Oliver Hinder

498 total citations
9 papers, 132 citations indexed

About

Oliver Hinder is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Oliver Hinder has authored 9 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Numerical Analysis, 6 papers in Computational Theory and Mathematics and 5 papers in Computational Mechanics. Recurrent topics in Oliver Hinder's work include Advanced Optimization Algorithms Research (7 papers), Sparse and Compressive Sensing Techniques (4 papers) and Optimization and Variational Analysis (3 papers). Oliver Hinder is often cited by papers focused on Advanced Optimization Algorithms Research (7 papers), Sparse and Compressive Sensing Techniques (4 papers) and Optimization and Variational Analysis (3 papers). Oliver Hinder collaborates with scholars based in United States, United Kingdom and New Zealand. Oliver Hinder's co-authors include Aaron Sidford, John C. Duchi, Yair Carmon, Andrew Mason, Yinyu Ye, Gabriel Haeser, Haihao Lu, Miles Lubin, David Applegate and Srinadh Bhojanapalli and has published in prestigious journals such as European Journal of Operational Research, Operations Research and Mathematical Programming.

In The Last Decade

Oliver Hinder

5 papers receiving 117 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Hinder United States	4	67	64	43	37	17	9	132
Duy Nhat Phan France	8	71 1.1×	46 0.7×	29 0.7×	14 0.4×	4 0.2×	17	122
Michel Baes Switzerland	7	62 0.9×	43 0.7×	94 2.2×	99 2.7×	9 0.5×	20	222
Yancheng Yuan Hong Kong	5	24 0.4×	59 0.9×	29 0.7×	17 0.5×	3 0.2×	20	131
Yoel Drori Israel	5	127 1.9×	77 1.2×	93 2.2×	68 1.8×	2 0.1×	7	197
Pavel Dvurechensky Russia	9	127 1.9×	113 1.8×	65 1.5×	55 1.5×	2 0.1×	38	192
Farbod Roosta-Khorasani United States	3	48 0.7×	69 1.1×	22 0.5×	15 0.4×	5 0.3×	6	113
Damien Scieur France	5	26 0.4×	34 0.5×	29 0.7×	23 0.6×	3 0.2×	11	179
Quoc Tran-Dinh United States	10	129 1.9×	100 1.6×	115 2.7×	56 1.5×	2 0.1×	23	231
Dan Garber Israel	7	75 1.1×	86 1.3×	37 0.9×	28 0.8×		22	142
Pablo Pérez-Lantero Chile	8	20 0.3×	10 0.2×	12 0.3×	44 1.2×	21 1.2×	34	147

Countries citing papers authored by Oliver Hinder

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Hinder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Hinder

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

All Works

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9 of 9 papers shown

1.

Hinder, Oliver. (2024). Worst-case analysis of restarted primal-dual hybrid gradient on totally unimodular linear programs. Operations Research Letters. 57. 107199–107199.

2.

Hinder, Oliver, et al.. (2024). Optimal Diagonal Preconditioning. Operations Research. 73(3). 1479–1495.

3.

Hinder, Oliver & Yinyu Ye. (2023). Worst-Case Iteration Bounds for Log Barrier Methods on Problems with Nonconvex Constraints. Mathematics of Operations Research. 49(4). 2402–2424. 1 indexed citations

4.

Applegate, David, Oliver Hinder, Haihao Lu, & Miles Lubin. (2022). Faster first-order primal-dual methods for linear programming using restarts and sharpness. Mathematical Programming. 201(1-2). 133–184. 15 indexed citations

5.

Duchi, John C., et al.. (2020). Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices. Neural Information Processing Systems. 33. 8308–8317.

6.

Bunel, Rudy, Oliver Hinder, Srinadh Bhojanapalli, & Krishnamurthy Dvijotham. (2020). An efficient nonconvex reformulation of stagewise convex optimization problems. Neural Information Processing Systems. 33. 8247–8258. 1 indexed citations

7.

Haeser, Gabriel, Oliver Hinder, & Yinyu Ye. (2019). On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods. Mathematical Programming. 186(1-2). 257–288. 13 indexed citations

8.

Carmon, Yair, John C. Duchi, Oliver Hinder, & Aaron Sidford. (2018). Accelerated Methods for NonConvex Optimization. SIAM Journal on Optimization. 28(2). 1751–1772. 86 indexed citations

9.

Hinder, Oliver & Andrew Mason. (2017). A novel integer programing formulation for scheduling with family setup times on a single machine to minimize maximum lateness. European Journal of Operational Research. 262(2). 411–423. 16 indexed citations

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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