Carmeliza Navasca

643 total citations
22 papers, 351 citations indexed

About

Carmeliza Navasca is a scholar working on Computational Mathematics, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Carmeliza Navasca has authored 22 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mathematics, 15 papers in Computational Mechanics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Carmeliza Navasca's work include Tensor decomposition and applications (16 papers), Sparse and Compressive Sensing Techniques (11 papers) and Image and Signal Denoising Methods (4 papers). Carmeliza Navasca is often cited by papers focused on Tensor decomposition and applications (16 papers), Sparse and Compressive Sensing Techniques (11 papers) and Image and Signal Denoising Methods (4 papers). Carmeliza Navasca collaborates with scholars based in United States, Austria and China. Carmeliza Navasca's co-authors include Na Li, Christino Tamon, Michael Brazell, Stefan Kindermann, Na Li, Lieven De Lathauwer, Kirsten Morris, Arthur J. Krener, Zhuo‐Heng He and Xiangxiang Wang and has published in prestigious journals such as Chemometrics and Intelligent Laboratory Systems, Nonlinear Analysis and Linear Algebra and its Applications.

In The Last Decade

Carmeliza Navasca

21 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmeliza Navasca United States 9 238 126 73 48 39 22 351
Michael Brazell United States 11 131 0.6× 91 0.7× 236 3.2× 35 0.7× 15 0.4× 30 443
Jonas Ballani Germany 8 226 0.9× 135 1.1× 97 1.3× 123 2.6× 7 0.2× 12 343
Ignat Domanov Belgium 10 309 1.3× 82 0.7× 125 1.7× 37 0.8× 171 4.4× 26 394
Minru Bai China 14 221 0.9× 176 1.4× 243 3.3× 14 0.3× 38 1.0× 32 485
Guang-Xin Huang China 10 43 0.2× 239 1.9× 73 1.0× 13 0.3× 18 0.5× 35 413
Ratikanta Behera India 9 34 0.1× 55 0.4× 35 0.5× 37 0.8× 59 1.5× 40 369
Longxi Chen China 5 177 0.7× 23 0.2× 148 2.0× 8 0.2× 51 1.3× 7 281
Qiuwei Li United States 11 34 0.1× 48 0.4× 288 3.9× 10 0.2× 84 2.2× 47 461
Rémy Boyer France 10 119 0.5× 20 0.2× 57 0.8× 17 0.4× 77 2.0× 22 415
Zhenyun Peng China 13 35 0.1× 389 3.1× 37 0.5× 44 0.9× 6 0.2× 41 521

Countries citing papers authored by Carmeliza Navasca

Since Specialization
Citations

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

Fields of papers citing papers by Carmeliza Navasca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmeliza Navasca

This figure shows the co-authorship network connecting the top 25 collaborators of Carmeliza Navasca. A scholar is included among the top collaborators of Carmeliza Navasca 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 Carmeliza Navasca. Carmeliza Navasca 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.
He, Zhuo‐Heng, Carmeliza Navasca, & Xiangxiang Wang. (2022). Decomposition for a Quaternion Tensor Triplet with Applications. Advances in Applied Clifford Algebras. 32(1). 14 indexed citations
2.
Navasca, Carmeliza, et al.. (2022). Low-CP-Rank Tensor Completion via Practical Regularization. Journal of Scientific Computing. 91(1). 4 indexed citations
3.
4.
Wang, Xiaofei, Carmeliza Navasca, & Stefan Kindermann. (2018). On accelerating the regularized alternating least-squares algorithm for tensors. ETNA - Electronic Transactions on Numerical Analysis. 48. 1–14. 4 indexed citations
5.
Wang, Xiaofei & Carmeliza Navasca. (2015). Adaptive Low Rank Approximation for Tensors. 939–945. 7 indexed citations
6.
Navasca, Carmeliza, et al.. (2014). Tensor restricted isometry property for multilinear sparse system of genomic interactions. 2014 48th Asilomar Conference on Signals, Systems and Computers. 741–744. 2 indexed citations
7.
Kindermann, Stefan & Carmeliza Navasca. (2013). News Algorithms for tensor decomposition based on a reduced functional. Numerical Linear Algebra with Applications. 21(3). 340–374. 3 indexed citations
8.
Brazell, Michael, Na Li, Carmeliza Navasca, & Christino Tamon. (2013). Solving Multilinear Systems via Tensor Inversion. SIAM Journal on Matrix Analysis and Applications. 34(2). 542–570. 146 indexed citations
9.
Hopke, Philip K., et al.. (2013). Source apportionment of time- and size-resolved ambient particulate matter. Chemometrics and Intelligent Laboratory Systems. 129. 15–20. 17 indexed citations
10.
Tran, Lam, Carmeliza Navasca, & Jiebo Luo. (2012). Video detection anomaly via low-rank and sparse decompositions. 17–20. 9 indexed citations
11.
Navasca, Carmeliza, et al.. (2012). Randomized tensor-based algorithm for image classification. 1984–1988. 1 indexed citations
12.
Li, Na, Stefan Kindermann, & Carmeliza Navasca. (2011). Some convergence results on the Regularized Alternating Least-Squares method for tensor decomposition. Linear Algebra and its Applications. 438(2). 796–812. 51 indexed citations
13.
Navasca, Carmeliza, et al.. (2009). Low Multilinear Rank Tensor Approximation Via Semidefinite Programming. INFM-OAR (INFN Catania). 520–524. 5 indexed citations
14.
Navasca, Carmeliza, et al.. (2009). Recovering tensor data from incomplete measurement via compressive sampling. 16. 1310–1314.
15.
Navasca, Carmeliza, Lieven De Lathauwer, & Stefan Kindermann. (2008). Swamp reducing technique for tensor decomposition. European Signal Processing Conference. 1–5. 40 indexed citations
16.
Morris, Kirsten & Carmeliza Navasca. (2008). Approximation of low rank solutions for linear quadratic control of partial differential equations. Computational Optimization and Applications. 46(1). 93–111. 9 indexed citations
17.
Morris, Kirsten & Carmeliza Navasca. (2006). Iterative Solution of Algebraic Riccati Equations for Damped Systems. 36. 2436–2440. 8 indexed citations
18.
Kindermann, Stefan & Carmeliza Navasca. (2006). Optimal control as a regularization method for ill-posed problems. Journal of Inverse and Ill-Posed Problems. 14(7). 685–703. 2 indexed citations
19.
Navasca, Carmeliza, et al.. (2005). The Lax–Friedrichs sweeping method for optimal control problems in continuous and hybrid dynamics. Nonlinear Analysis. 63(5-7). e1561–e1572. 1 indexed citations
20.
Navasca, Carmeliza & Arthur J. Krener. (2002). Solution of Hamilton Jacobi Bellman equations. 1. 570–574. 16 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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