Tiago Gonçalves

490 citations
26 papers · 194 indexed · h-index 9

Tiago Gonçalves

23 papers receiving 187 citations

Peers

Tiago Gonçalves
Comparison fields: 5 of 63
  • Health Informatics 7
  • Computer Vision and Pattern Recognition 84
  • Artificial Intelligence 65
  • Signal Processing 20
  • Radiology, Nuclear Medicine and Imaging 38
Replace Marwa Elpeltagy with:
Marwa Elpeltagy Egypt
Hamza Osman İlhan Türkiye
Qianru Cheng China
Khawaja Tehseen Ahmed Pakistan
Veenu Rani India
Yufeng Zheng United States
Maheshi B. Dissanayake Sri Lanka
Toan Tran Vietnam
Geet Sahu India
Said Ghoniemy Egypt
Tiago Gonçalves relative to Marwa Elpeltagy Egypt Marwa Elpeltagy's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tiago Gonçalves

Since Specialization
Citations

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

Fields of papers citing papers by Tiago Gonçalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20231
5 20231
6 20221
7 202214
8 20227
9 202219
10 20221
11 202232
12 202223
13 20204
14 20201
15 202025
16 20183
17 20186
18
GammaEx project: A solution for CBRN remote sensing using unmanned aerial vehicles in maritime environments
20179
19 201012
20
Advanced Robotics and Autonomous Systems
20071

About Tiago Gonçalves

Tiago Gonçalves is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 26 papers that have together received 194 indexed citations. Recurring topics across this work include Face recognition and analysis (3 papers), Biometric Identification and Security (3 papers), Advanced Neural Network Applications (3 papers), Visual Attention and Saliency Detection (2 papers), Medical Image Segmentation Techniques (2 papers), Emotion and Mood Recognition (2 papers), AI in cancer detection (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Health Informatics (7 citations), Computer Vision and Pattern Recognition (84 citations) and Artificial Intelligence (65 citations). Tiago Gonçalves has collaborated with scholars based in Portugal, France and Germany. Frequent co-authors include Jaime S. Cardoso, Luís F. Teixeira, João Ribeiro Pinto, Maria João Cardoso, Ana F. Sequeira, José Raúl Azinheira, Rita Canas‐Marques, Hélder P. Oliveira, Patrick Rives and Naser Damer. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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