André Lemos

1.0k citations
43 papers · 818 · h-index 14

Impact in

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

Papers in

André Lemos

39 papers receiving 805 citations

Peers

André Lemos
Comparison fields: 5 of 82
  • Artificial Intelligence 560
  • Control and Systems Engineering 252
  • Statistics and Probability 63
  • Management Science and Operations Research 84
  • Signal Processing 49
Replace Hannu Koivisto with:
Hannu Koivisto Finland
Volker Lohweg Germany
Syibrah Naim Malaysia
Moamar Sayed‐Mouchaweh France
Abdoljalil Addeh Iran
M. Khalid Malaysia
G.A. Vijayalakshmi Pai India
H.R. van Nauta Lemke Netherlands
Baoqun Yin China
Agustín Jiménez Spain
André Lemos relative to Hannu Koivisto Finland Hannu Koivisto's profile →
Citations per field
00.5×3.3×
Hannu Koivisto · 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 21 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010163
2 2011127
3 201379
4 201143
5 201042
6 201241
7 201140
8 202032
9 201226
10 201820
11 201316
12 201114
13 201414
14 201014
15 201213
16 201512
17 201612
18 201511
19 202210
20 20178

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 43 papers that have together received 818 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (23 papers), Neural Networks and Applications (22 papers), Fault Detection and Control Systems (11 papers), Fuzzy Systems and Optimization (9 papers), Stock Market Forecasting Methods (5 papers), Machine Learning and ELM (3 papers), Mineral Processing and Grinding (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Artificial Intelligence (560 citations), Control and Systems Engineering (252 citations), Statistics and Probability (63 citations), Management Science and Operations Research (84 citations) and Signal Processing (49 citations). André Lemos has collaborated with scholars based in Brazil, United States and Israel. Frequent co-authors include Walmir M. Caminhas, Fernando Gomide, Alisson Marques da Silva, Rosângela Ballini, Leandro Maciel, Wallace C. Boaventura, Cristiano Leite de Castro, Antônio P. Braga, Pedro Calais and Miri Cohen. Their work appears in journals such as Evolving Systems, Information Sciences, Engineering Applications of Artificial Intelligence, Expert Systems with Applications and IEEE Transactions on Fuzzy 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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