Daniel Fernandes Gomes

661 citations
12 papers · 253 indexed · h-index 9
Topics
Tactile and Sensory Interactions (8 papers)Advanced Sensor and Energy Harvesting Materials (8 papers)Robot Manipulation and Learning (4 papers)

In The Last Decade

Daniel Fernandes Gomes

12 papers receiving 251 citations

Peers

Daniel Fernandes Gomes
Comparison fields: 5 of 37
  • Cognitive Neuroscience 175
  • Biomedical Engineering 156
  • Control and Systems Engineering 78
  • Human-Computer Interaction 50
  • Computer Vision and Pattern Recognition 27
Replace Carmelo Sferrazza with:
Carmelo Sferrazza Switzerland
Justin Lin United States
Dongseok Ryu South Korea
Hosam Alagi Germany
Andreas ten Pas United States
Tasbolat Taunyazov Singapore
Huanbo Sun Germany
Kunpeng Yao Switzerland
Ariel Kapusta United States
Marianna Madry Sweden
Daniel Fernandes Gomes relative to Carmelo Sferrazza Switzerland Carmelo Sferrazza's profile →
Citations per field
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Carmelo Sferrazza · 1×
Citations per year

Countries citing papers authored by Daniel Fernandes Gomes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fernandes Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Fernandes Gomes. 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 Daniel Fernandes Gomes. The network helps show where Daniel Fernandes Gomes may publish in the future.

Co-authorship network of co-authors of Daniel Fernandes Gomes

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fernandes Gomes. A scholar is included among the top collaborators of Daniel Fernandes Gomes 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 Daniel Fernandes Gomes. Daniel Fernandes Gomes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 24
3 8
4 11
5 15
6 15
7 67
8 9
9 13
10 77
11 10
12 1

About Daniel Fernandes Gomes

Daniel Fernandes Gomes is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Biomedical Engineering, having authored 12 papers that have together received 253 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (8 papers), Advanced Sensor and Energy Harvesting Materials (8 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Human-Computer Interaction (50 citations), Cognitive Neuroscience (175 citations) and Biomedical Engineering (156 citations). Daniel Fernandes Gomes has collaborated with scholars based in United Kingdom, China and Portugal. Frequent co-authors include Shan Luo, Zhonglin Lin, Paolo Paoletti, Jiaqi Jiang, Chen Lü, Yongqiang Zhao, Kun Qian, Paolo Paoletti, Filipe Fernandes and Eduardo Castro. Their work appears in journals such as Sensors, IEEE Transactions on Robotics and Robotics and Autonomous 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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