Thiago V. Spina

47 total papers · 494 total citations
25 papers, 243 citations indexed

About

Thiago V. Spina is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Thiago V. Spina has authored 25 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 2 papers in Cognitive Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Thiago V. Spina's work include Medical Image Segmentation Techniques (14 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Neural Network Applications (8 papers). Thiago V. Spina is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Neural Network Applications (8 papers). Thiago V. Spina collaborates with scholars based in Brazil, United States and Ghana. Thiago V. Spina's co-authors include Alexandre X. Falcão, Paulo A. V. Miranda, Mariano Tepper, Vassilios Morellas, Nikolaos Papanikolopoulos, Amy Esler, Guillermo Sapiro, Géraldine Dawson, Helen L. Egger and Alexandre Campane Vidal and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Computers & Geosciences.

In The Last Decade

Thiago V. Spina

24 papers receiving 231 citations

Author Peers

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

Author						Papers	Cites
Thiago V. Spina	111	69	29	27	17	25	243
Boonserm Kaewkamnerdpong	23 0.2×	64 0.9×	17 0.6×	64 2.4×	7 0.4×	30	273
Juan Xu	133 1.2×	75 1.1×	10 0.3×	31 1.1×	5 0.3×	24	227
Alexandre Mazel	47 0.4×	47 0.7×	8 0.3×	32 1.2×	6 0.4×	8	152
George Sidiropoulos	32 0.3×	62 0.9×	18 0.6×	63 2.3×	9 0.5×	30	239
Nuno Gonçalves	41 0.4×	93 1.3×	31 1.1×	7 0.3×	21 1.2×	30	232
Arnaud Dapogny	129 1.2×	69 1.0×	15 0.5×	30 1.1×	7 0.4×	22	239
Nicola Milano	31 0.3×	54 0.8×	19 0.7×	26 1.0×	17 1.0×	25	234
Cléber Gimenez Corrêa	75 0.7×	38 0.6×	7 0.2×	17 0.6×	2 0.1×	30	271
Antoine Hiolle	39 0.4×	87 1.3×	10 0.3×	57 2.1×	10 0.6×	21	242
Steven Sandoval	39 0.4×	34 0.5×	5 0.2×	92 3.4×	6 0.4×	38	257

Countries citing papers authored by Thiago V. Spina

Since Specialization

Citations

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

Fields of papers citing papers by Thiago V. Spina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thiago V. Spina. 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 Thiago V. Spina. The network helps show where Thiago V. Spina may publish in the future.

Co-authorship network of co-authors of Thiago V. Spina

This figure shows the co-authorship network connecting the top 25 collaborators of Thiago V. Spina. A scholar is included among the top collaborators of Thiago V. Spina 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 Thiago V. Spina. Thiago V. Spina 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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