Patrick Nigri Happ

994 total citations
40 papers, 734 citations indexed

About

Patrick Nigri Happ is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Patrick Nigri Happ has authored 40 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Media Technology, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Ecology. Recurrent topics in Patrick Nigri Happ's work include Remote-Sensing Image Classification (15 papers), Remote Sensing in Agriculture (12 papers) and Remote Sensing and LiDAR Applications (11 papers). Patrick Nigri Happ is often cited by papers focused on Remote-Sensing Image Classification (15 papers), Remote Sensing in Agriculture (12 papers) and Remote Sensing and LiDAR Applications (11 papers). Patrick Nigri Happ collaborates with scholars based in Brazil, Spain and Italy. Patrick Nigri Happ's co-authors include Raul Queiroz Feitosa, Dário Augusto Borges Oliveira, Laura Elena Cué La Rosa, José David Bermúdez Castro, Gilson Alexandre Ostwald Pedro da Costa, José D. Bermúdez, Ieda Del’Arco Sanches, Alessandra Rodrigues Gomes, Cláudio Almeida and Cristiana Bentes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.

In The Last Decade

Patrick Nigri Happ

40 papers receiving 705 citations

Peers

Patrick Nigri Happ
Dengfeng Chai China
Tianjun Wu China
Hui Lin China
José Bessa Portugal
Mengmeng Li China
Farzaneh Dadrass Javan Iran
Loïc Landrieu France
Dimitris Stavrakoudis Greece
Dariush Abbasi‐Moghadam Iran
Jingfeng Huang China
Dengfeng Chai China
Patrick Nigri Happ
Citations per year, relative to Patrick Nigri Happ Patrick Nigri Happ (= 1×) peers Dengfeng Chai

Countries citing papers authored by Patrick Nigri Happ

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Nigri Happ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Nigri Happ. 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 Patrick Nigri Happ. The network helps show where Patrick Nigri Happ may publish in the future.

Co-authorship network of co-authors of Patrick Nigri Happ

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Nigri Happ. A scholar is included among the top collaborators of Patrick Nigri Happ 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 Patrick Nigri Happ. Patrick Nigri Happ 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.
Rosa, Laura Elena Cué La, et al.. (2024). XGBOOST and Multitemporal DETER Data for Deforestation Forecasting. SHILAP Revista de lepidopterología. X-3-2024. 193–198. 1 indexed citations
2.
Júnior, Luiz Francesquini, et al.. (2024). Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models. SHILAP Revista de lepidopterología. X-3-2024. 21–27. 2 indexed citations
3.
Happ, Patrick Nigri, et al.. (2023). A framework for enhancing industrial soft sensor learning models. SHILAP Revista de lepidopterología. 8. 100112–100112. 1 indexed citations
4.
Happ, Patrick Nigri, et al.. (2022). HOW FAR SHOULD I LOOK? A NEURAL ARCHITECTURE SEARCH STRATEGY FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES. SHILAP Revista de lepidopterología. V-3-2022. 17–23. 1 indexed citations
5.
Castro, José David Bermúdez, et al.. (2020). Atrous cGAN for SAR to Optical Image Translation. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 34 indexed citations
6.
Feitosa, Raul Queiroz, Patrick Nigri Happ, Laura Elena Cué La Rosa, et al.. (2020). Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery. Sensors. 20(2). 563–563. 99 indexed citations
7.
Feitosa, Raul Queiroz, et al.. (2020). Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery. Remote Sensing. 12(6). 910–910. 65 indexed citations
8.
Costa, Gilson Alexandre Ostwald Pedro da, et al.. (2020). DOMAIN ADAPTATION WITH CYCLEGAN FOR CHANGE DETECTION IN THE AMAZON FOREST. SHILAP Revista de lepidopterología. XLIII-B3-2020. 1635–1643. 10 indexed citations
9.
Beltrán, César, et al.. (2019). Mapping Ausangate glacier changes using clustering techniques on cloud computing infrastructure. 24. 54–54. 2 indexed citations
10.
Beltrán, César, et al.. (2019). MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE. SHILAP Revista de lepidopterología. XLII-2/W16. 29–34. 2 indexed citations
11.
Castro, José David Bermúdez, et al.. (2019). A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION. SHILAP Revista de lepidopterología. IV-2/W7. 167–173. 2 indexed citations
12.
Castro, José David Bermúdez, et al.. (2019). A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION. SHILAP Revista de lepidopterología. IV-2/W7. 25–32. 5 indexed citations
13.
Castro, José David Bermúdez, Raul Queiroz Feitosa, & Patrick Nigri Happ. (2018). An Hybrid Recurrent Convolutional Neural Network for Crop Type Recognition Based on Multitemporal Sar Image Sequences. 3824–3827. 12 indexed citations
14.
Castro, José David Bermúdez, Patrick Nigri Happ, Dário Augusto Borges Oliveira, & Raul Queiroz Feitosa. (2018). SAR TO OPTICAL IMAGE SYNTHESIS FOR CLOUD REMOVAL WITH GENERATIVE ADVERSARIAL NETWORKS. SHILAP Revista de lepidopterología. IV-1. 5–11. 66 indexed citations
15.
Happ, Patrick Nigri, Rodrigo S. Ferreira, Gilson Alexandre Ostwald Pedro da Costa, et al.. (2016). InterSeg: a distributed image segmentation tool. 2 indexed citations
16.
Feitosa, Raul Queiroz, et al.. (2016). Single Sample Face Recognition from Video via Stacked Supervised Auto-Encoder. 11. 96–103. 11 indexed citations
17.
Happ, Patrick Nigri, et al.. (2016). An object-based image interpretation application on cloud computing infrastructure. 1 indexed citations
18.
Costa, Gilson Alexandre Ostwald Pedro da, et al.. (2016). A New Cloud Computing Architecture for the Classification of Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(2). 409–416. 43 indexed citations
19.
Happ, Patrick Nigri, Rodrigo S. Ferreira, Gilson Alexandre Ostwald Pedro da Costa, et al.. (2015). Towards distributed region growing image segmentation based on MapReduce. 3. 4352–4355. 10 indexed citations
20.
Happ, Patrick Nigri, Raul Queiroz Feitosa, Cristiana Bentes, & Ricardo Farias. (2013). Um algoritmo de segmentação por crescimento de regiões para GPUs. Boletim de Ciências Geodésicas. 19(2). 208–226. 5 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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