artificial Intelligence (175 citations). Allan Martins has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include José C. Prı́ncipe, Luiz F. Q. Silveira, Joilson B. A. Rego, Adrião Duarte Dória Neto, G. M. Viswanathan, Plamen Ch. Ivanov, Antônio Luiz P. S. Campos, Vicente A. de Sousa, J.C. Principe and Fábio Meneghetti Ugulino de Araújo. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.

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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