Mateus Mendes

1.3k citations
60 papers · 848 · h-index 15

Impact in

Papers in

Mateus Mendes

55 papers receiving 799 citations

Peers

Mateus Mendes
Comparison fields: 5 of 126
  • Industrial and Manufacturing Engineering 169
  • Transportation 82
  • Biochemistry 69
  • Food Science 133
  • Computer Vision and Pattern Recognition 128
Replace Haochen Liu with:
Haochen Liu China
Fang Cao China
Zsolt Kemény Hungary
Gabriel Avelino Sampedro Philippines
Yanbo Liu China
Azura Che Soh Malaysia
Hao Chen China
Meenakshi Garg India
Sung-Ju Lee South Korea
Xiaomin Li China
Mateus Mendes relative to Haochen Liu China Haochen Liu's profile →
Citations per field
00.5×9.1×
Haochen Liu · 1×
Citations per year

Countries citing papers authored by Mateus Mendes

Since Specialization
Citations

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

Fields of papers citing papers by Mateus Mendes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mateus Mendes, 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 Mateus Mendes Line = papers co-authored together Mateus Mendes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014106
2 202193
3 202185
4 198059
5 197947
6 201531
7 202030
8 202028
9 197727
10 197826
11 201425
12 202123
13 202216
14 201915
15 202215
16 202114
17 202113
18 201712
19 200812
20 201812

About Mateus Mendes

Mateus Mendes is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence and Mechanical Engineering, having authored 60 papers that have together received 848 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (9 papers), Industrial Vision Systems and Defect Detection (8 papers), Advanced Image and Video Retrieval Techniques (5 papers), Robotic Path Planning Algorithms (4 papers), Postharvest Quality and Shelf Life Management (4 papers), Horticultural and Viticultural Research (4 papers), Robotics and Sensor-Based Localization (4 papers) and Currency Recognition and Detection (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (169 citations), Transportation (82 citations), Biochemistry (69 citations), Food Science (133 citations) and Computer Vision and Pattern Recognition (128 citations). Mateus Mendes has collaborated with scholars based in Portugal, Brazil and France. Frequent co-authors include José Torres Farinha, Raquel P. F. Guiné, António J. Marques Cardoso, José E.R. Cury, Fernando Gonçalves, Maria João Barroca, Fernando Gomide, A. Paulo Coimbra, Manuel Crisóstomo and Paula Correia. Their work appears in journals such as Energies, Applied Sciences, Eksploatacja i Niezawodnosc - Maintenance and Reliability, Sustainability and IEEE Transactions on Automatic Control.

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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