P. Tseng

15 papers receiving 2.2k citations

P. Tseng's Hit Papers

Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization 2001 · 1.3k citations
1.3k0+8+16Years since publication4008001.2k

Peers

P. Tseng
Comparison fields: 5 of 119
  • Computational Mathematics 56
  • Numerical Analysis 342
  • Computational Mechanics 714
  • Statistics and Probability 248
  • Computer Vision and Pattern Recognition 579
Replace Zhaosong Lu with:
Zhaosong Lu Canada
Sangwoon Yun South Korea
Meisam Razaviyayn United States
Zhi-Quan Luo United States
Ming‐Jun Lai United States
Stephen A. Vavasis United States
Daniel Gabay France
L.M. Bregman United States
B. K. Natarajan United States
Shiqian Ma United States
P. Tseng relative to Zhaosong Lu Canada Zhaosong Lu's profile →
Citations per field
00.5×1.6×
Zhaosong Lu · 1×
Citations per year

Countries citing papers authored by P. Tseng

Since Specialization
Citations

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

Fields of papers citing papers by P. Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside P. Tseng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Tseng Line = papers co-authored together P. Tseng links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization
Hit paper breakdown →
20011317
2 1992352
3 2001174
4 2000129
5 1996102
6 200877
7 199041
8 200324
9 199217
10 199113
11 200611
12 200211
13 19919
14 19952
15 20231

About P. Tseng

P. Tseng is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 15 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (9 papers), Sparse and Compressive Sensing Techniques (7 papers), Optimization and Variational Analysis (5 papers), Matrix Theory and Algorithms (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Computational Geometry and Mesh Generation (1 paper), Numerical methods in engineering (1 paper) and Dental Trauma and Treatments (1 paper). The work is most often cited by research in Computational Mathematics (56 citations), Numerical Analysis (342 citations), Computational Mechanics (714 citations), Statistics and Probability (248 citations) and Computer Vision and Pattern Recognition (579 citations). P. Tseng has collaborated with scholars based in United States, Italy and Singapore. Frequent co-authors include Z.-Q. Luo, Sylvain Sardy, A. Gregory Bruce, Sangwoon Yun, John N. Tsitsiklis, Dimitri P. Bertsekas, F. Tin‐Loi, Francesca Guerriero, Asuman Ozdaglar and Dalia Kaisarly. Their work appears in journals such as Journal of Optimization Theory and Applications, Dental Materials, Computer Methods in Applied Mechanics and Engineering, IEEE Transactions on Signal Processing and SIAM Journal on Control and Optimization.

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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