Robert J. Plemmons

9.3k total citations · 2 hit papers
175 papers, 6.0k citations indexed

About

Robert J. Plemmons is a scholar working on Computational Theory and Mathematics, Media Technology and Computational Mechanics. According to data from OpenAlex, Robert J. Plemmons has authored 175 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computational Theory and Mathematics, 39 papers in Media Technology and 37 papers in Computational Mechanics. Recurrent topics in Robert J. Plemmons's work include Matrix Theory and Algorithms (70 papers), Advanced Optimization Algorithms Research (27 papers) and Sparse and Compressive Sensing Techniques (26 papers). Robert J. Plemmons is often cited by papers focused on Matrix Theory and Algorithms (70 papers), Advanced Optimization Algorithms Research (27 papers) and Sparse and Compressive Sensing Techniques (26 papers). Robert J. Plemmons collaborates with scholars based in United States, Hong Kong and United Kingdom. Robert J. Plemmons's co-authors include V. Paúl Pauca, Michael W. Berry, Murray Browne, Amy N. Langville, Jonathan Piper, Abraham Berman, Michael Neumann, James G. Nagy, R. E. Funderlic and Michael K. Ng and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Robert J. Plemmons

164 papers receiving 5.3k 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 V. Paúl Pauca, Robert J. Plemmons et al. profile →
Document clustering using nonnegative matrix factorization

2005 400 citations V. Paúl Pauca, Robert J. Plemmons et al. profile →

Peers

Countries citing papers authored by Robert J. Plemmons

Since Specialization

Citations

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

Fields of papers citing papers by Robert J. Plemmons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Plemmons. 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 Robert J. Plemmons. The network helps show where Robert J. Plemmons may publish in the future.

Co-authorship network of co-authors of Robert J. Plemmons

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

All Works

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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	Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering 2024 ·IEEE Transactions on Geoscience and Remote Sensing ·(unknown), (unknown), (unknown), Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan	31
3	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
4	Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images 2023 ·Remote Sensing ·(unknown), (unknown), (unknown), David A. Coomes, Robert J. Plemmons, James M. Murphy	12
5	Joint 3D localization and classification of space debris using a multispectral rotating point spread function 2019 ·Applied Optics ·(unknown), Grey Ballard, Robert J. Plemmons, Sudhakar Prasad	3
6	Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery 2018 ·Chao Wang, Robert J. Plemmons, Sudhakar Prasad, Raymond H. Chan, Mila Nikolova	1
7	Trust-region methods for nonconvex sparse recovery optimization 2016 ·International Symposium on Information Theory and its Applications ·(unknown), Robert J. Plemmons, Lasith Adhikari, Roummel F. Marcia	1
8	Line‐Source Based X‐Ray Tomography 2009 ·International Journal of Biomedical Imaging ·(unknown), Hengyong Yu, (unknown), Robert J. Plemmons, Ge Wang	4
9	DISPLACEMENT PRECONDITIONER FOR TOEPLITZ LEAST SQUARES ITERATIONS 1994 ·ETNA - Electronic Transactions on Numerical Analysis ·Raymond H. Chan, James G. Nagy, Robert J. Plemmons	7
10	Block RLS using row householder reflections 1993 ·Linear Algebra and its Applications ·Adam W. Bojańczyk, James G. Nagy, Robert J. Plemmons	13
11	An inverse factorization algorithm for linear prediction 1992 ·Linear Algebra and its Applications ·James G. Nagy, Robert J. Plemmons	2
12	Parallel block schemes for large-scale least-squares computations 1988 ·University of Illinois Press eBooks ·Gene H. Golub, Robert J. Plemmons, Ahmed Sameh	12
13	Convergence of a direct-iterative method for large-scale least-squares problems 1985 ·Linear Algebra and its Applications ·Thomas L. Markham, Michael Neumann, Robert J. Plemmons	44
14	Generalized inverse-positivity and splittings of M-matrices 1979 ·Linear Algebra and its Applications ·Michael Neumann, Robert J. Plemmons	16
15	Direct iterative methods for least-squares solutions to singular operator equations 1975 ·Journal of Mathematical Analysis and Applications ·W. J. Kammerer, Robert J. Plemmons	14
16	Regular Nonnegative Matrices 1973 ·Proceedings of the American Mathematical Society ·Robert J. Plemmons	5
17	Regular nonnegative matrices 1973 ·Proceedings of the American Mathematical Society ·Robert J. Plemmons	25
18	Monotonicity and Iterative Approximations Involving Rectangular Matrices 1972 ·Mathematics of Computation ·Robert J. Plemmons	2
19	The generalized inverse of a nonnegative matrix 1972 ·Proceedings of the American Mathematical Society ·Robert J. Plemmons, Randall E. Cline	32
20	Monotonicity and iterative approximations involving rectangular matrices 1972 ·Mathematics of Computation ·Robert J. Plemmons	16

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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