Matheus Gadelha

65 total papers · 1.2k total citations
20 papers, 428 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 20 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 14 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 3D Shape Modeling and Analysis (9 papers), Computer Graphics and Visualization Techniques (9 papers) and Advanced Vision and Imaging (6 papers). Matheus Gadelha is often cited by papers focused on 3D Shape Modeling and Analysis (9 papers), Computer Graphics and Visualization Techniques (9 papers) and Advanced Vision and Imaging (6 papers). Matheus Gadelha collaborates with scholars based in United States, Brazil and Canada. Matheus Gadelha's co-authors include Subhransu Maji, Rui Wang, Evangelos Kalogerakis, Rui Wang, Daniel Sheldon, Zezhou Cheng, Rui Wang, Xiaowei Zhou, Yiming Xie and Huaizu Jiang 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

16 papers receiving 418 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Matheus Gadelha	310	233	158	61	29	20	428
Merlin Nimier-David	280 0.9×	166 0.7×	270 1.7×	21 0.3×	23 0.8×	12	476
Junzhe Zhang	206 0.7×	211 0.9×	105 0.7×	133 2.2×	9 0.3×	18	433
Shangzhe Wu	329 1.1×	173 0.7×	103 0.7×	43 0.7×	12 0.4×	19	427
Alan Brunton	316 1.0×	161 0.7×	137 0.9×	22 0.4×	11 0.4×	27	475
Ignas Budvytis	372 1.2×	99 0.4×	58 0.4×	30 0.5×	18 0.6×	26	434
Yan Zhang	265 0.9×	259 1.1×	115 0.7×	102 1.7×	7 0.2×	27	405
Mike Bailey	155 0.5×	109 0.5×	117 0.7×	28 0.5×	12 0.4×	19	391
Noha Radwan	313 1.0×	121 0.5×	190 1.2×	33 0.5×	18 0.6×	10	368
Fábio Policarpo	249 0.8×	178 0.8×	257 1.6×	22 0.4×	12 0.4×	13	407
Giljoo Nam	344 1.1×	191 0.8×	157 1.0×	22 0.4×	28 1.0×	20	478

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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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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