Victor Y. Pan

9.4k total citations
261 papers, 5.3k citations indexed

About

Victor Y. Pan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis. According to data from OpenAlex, Victor Y. Pan has authored 261 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 207 papers in Computational Theory and Mathematics, 51 papers in Artificial Intelligence and 40 papers in Numerical Analysis. Recurrent topics in Victor Y. Pan's work include Matrix Theory and Algorithms (115 papers), Polynomial and algebraic computation (96 papers) and Numerical Methods and Algorithms (63 papers). Victor Y. Pan is often cited by papers focused on Matrix Theory and Algorithms (115 papers), Polynomial and algebraic computation (96 papers) and Numerical Methods and Algorithms (63 papers). Victor Y. Pan collaborates with scholars based in United States, France and Italy. Victor Y. Pan's co-authors include Dario A. Bini, John H. Reif, Yonggang Ke, Pengfei Wang, Xiaohan Huang, Bernard Mourrain, Robert Schreiber, Palash Dutta, Travis A. Meyer and Ioannis Z. Emiris and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Victor Y. Pan

251 papers receiving 4.8k citations

Peers

Victor Y. Pan
Comparison fields: 5 of 140
  • Computational Theory and Mathematics 3.3k
  • Artificial Intelligence 1.0k
  • Numerical Analysis 695
  • Molecular Biology 685
  • Computational Mechanics 632
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Citations per field, relative to Victor Y. Pan
Victor Y. Pan · 1×
Citations per year, relative to Victor Y. Pan
Victor Y. Pan · 1×

Countries citing papers authored by Victor Y. Pan

Since Specialization
Citations

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

Fields of papers citing papers by Victor Y. Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor Y. Pan. 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 Victor Y. Pan. The network helps show where Victor Y. Pan may publish in the future.

Co-authorship network of co-authors of Victor Y. Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Y. Pan. A scholar is included among the top collaborators of Victor Y. Pan 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 Victor Y. Pan. Victor Y. Pan 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
# Work Indexed citations
1 34
2 15
3
New Acceleration of Nearly Optimal Univariate Polynomial Root-findERS
1
4
Randomized Circulant and f-circulant Preprocessing
1
5
Randomized Augmentation and Additive Preprocessing
1
6
Numerical methods for roots of polynomials
78
7 3
8 10
9
Special Issue on Algebraic and Numerical Algorithms
1
10
Preface: Algebraic and Numerical Algorithms.
2
11
Improved initialization of the accelerated and robust QR-like polynomial root-finding.
22
12 92
13
Certified computation of the sign of a matrix determinant
4
14 11
15 1
16
Polynomial and matrix computations (vol. 1): fundamental algorithms
89
17 15
18
On parallel complexity of integer linear programming, GCD and the iterated mod function
3
19 20
20 5

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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