João Marcelo Teixeira

938 total citations
89 papers, 580 citations indexed

About

João Marcelo Teixeira is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, João Marcelo Teixeira has authored 89 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 41 papers in Human-Computer Interaction and 9 papers in Cognitive Neuroscience. Recurrent topics in João Marcelo Teixeira's work include Augmented Reality Applications (32 papers), Virtual Reality Applications and Impacts (26 papers) and Interactive and Immersive Displays (16 papers). João Marcelo Teixeira is often cited by papers focused on Augmented Reality Applications (32 papers), Virtual Reality Applications and Impacts (26 papers) and Interactive and Immersive Displays (16 papers). João Marcelo Teixeira collaborates with scholars based in Brazil, Portugal and United Kingdom. João Marcelo Teixeira's co-authors include Verônica Teichrieb, Lucas Figueiredo, João Paulo Lima, Judith Kelner, Rafael Roberto, Ronaldo A. Ferreira, Alana Elza Fontes Da Gama, E. Rodrigues, José G. F. Coutinho and José Fonseca and has published in prestigious journals such as Expert Systems with Applications, Sensors and Polymers.

In The Last Decade

João Marcelo Teixeira

68 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João Marcelo Teixeira Brazil 12 266 212 80 66 64 89 580
Sehat Ullah Pakistan 15 275 1.0× 232 1.1× 99 1.2× 66 1.0× 52 0.8× 66 682
Kwangyun Wohn South Korea 14 201 0.8× 310 1.5× 70 0.9× 34 0.5× 139 2.2× 54 599
Uli Bockholt Germany 8 534 2.0× 473 2.2× 55 0.7× 36 0.5× 39 0.6× 13 876
Gianluca Paravati Italy 14 338 1.3× 214 1.0× 31 0.4× 148 2.2× 43 0.7× 47 626
Yoshinari Kameda Japan 13 572 2.2× 221 1.0× 35 0.4× 97 1.5× 74 1.2× 99 834
Alexandre Cardoso Brazil 12 169 0.6× 132 0.6× 51 0.6× 22 0.3× 61 1.0× 122 487
Florian Niebling Germany 13 236 0.9× 224 1.1× 47 0.6× 43 0.7× 79 1.2× 49 662
Stefano Ricciardi Italy 15 426 1.6× 168 0.8× 67 0.8× 20 0.3× 41 0.6× 53 806
Nuno Lau Portugal 13 191 0.7× 89 0.4× 113 1.4× 97 1.5× 42 0.7× 111 685
Arnulph Fuhrmann Germany 14 467 1.8× 259 1.2× 45 0.6× 97 1.5× 87 1.4× 46 921

Countries citing papers authored by João Marcelo Teixeira

Since Specialization
Citations

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

Fields of papers citing papers by João Marcelo Teixeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João Marcelo Teixeira. 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 João Marcelo Teixeira. The network helps show where João Marcelo Teixeira may publish in the future.

Co-authorship network of co-authors of João Marcelo Teixeira

This figure shows the co-authorship network connecting the top 25 collaborators of João Marcelo Teixeira. A scholar is included among the top collaborators of João Marcelo Teixeira 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 João Marcelo Teixeira. João Marcelo Teixeira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Teixeira, João Marcelo, et al.. (2024). Interface e Interatividade em Tours Virtuais: um estudo no Museu do Ipiranga. 165–172.
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Nunes, Fátima L. S., et al.. (2024). What if Video See-Through in HMDs Changes How Accurately We Perform Tasks?. 213–222. 1 indexed citations
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Teixeira, João Marcelo, et al.. (2024). What if HMDs could generate audio descriptions of real scenes for visually impaired people?. 203–212. 1 indexed citations
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Teixeira, João Marcelo, et al.. (2024). What if Surgeons Could Practice Anywhere?. 319–323.
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Teixeira, João Marcelo, et al.. (2024). What if Virtual Reality could be used as a Tool in Positive Psychotherapy in Brazil?. 324–328. 1 indexed citations
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Teixeira, João Marcelo, et al.. (2023). Metaverse and cultural preservation: an alternative through NFTs of social sustainability in Brazil. 131–140. 3 indexed citations
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Oliveira, Renato, et al.. (2023). A Survey on Datasets for Emotion Recognition from Vision: Limitations and In-the-Wild Applicability. Applied Sciences. 13(9). 5697–5697. 2 indexed citations
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Teixeira, João Marcelo, et al.. (2023). Towards the Effectiveness of 3D Printing on Tactile Content Creation for Visually Impaired Users. Polymers. 15(9). 2180–2180. 1 indexed citations
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Teixeira, João Marcelo, et al.. (2022). Augmented Reading. 55–61.
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Teixeira, João Marcelo, et al.. (2018). Ray Tracer based rendering solution for large scale fluid rendering. Computers & Graphics. 77. 65–79. 4 indexed citations
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Teixeira, João Marcelo, et al.. (2016). Evaluating Sign Language Recognition Using the Myo Armband. 64–70. 68 indexed citations
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Manchaiah, Vinaya, et al.. (2015). MISMATCH NEGATIVITY AND THE N2B COMPONENTELICITED BY PURE TONES AND SPEECH SOUNDS IN ANOMICAPHASIA: A CASE STUDY. Journal of Hearing Science. 5(2). 51–59. 1 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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