Daniel P. Robinson
- Numerical Analysis top 1%
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Renè VidalChong YouFrank E. CurtisNicholas I. M. GouldPhilip E. GillChun-Guang LiVyacheslav KungurtsevHao Jiang
- Topics
- Advanced Optimization Algorithms Research (38 papers)Sparse and Compressive Sensing Techniques (28 papers)Stochastic Gradient Optimization Techniques (14 papers)
- Journals
- IEEE Transactions on Automatic ControlJournal of Medicinal ChemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Daniel P. Robinson
65 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Numerical Analysis 487
- Computational Mechanics 472
- Computer Vision and Pattern Recognition 430
- Artificial Intelligence 393
- Computational Theory and Mathematics 380
Countries citing papers authored by Daniel P. Robinson
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
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-authorship network of co-authors of Daniel P. Robinson
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Robinson. A scholar is included among the top collaborators of Daniel P. Robinson 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 Daniel P. Robinson. Daniel P. Robinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms | 3 |
| 6 | 13 | |
| 7 | A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning | 6 |
| 8 | Noisy Dual Principal Component Pursuit | 7 |
| 9 | 18 | |
| 10 | 7 | |
| 11 | Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data | 15 |
| 12 | Relax, and Accelerate: A Continuous Perspective on ADMM | 1 |
| 13 | Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms | 10 |
| 14 | 11 | |
| 15 | 11 | |
| 16 | Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuitbreakdown → | 243 |
| 17 | Sparse Subspace Clustering with Missing Entries | 41 |
| 18 | 25 | |
| 19 | 41 | |
| 20 | Madness, Badness, and Fitness: Law and Psychiatry (Again) | 2 |
About Daniel P. Robinson
Daniel P. Robinson is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (38 papers), Sparse and Compressive Sensing Techniques (28 papers) and Stochastic Gradient Optimization Techniques (14 papers). The work is most often cited by research in Numerical Analysis (487 citations), Computational Mathematics (17 citations) and Computational Theory and Mathematics (380 citations). Daniel P. Robinson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Renè Vidal, Chong You, Frank E. Curtis, Nicholas I. M. Gould, Philip E. Gill, Chun-Guang Li, Vyacheslav Kungurtsev, Hao Jiang, Zheng Han and Albert S. Berahas. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.
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.