Keiller Nogueira

2.2k total citations · 2 hit papers
30 papers, 1.7k citations indexed

About

Keiller Nogueira is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Ecology. According to data from OpenAlex, Keiller Nogueira has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Environmental Engineering and 7 papers in Ecology. Recurrent topics in Keiller Nogueira's work include Advanced Image and Video Retrieval Techniques (11 papers), Remote Sensing and LiDAR Applications (8 papers) and Remote Sensing in Agriculture (7 papers). Keiller Nogueira is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Remote Sensing and LiDAR Applications (8 papers) and Remote Sensing in Agriculture (7 papers). Keiller Nogueira collaborates with scholars based in Brazil, United Kingdom and France. Keiller Nogueira's co-authors include Jefersson A. dos Santos, Otávio A. B. Penatti, José Marcato, Wesley Nunes Gonçalves, Ricardo da Silva Torres, Ana Paula Marques Ramos, Danielle Elis Garcia Furuya, Lucas Prado Osco, Javier A. V. Muñoz and Samuel G. Fadel and has published in prestigious journals such as The Science of The Total Environment, IEEE Access and Pattern Recognition.

In The Last Decade

Keiller Nogueira

29 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.

Towards better exploiting convolutional neural networks for remote sensing scene classification

2016 714 citations Keiller Nogueira, Otávio A. B. Penatti et al. Pattern Recognition profile →
Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?

2015 566 citations Otávio A. B. Penatti, Keiller Nogueira et al. Stirling Online Research Repository (University of Stirling) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keiller Nogueira Brazil	13	1000	794	402	371	298	30	1.7k
Otávio A. B. Penatti Brazil	15	1.1k 1.1×	1.1k 1.4×	409 1.0×	286 0.8×	197 0.7×	42	2.1k
Fan Hu China	12	977 1.0×	771 1.0×	389 1.0×	239 0.6×	164 0.6×	20	1.4k
Jefersson A. dos Santos Brazil	21	1.4k 1.4×	1.3k 1.7×	541 1.3×	522 1.4×	320 1.1×	109	2.7k
Farhad Samadzadegan Iran	27	776 0.8×	460 0.6×	349 0.9×	329 0.9×	486 1.6×	128	1.9k
Erzhu Li China	19	752 0.8×	398 0.5×	471 1.2×	310 0.8×	242 0.8×	62	1.3k
Bei Zhao China	16	1.3k 1.3×	764 1.0×	646 1.6×	366 1.0×	195 0.7×	22	1.8k
Κωνσταντίνος Καράντζαλος Greece	28	1.3k 1.3×	659 0.8×	681 1.7×	554 1.5×	456 1.5×	115	2.6k
Chenxi Duan China	11	1.5k 1.5×	1.1k 1.4×	483 1.2×	218 0.6×	362 1.2×	18	2.2k
Huihui Song China	20	1.4k 1.4×	713 0.9×	395 1.0×	735 2.0×	448 1.5×	39	2.1k
Michele Volpi Switzerland	22	1.4k 1.4×	766 1.0×	712 1.8×	606 1.6×	338 1.1×	61	2.4k

Countries citing papers authored by Keiller Nogueira

Since Specialization

Citations

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

Fields of papers citing papers by Keiller Nogueira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiller Nogueira

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

Roscher, Ribana, Marc Rußwurm, Caroline Gevaert, et al.. (2025). Better, Not Just More: Data-centric machine learning for Earth observation. IEEE Geoscience and Remote Sensing Magazine. 13(3). 512–532.

Roscher, Ribana, Marc Rußwurm, Caroline Gevaert, et al.. (2024). Better, Not Just More: Data-centric machine learning for Earth observation. IEEE Geoscience and Remote Sensing Magazine. 12(4). 335–355. 4 indexed citations

Starling, Maria Clara V.M., et al.. (2023). Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirs. The Science of The Total Environment. 902. 165964–165964. 13 indexed citations

Nogueira, Keiller, et al.. (2022). Facing the Void: Overcoming Missing Data in Multi-View Imagery. IEEE Access. 11. 12547–12554. 5 indexed citations

Martins, José Augusto Correa, Keiller Nogueira, Lucas Prado Osco, et al.. (2021). Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning. Remote Sensing. 13(16). 3054–3054. 50 indexed citations

Osco, Lucas Prado, Keiller Nogueira, Ana Paula Marques Ramos, et al.. (2021). Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery. Precision Agriculture. 22(4). 1171–1188. 58 indexed citations

Bhowmik, Deepayan, et al.. (2021). Security and Forensics Exploration of Learning-based Image Coding. Newcastle University ePrints (Newcastle Univesity). 1–5. 3 indexed citations

Martins, José Augusto Correa, Keiller Nogueira, Paulo Tarso Sanches de Oliveira, et al.. (2021). Segmentation of Tree Canopies in Urban Environments Using Dilated Convolutional Neural Network. 6932–6935. 3 indexed citations

Marcato, José, Jonathan de Andrade Silva, Gabriela Takahashi Miyoshi, et al.. (2021). Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images. Remote Sensing. 13(13). 2482–2482. 27 indexed citations

10.

Nogueira, Keiller, et al.. (2020). Facing Erosion Identification in Railway Lines Using Pixel-Wise Deep-Based Approaches. Remote Sensing. 12(4). 739–739. 6 indexed citations

11.

Nogueira, Keiller, et al.. (2019). Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters. 16(10). 1665–1669. 15 indexed citations

12.

Nogueira, Keiller, Samuel G. Fadel, Rafael de Oliveira Werneck, et al.. (2018). Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters. 15(9). 1446–1450. 63 indexed citations

13.

Nogueira, Keiller, et al.. (2017). Deep contextual description of superpixels for aerial urban scenes classification. 55. 3027–3031. 2 indexed citations

14.

Nogueira, Keiller, et al.. (2017). Learning Deep Features on Multiple Scales for Coffee Crop Recognition. 262–268. 13 indexed citations

15.

Muñoz, Javier A. V., Lin Tzy Li, Keiller Nogueira, et al.. (2016). RECOD @ Placing Task of MediaEval 2016: A Ranking Fusion Approach for Geographic-Location Prediction of Multimedia Objects.. MediaEval. 1 indexed citations

16.

Nogueira, Keiller, Mauro Dalla Mura, Jocelyn Chanussot, William Robson Schwartz, & Jefersson A. dos Santos. (2016). Learning to semantically segment high-resolution remote sensing images. Stirling Online Research Repository (University of Stirling). 3566–3571. 21 indexed citations

17.

Nogueira, Keiller, Otávio A. B. Penatti, & Jefersson A. dos Santos. (2016). Towards better exploiting convolutional neural networks for remote sensing scene classification. Pattern Recognition. 61. 539–556. 714 indexed citations breakdown →

18.

Nogueira, Keiller, et al.. (2016). Towards vegetation species discrimination by using data-driven descriptors. UNESP Institutional Repository (São Paulo State University). 1–6. 16 indexed citations

19.

Li, Lin Tzy, Javier A. V. Muñoz, Jurandy Almeida, et al.. (2015). RECOD @ placing task of MediaEval 2015. UNESP Institutional Repository (São Paulo State University). 4 indexed citations

20.

Nogueira, Keiller, et al.. (2015). Improving Spatial Feature Representation from Aerial Scenes by Using Convolutional Networks. 289–296. 41 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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