Matheus Gadelha
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Geology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Subhransu MajiRui WangEvangelos KalogerakisZezhou ChengDaniel SheldonXiaowei ZhouHuaizu JiangYiming Xie
- Topics
- Computer Graphics and Visualization Techniques (9 papers)3D Shape Modeling and Analysis (9 papers)Advanced Vision and Imaging (6 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Computer VisionIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Matheus Gadelha
18 papers receiving 424 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 314
- Computational Mechanics 233
- Computer Graphics and Computer-Aided Design 160
- Geology 62
- Radiology, Nuclear Medicine and Imaging 30
Countries citing papers authored by Matheus Gadelha
This map shows the geographic impact of Matheus Gadelha'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 Matheus Gadelha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matheus Gadelha more than expected).
Fields of papers citing papers by Matheus Gadelha
This network shows the impact of papers produced by Matheus Gadelha. 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 Matheus Gadelha. The network helps show where Matheus Gadelha may publish in the future.
Co-authorship network of co-authors of Matheus Gadelha
This figure shows the co-authorship network connecting the top 25 collaborators of Matheus Gadelha. A scholar is included among the top collaborators of Matheus Gadelha 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 Matheus Gadelha. Matheus Gadelha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 23 | |
| 15 | 1 | |
| 16 | 73 | |
| 17 | 116 | |
| 18 | 152 | |
| 19 | 3 | |
| 20 | 4 |
About Matheus Gadelha
Matheus Gadelha is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 21 papers that have together received 434 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (9 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (160 citations), Computer Vision and Pattern Recognition (314 citations) and Computational Mechanics (233 citations). Matheus Gadelha has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Subhransu Maji, Rui Wang, Evangelos Kalogerakis, Rui Wang, Zezhou Cheng, Daniel Sheldon, Rui Wang, Xiaowei Zhou, Huaizu Jiang and Yiming Xie. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Computer Vision and IEEE Transactions on Visualization and Computer Graphics.
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.