K. PEARSON

2.1k total citations · 1 hit paper
13 papers, 851 citations indexed

About

K. PEARSON is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, K. PEARSON has authored 13 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mathematics, 7 papers in Computational Theory and Mathematics and 3 papers in Numerical Analysis. Recurrent topics in K. PEARSON's work include Tensor decomposition and applications (12 papers), Matrix Theory and Algorithms (7 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). K. PEARSON is often cited by papers focused on Tensor decomposition and applications (12 papers), Matrix Theory and Algorithms (7 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). K. PEARSON collaborates with scholars based in United States and China. K. PEARSON's co-authors include Kai‐Wei Chang, Tan Zhang, Kung-Ching Chang and April W. Armstrong and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Linear Algebra and its Applications and SIAM Journal on Matrix Analysis and Applications.

In The Last Decade

K. PEARSON

13 papers receiving 812 citations

Hit Papers

Perron-Frobenius theorem for nonnegative tensors 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. PEARSON United States 8 799 573 140 116 79 13 851
Nick Vannieuwenhoven Belgium 10 303 0.4× 133 0.2× 30 0.2× 56 0.5× 41 0.5× 30 381
Lu‐Bin Cui China 10 207 0.3× 157 0.3× 62 0.4× 14 0.1× 19 0.2× 24 276
Jan Draisma Netherlands 12 82 0.1× 231 0.4× 28 0.2× 5 0.0× 40 0.5× 59 508
Jackson R. Mayo United States 8 176 0.2× 119 0.2× 42 0.3× 15 0.1× 26 0.3× 21 305
Michael Steinlechner Switzerland 5 242 0.3× 83 0.1× 26 0.2× 58 0.5× 55 0.7× 5 312
Shuzi Zhou China 12 12 0.0× 211 0.4× 253 1.8× 4 0.0× 41 0.5× 34 431
Khalide Jbilou France 9 63 0.1× 185 0.3× 94 0.7× 3 0.0× 91 1.2× 26 290
Alex N. Beavers United States 7 15 0.0× 163 0.3× 91 0.7× 3 0.0× 71 0.9× 10 303

Countries citing papers authored by K. PEARSON

Since Specialization
Citations

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

Fields of papers citing papers by K. PEARSON

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. PEARSON

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

All Works

13 of 13 papers shown
1.
PEARSON, K., et al.. (2018). Perron–Frobenius theorem for hypermatrices in the max algebra. Discrete Mathematics. 342(1). 64–73. 3 indexed citations
2.
PEARSON, K., et al.. (2016). On the uniqueness of the -eigenvector of transition probability tensors. Linear and Multilinear Algebra. 65(5). 891–896. 8 indexed citations
3.
PEARSON, K. & Tan Zhang. (2015). The Laplacian tensor of a multi-hypergraph. Discrete Mathematics. 338(6). 972–982. 11 indexed citations
4.
PEARSON, K.. (2014). Spectral hypergraph theory of the adjacency hypermatrix and matroids. Linear Algebra and its Applications. 465. 176–187. 5 indexed citations
5.
Chang, Kai‐Wei, K. PEARSON, & Tan Zhang. (2013). Some variational principles for Z -eigenvalues of nonnegative tensors. Linear Algebra and its Applications. 438(11). 4166–4182. 84 indexed citations
6.
PEARSON, K. & Tan Zhang. (2013). On Spectral Hypergraph Theory of the Adjacency Tensor. Graphs and Combinatorics. 30(5). 1233–1248. 101 indexed citations
7.
PEARSON, K. & Tan Zhang. (2013). Eigenvalues of the adjacency tensor on products of hypergraphs. International Journal of Contemporary Mathematical Sciences. 8. 151–158. 4 indexed citations
8.
Armstrong, April W. & K. PEARSON. (2012). Psoriasis and cardiovascular disease: epidemiology, mechanisms, and clinical implications. 1–1. 3 indexed citations
9.
Chang, Kai‐Wei, K. PEARSON, & Tan Zhang. (2012). Errata to “Perron–Frobenius theorem for nonnegative tensors”, printed in Comm. Math. Sci., 6(2), 507–520, 2008.. Communications in Mathematical Sciences. 10(3). 1025–1025. 3 indexed citations
10.
Chang, Kung-Ching, K. PEARSON, & Tan Zhang. (2011). Primitivity, the Convergence of the NQZ Method, and the Largest Eigenvalue for Nonnegative Tensors. SIAM Journal on Matrix Analysis and Applications. 32(3). 806–819. 95 indexed citations
11.
PEARSON, K.. (2010). Essentially Positive Tensors. 55 indexed citations
12.
Chang, Kai‐Wei, K. PEARSON, & Tan Zhang. (2008). On eigenvalue problems of real symmetric tensors. Journal of Mathematical Analysis and Applications. 350(1). 416–422. 125 indexed citations
13.
Chang, Kai‐Wei, et al.. (2008). Perron-Frobenius theorem for nonnegative tensors. Communications in Mathematical Sciences. 6(2). 507–520. 354 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026