Verônica Teichrieb

2.3k total citations
161 papers, 1.5k citations indexed

About

Verônica Teichrieb is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Aerospace Engineering. According to data from OpenAlex, Verônica Teichrieb has authored 161 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Computer Vision and Pattern Recognition, 59 papers in Human-Computer Interaction and 34 papers in Aerospace Engineering. Recurrent topics in Verônica Teichrieb's work include Augmented Reality Applications (65 papers), Virtual Reality Applications and Impacts (34 papers) and Robotics and Sensor-Based Localization (34 papers). Verônica Teichrieb is often cited by papers focused on Augmented Reality Applications (65 papers), Virtual Reality Applications and Impacts (34 papers) and Robotics and Sensor-Based Localization (34 papers). Verônica Teichrieb collaborates with scholars based in Brazil, Japan and United States. Verônica Teichrieb's co-authors include João Marcelo Teixeira, Lucas Figueiredo, Alana Elza Fontes Da Gama, João Paulo Lima, Rafael Roberto, Pascal Fallavollita, Nassir Navab, Judith Kelner, Hideaki Uchiyama and Meng Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Verônica Teichrieb

146 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Verônica Teichrieb Brazil 19 790 513 224 179 158 161 1.5k
Paulo Dias Portugal 20 774 1.0× 645 1.3× 137 0.6× 155 0.9× 59 0.4× 143 1.5k
Burkhard C. Wünsche New Zealand 17 445 0.6× 327 0.6× 236 1.1× 74 0.4× 125 0.8× 148 1.3k
Miguel Cazorla Spain 22 775 1.0× 174 0.3× 68 0.3× 327 1.8× 195 1.2× 136 1.7k
Gregorij Kurillo United States 28 1.5k 1.9× 651 1.3× 394 1.8× 118 0.7× 797 5.0× 90 2.6k
Emanuele Ruffaldi Italy 22 336 0.4× 412 0.8× 104 0.5× 176 1.0× 341 2.2× 116 1.9k
Ross Smith Australia 21 796 1.0× 876 1.7× 45 0.2× 47 0.3× 70 0.4× 145 1.6k
Tiziana D’Orazio Italy 27 1.1k 1.4× 222 0.4× 44 0.2× 267 1.5× 311 2.0× 115 2.2k
Franco Tecchia Italy 18 769 1.0× 867 1.7× 43 0.2× 50 0.3× 39 0.2× 57 1.4k
Haiwei Dong Canada 21 491 0.6× 270 0.5× 33 0.1× 110 0.6× 355 2.2× 78 1.7k
Evan A. Suma United States 27 895 1.1× 1.5k 3.0× 317 1.4× 37 0.2× 123 0.8× 71 2.5k

Countries citing papers authored by Verônica Teichrieb

Since Specialization
Citations

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

Fields of papers citing papers by Verônica Teichrieb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verônica Teichrieb

This figure shows the co-authorship network connecting the top 25 collaborators of Verônica Teichrieb. A scholar is included among the top collaborators of Verônica Teichrieb 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 Verônica Teichrieb. Verônica Teichrieb 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
1.
Lima, João Paulo, Hideaki Uchiyama, Diego Thomas, & Verônica Teichrieb. (2024). Fast direct multi-person radiance fields from sparse input with dense pose priors. Computers & Graphics. 124. 104063–104063. 1 indexed citations
2.
Teixeira, João Marcelo, et al.. (2024). What if Surgeons Could Practice Anywhere?. 319–323.
3.
Lima, Maria Luı́sa, et al.. (2024). ST-Gait++: Leveraging spatio-temporal convolutions for gait-based emotion recognition on videos. University of Twente Research Information. 302–310. 1 indexed citations
4.
Lima, João Paulo, et al.. (2023). DirectVoxGO++: Grid-based fast object reconstruction using radiance fields. Computers & Graphics. 114. 96–104. 4 indexed citations
5.
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
6.
Teichrieb, Verônica, et al.. (2023). Design-based research for the development of augmented reality applications: the case of virtual playground. SHILAP Revista de lepidopterología. 14(1). 160–160. 1 indexed citations
7.
Siqueira‐Silva, Diógenes Henrique de, João Paulo Lima, Diego Thomas, Hideaki Uchiyama, & Verônica Teichrieb. (2023). UMVpose++: Unsupervised Multi-View Multi-Person 3D Pose Estimation Using Ground Point Matching. 607–614. 2 indexed citations
8.
Roberto, Rafael, et al.. (2023). Development of Design Principles for AR Authoring Tools for Education Based on Teacher's Perspectives. IEEE Transactions on Learning Technologies. 17. 677–690. 4 indexed citations
9.
Lima, João Paulo, Diego Thomas, Hideaki Uchiyama, & Verônica Teichrieb. (2023). Toward Unlabeled Multi-View 3D Pedestrian Detection by Generalizable AI: Techniques and Performance Analysis. 1–6. 3 indexed citations
10.
Teixeira, João Marcelo, et al.. (2023). Low-Cost 3D Reconstruction of Caves. 1007–1014.
11.
Figueiredo, Lucas, et al.. (2022). The impact of domain randomization on cross-device monocular deep 6DoF detection. Pattern Recognition Letters. 159. 224–231. 1 indexed citations
12.
Teixeira, João Marcelo, et al.. (2022). Validation of Angle Estimation Based on Body Tracking Data from RGB-D and RGB Cameras for Biomechanical Assessment. Sensors. 23(1). 3–3. 27 indexed citations
13.
Teichrieb, Verônica, et al.. (2019). Usability and effects of text, image and audio feedback on exercise correction during augmented reality based motor rehabilitation. Computers & Graphics. 85. 100–110. 16 indexed citations
14.
Teixeira, João Marcelo, et al.. (2018). Ray Tracer based rendering solution for large scale fluid rendering. Computers & Graphics. 77. 65–79. 4 indexed citations
15.
Teixeira, João Marcelo, et al.. (2016). Evaluating Sign Language Recognition Using the Myo Armband. 64–70. 68 indexed citations
16.
Gama, Alana Elza Fontes Da, Lucas Figueiredo, Adriana Baltar, et al.. (2016). MirrARbilitation: A clinically-related gesture recognition interactive tool for an AR rehabilitation system. Computer Methods and Programs in Biomedicine. 135. 105–114. 68 indexed citations
17.
Gama, Alana Elza Fontes Da, Pascal Fallavollita, Verônica Teichrieb, & Nassir Navab. (2015). Motor Rehabilitation Using Kinect: A Systematic Review. Games for Health Journal. 4(2). 123–135. 116 indexed citations
18.
Teichrieb, Verônica, et al.. (2012). Considering Audience's View Towards an Evaluation Methodology for Digital Musical Instruments. New Interfaces for Musical Expression. 12 indexed citations
19.
Teichrieb, Verônica & Judith Kelner. (2007). Enhancement of radar based DEMs using 3D techniques. 4902–4905. 2 indexed citations
20.
Frery, Alejandro C., et al.. (2002). User Satisfaction through Empathy and Orientation in Three-Dimensional Worlds. CyberPsychology & Behavior. 5(5). 451–459. 9 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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