Vitor Guizilini

126 total papers · 1.4k total citations
54 papers, 683 citations indexed

About

Vitor Guizilini is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Vitor Guizilini has authored 54 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 20 papers in Aerospace Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Vitor Guizilini's work include Advanced Vision and Imaging (24 papers), Robotics and Sensor-Based Localization (17 papers) and Optical measurement and interference techniques (9 papers). Vitor Guizilini is often cited by papers focused on Advanced Vision and Imaging (24 papers), Robotics and Sensor-Based Localization (17 papers) and Optical measurement and interference techniques (9 papers). Vitor Guizilini collaborates with scholars based in Australia, Brazil and United States. Vitor Guizilini's co-authors include Fábio Ramos, Adrien Gaidon, Rareş Ambruş, Jefferson R. Souza, Dian Chen, Greg Shakhnarovich, Kuan-Hui Lee, Jie Li, Gabriel Vasconcelos and Kelen Cristiane Teixeira Vivaldini and has published in prestigious journals such as IEEE Access, The International Journal of Robotics Research and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Vitor Guizilini

48 papers receiving 661 citations

Author Peers

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

Author						Papers	Cites
Vitor Guizilini	447	271	104	88	64	54	683
Stanley T. Birchfield	467 1.0×	166 0.6×	44 0.4×	43 0.5×	49 0.8×	34	688
Shengrong Gong	373 0.8×	207 0.8×	91 0.9×	120 1.4×	47 0.7×	96	735
Fernando Vanegas	327 0.7×	389 1.4×	23 0.2×	64 0.7×	67 1.0×	40	640
Qinfen Zheng	406 0.9×	147 0.5×	82 0.8×	81 0.9×	52 0.8×	37	570
Rodney Walker	241 0.5×	297 1.1×	68 0.7×	39 0.4×	180 2.8×	30	595
Eric Pauwels	417 0.9×	115 0.4×	128 1.2×	57 0.6×	17 0.3×	65	664
Guang Jiang	327 0.7×	191 0.7×	53 0.5×	90 1.0×	51 0.8×	54	663
Siniša Šegvić	481 1.1×	203 0.7×	79 0.8×	110 1.3×	41 0.6×	55	598
Ting Rui	376 0.8×	159 0.6×	93 0.9×	83 0.9×	24 0.4×	65	635
Murari Mandal	476 1.1×	74 0.3×	118 1.1×	183 2.1×	35 0.5×	32	791

Countries citing papers authored by Vitor Guizilini

Since Specialization

Citations

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

Fields of papers citing papers by Vitor Guizilini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vitor Guizilini

This figure shows the co-authorship network connecting the top 25 collaborators of Vitor Guizilini. A scholar is included among the top collaborators of Vitor Guizilini 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 Vitor Guizilini. Vitor Guizilini 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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