Paulo Gonçalves

53 papers receiving 919 citations

Peers

Paulo Gonçalves
Comparison fields: 5 of 109
  • Artificial Intelligence 380
  • Control and Systems Engineering 294
  • Computer Vision and Pattern Recognition 208
  • Mechanical Engineering 155
  • Industrial and Manufacturing Engineering 147
Replace Edson Prestes with:
Edson Prestes Brazil
Edward Tunstel United States
Zeashan Hameed Khan Pakistan
Raj Madhavan United States
Haobin Shi China
Mohammed El-Abd Kuwait
Stephen Balakirsky United States
Bhaskara Marthi United States
Ngoc Duy Nguyen Australia
Damjan Miklić Croatia
Paulo Gonçalves relative to Edson Prestes Brazil Edson Prestes's profile →
Citations per field
00.5×1.5×
Edson Prestes · 1×
Citations per year

Countries citing papers authored by Paulo Gonçalves

Since Specialization
Citations

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

Fields of papers citing papers by Paulo Gonçalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulo Gonçalves

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo Gonçalves. A scholar is included among the top collaborators of Paulo Gonçalves 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 Paulo Gonçalves. Paulo Gonçalves 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
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 1
6 6
7 1
8 67
9 52
10 0
11
Robotic Ontological Standard Development Life Cycle
4
12 51
13 17
14 42
15 73
16
An Analysis and List of Concepts of Social Marketing, Social Responsibility and Cause Related Marketing
2
17
Learning Approaches to Visual Control of Robotic Manipulators
3
18
Proceedings of the 9th Conference on Autonomous Robot Systems and Competitions
65
19
Using LMI techniques to control intelligent structures
2
20
Kinematic and dynamic 2D visual servoing
3

About Paulo Gonçalves

Paulo Gonçalves is a scholar working on Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 967 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Robotics and Automated Systems (11 papers) and AI-based Problem Solving and Planning (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (147 citations), Control and Systems Engineering (294 citations) and Artificial Intelligence (380 citations). Paulo Gonçalves has collaborated with scholars based in Portugal, Brazil and United States. Frequent co-authors include Edson Prestes, Howard Li, Sandro Rama Fiorini, João M. C. Sousa, Maki K. Habib, Craig Schlenoff, Joel Luís Carbonera, Marcos Barreto, Tamás Haidegger and Joanna Isabelle Olszewska. Their work appears in journals such as Food Chemistry, The Journal of the Acoustical Society of America and Sensors.

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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