André Lemos

1.0k citations
36 papers · 704 · h-index 13

Impact in

    • Fuzzy Logic and Control Systems
    • Neural Networks and Applications
    • Data Stream Mining Techniques
    • Machine Learning and ELM
    • Anomaly Detection Techniques and Applications
    • Fault Detection and Control Systems

Papers in

André Lemos

35 papers receiving 689 citations

Peers

André Lemos
Comparison fields: 5 of 75
  • Artificial Intelligence 475
  • Control and Systems Engineering 215
  • Statistics and Probability 53
  • Management Science and Operations Research 73
  • Signal Processing 43
Replace Mario García-Valdéz with:
Mario García-Valdéz Mexico
Krzysztof Cpałka Poland
Jörg Gebhardt Germany
H.R. van Nauta Lemke Netherlands
Qingzheng Xu China
Lokesh Kumar Panwar India
Oveis Abedinia Iran
A.L.P. Chen Taiwan
Yabing Zha China
Ahmed F. Ali Egypt
André Lemos relative to Mario García-Valdéz Mexico Mario García-Valdéz's profile →
Citations per field
00.5×1.5×2.0×
Mario García-Valdéz · 1×
Citations per year

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-authors

The 19 scholars most cited alongside André Lemos, 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 André Lemos Line = papers co-authored together André Lemos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010150
2 2011116
3 201369
4 201241
5 201140
6 201138
7 201035
8 202028
9 201223
10 201818
11 201413
12 201313
13 201112
14 201511
15 201610
16 201510
17 20228
18 20226
19 20116
20 20126

About André Lemos

André Lemos is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistics and Probability, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 704 indexed citations. Recurring topics across this work include Neural Networks and Applications (20 papers), Fuzzy Logic and Control Systems (20 papers), Fuzzy Systems and Optimization (9 papers), Fault Detection and Control Systems (8 papers), Stock Market Forecasting Methods (5 papers), Machine Learning and ELM (3 papers), Advanced Statistical Process Monitoring (2 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Artificial Intelligence (475 citations), Control and Systems Engineering (215 citations), Statistics and Probability (53 citations), Management Science and Operations Research (73 citations) and Signal Processing (43 citations). André Lemos has collaborated with scholars based in Brazil, Israel and United States. Frequent co-authors include Walmir M. Caminhas, Fernando Gomide, Alisson Marques da Silva, Leandro Maciel, Rosângela Ballini, Wallace C. Boaventura, Cristiano Leite de Castro, Antônio P. Braga, Pedro Calais and Frederico Gadelha Guimarães. Their work appears in journals such as Evolving Systems, Information Sciences, Engineering Applications of Artificial Intelligence, Neurocomputing and International Journal of Computational Intelligence Systems.

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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