André Lemos

1.0k total citations
36 papers, 704 citations indexed

About

André Lemos is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, André Lemos has authored 36 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 9 papers in Control and Systems Engineering and 9 papers in Statistics and Probability. Recurrent topics in André Lemos's work include Fuzzy Logic and Control Systems (20 papers), Neural Networks and Applications (20 papers) and Fuzzy Systems and Optimization (9 papers). André Lemos is often cited by papers focused on Fuzzy Logic and Control Systems (20 papers), Neural Networks and Applications (20 papers) and Fuzzy Systems and Optimization (9 papers). André Lemos collaborates with scholars based in Brazil, Israel and United States. André Lemos's co-authors include Walmir M. Caminhas, Fernando Gomide, Alisson Marques da Silva, Rosângela Ballini, Leandro Maciel, Wallace C. Boaventura, Cristiano Leite de Castro, Pedro Calais, Antônio P. Braga and Miri Cohen and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

André Lemos

35 papers receiving 689 citations

Peers

André Lemos
Comparison fields: 5 of 75
  • Artificial Intelligence 475
  • Control and Systems Engineering 215
  • Management Science and Operations Research 73
  • Computer Vision and Pattern Recognition 65
  • Electrical and Electronic Engineering 62
Replace Mario García-Valdéz with:
Mario García-Valdéz Mexico
Krzysztof Cpałka Poland
H.R. van Nauta Lemke Netherlands
Jörg Gebhardt Germany
Emanuel Ontiveros-Robles Mexico
Anima Naik India
Lie Meng Pang China
Qingzheng Xu China
Wenyong Dong China
Ahmed F. Ali Egypt
Mario García-Valdéz Mexico View profile →
Citations per field, relative to André Lemos
André Lemos · 1×
Citations per year, relative to André Lemos
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Countries citing papers authored by André Lemos

Since Specialization
Citations

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

Fields of papers citing papers by André Lemos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Lemos

This figure shows the co-authorship network connecting the top 25 collaborators of André Lemos. A scholar is included among the top collaborators of André Lemos 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 André Lemos. André Lemos 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 6
2 4
3 28
4 2
5 3
6 18
7 10
8
An affinity matrix approach for structure selection of extreme learning machines.
4
9 3
10 4
11 10
12 4
13 5
14 23
15
Modelagem nebulosa evolutiva: novas topologias e algoritmos de aprendizagem
2
16 12
17 6
18 116
19 150
20 3

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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