Daniel P. Robinson

65 papers receiving 1.2k citations

Daniel P. Robinson's Hit Papers

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit 2016 · 245 citations
2450+3+6Years since publication50100150200

Peers

Daniel P. Robinson
Comparison fields: 5 of 102
  • Numerical Analysis 492
  • Computational Mathematics 19
  • Computational Theory and Mathematics 382
  • Computational Mechanics 475
  • Computer Vision and Pattern Recognition 434
Replace François Glineur with:
François Glineur Belgium
Ting Kei Pong Hong Kong
Zhi-Quan Luo United States
Brendan O’Donoghue United States
Deren Han China
Jesse L. Barlow United States
Jiming Peng United States
Houduo Qi United Kingdom
Luca Zanni Italy
Anshul Gupta United States
Daniel P. Robinson relative to François Glineur Belgium François Glineur's profile →
Citations per field
00.5×2.7×
François Glineur · 1×
Citations per year

Countries citing papers authored by Daniel P. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel P. Robinson, 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 Daniel P. Robinson Line = papers co-authored together Daniel P. Robinson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
Hit paper breakdown →
2016245
2 2016156
3 201694
4 201063
5 201054
6 201342
7 200241
8
Sparse Subspace Clustering with Missing Entries
201541
9 201438
10 201037
11 201636
12 201430
13 201629
14 202126
15 201025
16 202321
17 201919
18 201619
19 201418
20 202317

About Daniel P. Robinson

Daniel P. Robinson is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (38 papers), Sparse and Compressive Sensing Techniques (28 papers), Stochastic Gradient Optimization Techniques (14 papers), Optimization and Variational Analysis (13 papers), Matrix Theory and Algorithms (12 papers), Face and Expression Recognition (9 papers), Advanced Control Systems Optimization (6 papers) and Iterative Methods for Nonlinear Equations (4 papers). The work is most often cited by research in Numerical Analysis (492 citations), Computational Mathematics (19 citations), Computational Theory and Mathematics (382 citations), Computational Mechanics (475 citations) and Computer Vision and Pattern Recognition (434 citations). Daniel P. Robinson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include René Vidal, Chong You, Frank E. Curtis, Philip E. Gill, Nicholas I. M. Gould, Chun-Guang Li, Vyacheslav Kungurtsev, Hao Jiang, Zheng Han and Albert S. Berahas. Their work appears in journals such as SIAM Journal on Optimization, Computational Optimization and Applications, Mathematical Programming, IMA Journal of Numerical Analysis and Optimization methods & software.

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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