Erickson R. Nascimento

2.8k total citations · 2 hit papers
59 papers, 1.7k citations indexed

About

Erickson R. Nascimento is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Erickson R. Nascimento has authored 59 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 21 papers in Aerospace Engineering and 7 papers in Media Technology. Recurrent topics in Erickson R. Nascimento's work include Robotics and Sensor-Based Localization (21 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Advanced Vision and Imaging (15 papers). Erickson R. Nascimento is often cited by papers focused on Robotics and Sensor-Based Localization (21 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Advanced Vision and Imaging (15 papers). Erickson R. Nascimento collaborates with scholars based in Brazil, United States and France. Erickson R. Nascimento's co-authors include Mário F. M. Campos, Paulo Drews, Sílvia Silva da Costa Botelho, FABIOLA FIDELIZ GOMES DE MORAES, Gabriel L. Oliveira, Antônio Wilson Vieira, Renato Martins, Douglas G. Macharet, Zicheng Liu and André Araujo and has published in prestigious journals such as Journal of the American College of Cardiology, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Erickson R. Nascimento

54 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transmission Estimation in Underwater Single Images

2013 592 citations Paulo Drews, Erickson R. Nascimento et al. profile →
Underwater Depth Estimation and Image Restoration Based on Single Images

2016 506 citations Paulo Drews, Erickson R. Nascimento et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erickson R. Nascimento Brazil	16	1.5k	544	180	86	79	59	1.7k
Miao Yang China	10	1.4k 0.9×	636 1.2×	41 0.2×	104 1.2×	38 0.5×	40	1.6k
Yecai Guo China	11	500 0.3×	258 0.5×	54 0.3×	44 0.5×	46 0.6×	38	784
Dehuan Zhang China	18	808 0.5×	353 0.6×	34 0.2×	68 0.8×	33 0.4×	38	1.0k
Mei Yu China	24	1.6k 1.1×	544 1.0×	33 0.2×	45 0.5×	53 0.7×	162	1.8k
Kun Sun China	18	594 0.4×	133 0.2×	242 1.3×	30 0.3×	131 1.7×	54	905
Wenda Zhao China	19	819 0.6×	830 1.5×	194 1.1×	24 0.3×	96 1.2×	53	1.2k
Guojia Hou China	18	1.2k 0.8×	547 1.0×	37 0.2×	77 0.9×	26 0.3×	50	1.4k
Yifan Zhang China	17	880 0.6×	976 1.8×	224 1.2×	55 0.6×	134 1.7×	114	1.5k

Countries citing papers authored by Erickson R. Nascimento

Since Specialization

Citations

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

Fields of papers citing papers by Erickson R. Nascimento

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erickson R. Nascimento. 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 Erickson R. Nascimento. The network helps show where Erickson R. Nascimento may publish in the future.

Co-authorship network of co-authors of Erickson R. Nascimento

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Marcolino, Leandro Soriano, et al.. (2024). Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions. 6916–6925. 1 indexed citations

Nascimento, Erickson R., et al.. (2024). Empowering sign language communication: Integrating sentiment and semantics for facial expression synthesis. Computers & Graphics. 124. 104065–104065. 2 indexed citations

Araujo, André, et al.. (2024). XFeat: Accelerated Features for Lightweight Image Matching. 2682–2691. 39 indexed citations

Martins, Renato, et al.. (2023). Improving the matching of deformable objects by learning to detect keypoints. Pattern Recognition Letters. 175. 83–89. 3 indexed citations

Nascimento, Erickson R., et al.. (2022). A multimodal hyperlapse method based on video and songs’ emotion alignment. Pattern Recognition Letters. 166. 174–181. 4 indexed citations

Nascimento, Erickson R., et al.. (2022). An Action Recognition Approach with Context and Multiscale Motion Awareness. 73–78. 1 indexed citations

Nascimento, Erickson R., Bruno Ramos Nascimento, Craig Sable, et al.. (2021). Towards automatic diagnosis of rheumatic heart disease on echocardiographic exams through video-based deep learning. Journal of the American Medical Informatics Association. 28(9). 1834–1842. 24 indexed citations

Nascimento, Bruno Ramos, Erickson R. Nascimento, Gisele L. Pappa, et al.. (2021). SPATIAL-TEMPORAL DEEP-LEARNING FOR AUTOMATIC IDENTIFICATION OF RHEUMATIC HEART DISEASE IN ECHOCARDIOGRAPHIC SCREENING IMAGES - DATA FROM THE PROVAR-ATMOSPHERE STUDY. Journal of the American College of Cardiology. 77(18). 3243–3243.

Nascimento, Erickson R., et al.. (2021). Introducing the structural bases of typicality effects in deep learning. Image and Vision Computing. 113. 104249–104249. 1 indexed citations

10.

Marcolino, Leandro Soriano, et al.. (2020). Straight to the Point : Fast-forwarding Videos via Reinforcement Learning Using Textual Data. Lancaster EPrints (Lancaster University). 2 indexed citations

11.

Nascimento, Bruno Ramos, Erickson R. Nascimento, Gisele L. Pappa, et al.. (2020). DEEP LEARNING FOR AUTOMATIC IDENTIFICATION OF RHEUMATIC HEART DISEASE IN ECHOCARDIOGRAPHIC SCREENING IMAGES: DATA FROM THE ATMOSPHERE-PROVAR STUDY. Journal of the American College of Cardiology. 75(11). 3577–3577. 1 indexed citations

12.

Macharet, Douglas G., et al.. (2019). Fully Convolutional Siamese Autoencoder for Change Detection in UAV Aerial Images. IEEE Geoscience and Remote Sensing Letters. 17(8). 1455–1459. 32 indexed citations

13.

Nascimento, Erickson R., et al.. (2019). On Modeling the Effects of Auditory Annoyance on Driving Style and Passenger Comfort. 2234–2239.

14.

Nascimento, Erickson R., et al.. (2019). GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images. HAL (Le Centre pour la Communication Scientifique Directe). 10003–10011. 3 indexed citations

15.

Nascimento, Erickson R., et al.. (2019). Exploring the Limitations of the Convolutional Neural Networks on Binary Tests Selection for Local Features. 261–271. 1 indexed citations

16.

Drews, Paulo, Emili Hernández, Alberto Elfes, Erickson R. Nascimento, & Mário F. M. Campos. (2016). Real-time monocular obstacle avoidance using Underwater Dark Channel Prior. 4672–4677. 17 indexed citations

17.

Drews, Paulo, et al.. (2014). Generalized Optical Flow Model for Scattering Media. 12. 3999–4004. 8 indexed citations

18.

Nascimento, Erickson R., et al.. (2012). Appearance and Geometry Fusion for Enhanced Dense 3D Alignment. 4174. 47–54. 4 indexed citations

19.

Vieira, Luiz F. M., et al.. (2006). Fully automatic coloring of grayscale images. Image and Vision Computing. 25(1). 50–60. 13 indexed citations

20.

Vieira, Luiz F. M., et al.. (2004). Automatically choosing source color images for coloring grayscale images. 151–158. 12 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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