V. Paúl Pauca

3.9k total citations · 2 hit papers
44 papers, 2.7k citations indexed

About

V. Paúl Pauca is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, V. Paúl Pauca has authored 44 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Media Technology, 18 papers in Computer Vision and Pattern Recognition and 14 papers in Biomedical Engineering. Recurrent topics in V. Paúl Pauca's work include Advanced optical system design (8 papers), Remote-Sensing Image Classification (8 papers) and Image Processing Techniques and Applications (7 papers). V. Paúl Pauca is often cited by papers focused on Advanced optical system design (8 papers), Remote-Sensing Image Classification (8 papers) and Image Processing Techniques and Applications (7 papers). V. Paúl Pauca collaborates with scholars based in United States, Hong Kong and China. V. Paúl Pauca's co-authors include Robert J. Plemmons, Michael W. Berry, Murray Browne, Amy N. Langville, Jonathan Piper, Todd C. Torgersen, Sudhakar Prasad, Joseph van der Gracht, Han Wang and James G. Nagy and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

V. Paúl Pauca

42 papers receiving 2.5k 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.

Algorithms and applications for approximate nonnegative matrix factorization

2006 1.0k citations Michael W. Berry, V. Paúl Pauca et al. profile →
Document clustering using nonnegative matrix factorization

2005 400 citations Michael W. Berry, V. Paúl Pauca et al. profile →

Peers

Countries citing papers authored by V. Paúl Pauca

Since Specialization

Citations

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

Fields of papers citing papers by V. Paúl Pauca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Paúl Pauca. 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 V. Paúl Pauca. The network helps show where V. Paúl Pauca may publish in the future.

Co-authorship network of co-authors of V. Paúl Pauca

This figure shows the co-authorship network connecting the top 25 collaborators of V. Paúl Pauca. A scholar is included among the top collaborators of V. Paúl Pauca 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 V. Paúl Pauca. V. Paúl Pauca 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

#	Work	Indexed citations
1	Efficient Localization and Spatial Distribution Modeling of Canopy Palms Using UAV Imagery 2025 ·IEEE Transactions on Geoscience and Remote Sensing ·(unknown), Wei Tang, R. Y. Zhu, (unknown), (unknown), V. Paúl Pauca, Sarra Alqahtani, Fan Yang, (unknown), (unknown), Jordan Karubian, Raymond H. Chan, Robert J. Plemmons, Jean‐Michel Morel, Miles R. Silman	7
2	PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning 2024 ·(unknown), (unknown), (unknown), V. Paúl Pauca, Sarra Alqahtani, (unknown), (unknown), (unknown), David A. Lutz, Robert J. Plemmons, Miles R. Silman	8
3	A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis 2022 ·PLoS ONE ·(unknown), (unknown), (unknown), V. Paúl Pauca, Miles R. Silman	18
4	Machine Learning for Acoustic Emission Signatures in Composite Laminates 2017 ·(unknown), (unknown), (unknown), Joseph Schaefer, V. Paúl Pauca, (unknown)	1
5	Hierarchical modeling to facilitate personalized word prediction for dialogue 2013 ·National Conference on Artificial Intelligence ·(unknown), Jingyi Guo, (unknown), V. Paúl Pauca	1
6	Detecting objects under shadows by fusion of hyperspectral and LiDAR DATA: A physical model approach 2013 ·(unknown), V. Paúl Pauca, Robert J. Plemmons, (unknown)	16
7	A Novel Approach to Environment Reconstruction in LiDAR and HSI Datasets 2012 ·amos ·(unknown), Jianhuang Wu, V. Paúl Pauca, Robert J. Plemmons, (unknown)	3
8	Challenging ocular image recognition 2011 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·V. Paúl Pauca, (unknown), Xiao Xu, Robert J. Plemmons, (unknown)	11
9	Tensor methods for hyperspectral data analysis: a space object material identification study 2008 ·Journal of the Optical Society of America A ·(unknown), Han Wang, Robert J. Plemmons, V. Paúl Pauca	64
10	Nonnegative matrix factorization for spectral data analysis 2005 ·Linear Algebra and its Applications ·V. Paúl Pauca, Jonathan Piper, Robert J. Plemmons	413
11	Optimized Restoration Strategies for Recognition of Blurred Iris Images 2005 ·Frontiers in Optics ·(unknown), V. Paúl Pauca, Joseph van der Gracht	1
12	<title>Iris recognition with enhanced depth-of-field image acquistion</title> 2004 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Joseph van der Gracht, V. Paúl Pauca, (unknown), (unknown), Robert J. Plemmons, Sudhakar Prasad, Todd C. Torgersen	29
13	Computational imaging systems for iris recognition 2004 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Robert J. Plemmons, (unknown), (unknown), V. Paúl Pauca, Sudhakar Prasad, Stephen B. Robinson, (unknown), Todd C. Torgersen, Joseph van der Gracht, Edward R. Dowski, (unknown), Paulo E. X. Silveira	31
14	Text Mining using Non-Negative Matrix Factorizations 2004 ·V. Paúl Pauca, (unknown), Michael W. Berry, Robert J. Plemmons	202
15	Object Characterization from Spectral Data Using Nonnegative Factorization and Information Theory 2004 ·Jonathan Piper, V. Paúl Pauca, Robert J. Plemmons, (unknown)	35
16	A methodology towards automatic implementation of N-body algorithms 2002 ·Applied Numerical Mathematics ·V. Paúl Pauca, (unknown), X. Sun, Kishor S. Trivedi	0
17	Automated development of fast transforms 2001 ·V. Paúl Pauca, Xiaobai Sun	0
18	Structured matrix representations of two-parameter Hankel transforms in adaptive optics 2000 ·Linear Algebra and its Applications ·V. Paúl Pauca, Brent L. Ellerbroek, Robert J. Plemmons, X. Sun	5
19	Some computational problems arising in adaptive optics imaging systems 2000 ·Journal of Computational and Applied Mathematics ·Robert J. Plemmons, V. Paúl Pauca	2
20	A mathematical framework for the linear reconstructor problem in adaptive optics 2000 ·Linear Algebra and its Applications ·Moody T. Chu, V. Paúl Pauca, Robert J. Plemmons, Xiaobai Sun	4

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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