Matheus Gadelha

1.2k total citations
21 papers, 434 citations indexed

About

Matheus Gadelha is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Matheus Gadelha has authored 21 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Matheus Gadelha's work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (9 papers) and Advanced Vision and Imaging (6 papers). Matheus Gadelha is often cited by papers focused on Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (9 papers) and Advanced Vision and Imaging (6 papers). Matheus Gadelha collaborates with scholars based in United States, Canada and Brazil. Matheus Gadelha's co-authors include Subhransu Maji, Rui Wang, Evangelos Kalogerakis, Rui Wang, Zezhou Cheng, Daniel Sheldon, Rui Wang, Huaizu Jiang, Fengting Yang and Xiaowei Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Computer Vision and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Matheus Gadelha

18 papers receiving 424 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matheus Gadelha United States	7	314	233	160	62	30	21	434
Michael Niemeyer United States	8	491 1.6×	285 1.2×	322 2.0×	43 0.7×	22 0.7×	14	629
Fanbo Xiang United States	5	448 1.4×	203 0.9×	296 1.9×	35 0.6×	13 0.4×	9	541
Kangle Deng United States	4	425 1.4×	152 0.7×	243 1.5×	45 0.7×	15 0.5×	5	509
Yuanqing Zhang China	7	430 1.4×	300 1.3×	253 1.6×	32 0.5×	11 0.4×	13	538
Jiapeng Tang China	8	214 0.7×	217 0.9×	168 1.1×	61 1.0×	8 0.3×	17	350
Rundi Wu United States	5	314 1.0×	261 1.1×	218 1.4×	76 1.2×	7 0.2×	8	522
Shangzhe Wu United Kingdom	8	326 1.0×	174 0.7×	103 0.6×	42 0.7×	12 0.4×	18	411
Keunhong Park United States	6	410 1.3×	217 0.9×	253 1.6×	33 0.5×	12 0.4×	7	495
Noha Radwan United States	3	323 1.0×	124 0.5×	194 1.2×	34 0.5×	19 0.6×	10	382

Countries citing papers authored by Matheus Gadelha

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Hold-Geoffroy, Yannick, et al.. (2025). Motion Modes: What Could Happen Next?. 2030–2039.

Serrano, Ana, Belén Masiá, Matheus Gadelha, et al.. (2025). PreciseCam: Precise Camera Control for Text-to-Image Generation. Zaguan (University of Zaragoza Repository). 2724–2733. 1 indexed citations

Gadelha, Matheus, et al.. (2025). Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects. 16273–16282. 1 indexed citations

Guerrero, Paul, et al.. (2024). Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D. 7695–7704. 9 indexed citations

Chen, Yunchun, et al.. (2024). Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. 1–11.

Ceylan, Duygu, et al.. (2024). Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models. 7611–7620. 6 indexed citations

Gadelha, Matheus, Thibault Groueix, M. Fisher, et al.. (2024). Learning Continuous 3D Words for Text-to-Image Generation. 6753–6762. 3 indexed citations

Kim, Vladimir G., et al.. (2024). GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. 1–11. 2 indexed citations

Gadelha, Matheus, et al.. (2023). ANISE: Assembly-Based Neural Implicit Surface Reconstruction. IEEE Transactions on Visualization and Computer Graphics. 30(8). 4514–4526. 4 indexed citations

10.

Xie, Yiming, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, & Huaizu Jiang. (2022). PlanarRecon: Realtime 3D Plane Detection and Reconstruction from Posed Monocular Videos. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6209–6218. 21 indexed citations

11.

RoyChowdhury, Aruni, Matheus Gadelha, Liangliang Cao, et al.. (2022). PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. Computer Graphics Forum. 41(5). 39–50. 10 indexed citations

12.

Sharma, Sahil, et al.. (2021). Trace Match & Merge: Long-Term Field-Of-View Prediction for AR Applications. 3 indexed citations

13.

Gadelha, Matheus, et al.. (2020). Inferring 3D Shapes from Image Collections Using Adversarial Networks. International Journal of Computer Vision. 128(10-11). 2651–2664. 2 indexed citations

14.

Gadelha, Matheus, Rui Wang, & Subhransu Maji. (2019). Shape Reconstruction Using Differentiable Projections and Deep Priors. 22–30. 23 indexed citations

15.

Gadelha, Matheus, et al.. (2019). Automatic Fuzzy Segmentation of Textural Images Using Adaptive Divergence Affinity Functions. 2. 51–56. 1 indexed citations

16.

Cheng, Zezhou, Matheus Gadelha, Subhransu Maji, & Daniel Sheldon. (2019). A Bayesian Perspective on the Deep Image Prior. 5438–5446. 73 indexed citations

17.

Gadelha, Matheus, Subhransu Maji, & Rui Wang. (2017). 3D Shape Induction from 2D Views of Multiple Objects. 402–411. 152 indexed citations

18.

Gadelha, Matheus, et al.. (2017). 3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. 67–77. 116 indexed citations

19.

Gadelha, Matheus & Bruno M. Carvalho. (2014). DRINK: Discrete Robust Invariant Keypoints. 6312. 821–826. 3 indexed citations

20.

Gadelha, Matheus, et al.. (2013). A video-tracking based serious game for motor rehabilitation of post-stroke hand impairment. SHILAP Revista de lepidopterología. 3(2). 4 indexed citations

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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