Tim Hoheisel

857 total citations
29 papers, 546 citations indexed

About

Tim Hoheisel is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Tim Hoheisel has authored 29 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Numerical Analysis, 19 papers in Computational Theory and Mathematics and 9 papers in Computational Mechanics. Recurrent topics in Tim Hoheisel's work include Advanced Optimization Algorithms Research (19 papers), Optimization and Variational Analysis (18 papers) and Sparse and Compressive Sensing Techniques (9 papers). Tim Hoheisel is often cited by papers focused on Advanced Optimization Algorithms Research (19 papers), Optimization and Variational Analysis (18 papers) and Sparse and Compressive Sensing Techniques (9 papers). Tim Hoheisel collaborates with scholars based in Germany, Canada and United States. Tim Hoheisel's co-authors include Christian Kanzow, Alexandra Schwartz, James V. Burke, Wolfgang Achtziger, Jiří V. Outrata, Pierre Maréchal, Rustum Choksi, Boris S. Mordukhovich, Hung M. Phan and Adam M. Oberman and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Mathematical Analysis and Applications and Mathematical Programming.

In The Last Decade

Tim Hoheisel

26 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Hoheisel Germany 13 391 368 214 89 66 29 546
Soon‐Yi Wu Taiwan 18 608 1.6× 458 1.2× 140 0.7× 59 0.7× 183 2.8× 69 847
B. M. Glover Australia 17 628 1.6× 492 1.3× 127 0.6× 39 0.4× 57 0.9× 39 718
Refail Kasımbeyli Türkiye 13 256 0.7× 219 0.6× 60 0.3× 56 0.6× 33 0.5× 40 480
Masakazu Muramatsu Japan 11 409 1.0× 455 1.2× 156 0.7× 27 0.3× 161 2.4× 36 694
Phan Tu Vuong Vietnam 18 870 2.2× 719 2.0× 78 0.4× 178 2.0× 153 2.3× 45 1.0k
Hande Y. Benson United States 13 208 0.5× 221 0.6× 167 0.8× 28 0.3× 45 0.7× 23 511
L. M. Graña Drummond Brazil 10 765 2.0× 667 1.8× 168 0.8× 73 0.8× 147 2.2× 17 924
Tadeusz Antczak Poland 18 1.1k 2.7× 713 1.9× 555 2.6× 91 1.0× 28 0.4× 125 1.2k
Gabriel Haeser Brazil 14 596 1.5× 604 1.6× 139 0.6× 25 0.3× 302 4.6× 53 739
Dingju Zhu China 10 314 0.8× 171 0.5× 117 0.5× 37 0.4× 19 0.3× 21 421

Countries citing papers authored by Tim Hoheisel

Since Specialization
Citations

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

Fields of papers citing papers by Tim Hoheisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Hoheisel

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Hoheisel. A scholar is included among the top collaborators of Tim Hoheisel 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 Tim Hoheisel. Tim Hoheisel 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
1.
2.
Dornheim, Tobias, et al.. (2025). Dual formulation of the maximum entropy method applied to analytic continuation of quantum Monte Carlo data. Journal of Physics A Mathematical and Theoretical. 58(33). 335203–335203. 1 indexed citations
3.
4.
Brugiapaglia, Simone, et al.. (2024). Square Root LASSO: Well-Posedness, Lipschitz Stability, and the Tuning Trade-Off. SIAM Journal on Optimization. 34(3). 2609–2637.
5.
Hoheisel, Tim, et al.. (2023). Uniqueness in Nuclear Norm Minimization: Flatness of the Nuclear Norm Sphere and Simultaneous Polarization. Journal of Optimization Theory and Applications. 197(1). 252–276. 2 indexed citations
6.
Brugiapaglia, Simone, et al.. (2023). LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing. SIAM Journal on Mathematics of Data Science. 5(4). 1102–1129. 3 indexed citations
7.
Choksi, Rustum, et al.. (2019). Blind Deblurring of Barcodes via Kullback-Leibler Divergence. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(1). 77–88. 23 indexed citations
8.
Burke, James V. & Tim Hoheisel. (2015). Matrix Support Functionals for Inverse Problems, Regularization, and Learning. SIAM Journal on Optimization. 25(2). 1135–1159. 4 indexed citations
9.
Burke, James V. & Tim Hoheisel. (2015). A NOTE ON EPI-CONVERGENCE OF SUMS UNDER THE INF-ADDITION RULE. 1 indexed citations
10.
Hoheisel, Tim, et al.. (2014). On a Smooth Dual Gap Function for a Class of Player Convex Generalized Nash Equilibrium Problems. Journal of Optimization Theory and Applications. 166(2). 659–685. 2 indexed citations
11.
Achtziger, Wolfgang, Tim Hoheisel, & Christian Kanzow. (2013). A smoothing-regularization approach to mathematical programs with vanishing constraints. Computational Optimization and Applications. 55(3). 733–767. 25 indexed citations
12.
Achtziger, Wolfgang, Christian Kanzow, & Tim Hoheisel. (2012). On a relaxation method for mathematical programs with vanishing constraints. GAMM-Mitteilungen. 35(2). 110–130. 14 indexed citations
13.
Hoheisel, Tim, Christian Kanzow, & Alexandra Schwartz. (2011). Improved convergence properties of the Lin-Fukushima-Regularization method for mathematical programs with complementarity constraints. Numerical Algebra Control and Optimization. 1(1). 49–60. 7 indexed citations
14.
Hoheisel, Tim, Christian Kanzow, & Alexandra Schwartz. (2011). Mathematical programs with vanishing constraints: a new regularization approach with strong convergence properties. Optimization. 61(6). 619–636. 10 indexed citations
15.
Hoheisel, Tim, Christian Kanzow, Boris S. Mordukhovich, & Hung M. Phan. (2011). Generalized Newton’s method based on graphical derivatives. Nonlinear Analysis. 75(3). 1324–1340. 14 indexed citations
16.
Hoheisel, Tim, Christian Kanzow, & Alexandra Schwartz. (2011). Theoretical and numerical comparison of relaxation methods for mathematical programs with complementarity constraints. Mathematical Programming. 137(1-2). 257–288. 116 indexed citations
17.
Hoheisel, Tim, Christian Kanzow, & Alexandra Schwartz. (2010). Convergence of a local regularization approach for mathematical programmes with complementarity or vanishing constraints. Optimization methods & software. 27(3). 483–512. 28 indexed citations
18.
Hoheisel, Tim, Christian Kanzow, & Jiří V. Outrata. (2009). Exact penalty results for mathematical programs with vanishing constraints. Nonlinear Analysis. 72(5). 2514–2526. 34 indexed citations
19.
Hoheisel, Tim. (2009). Mathematical Programs with Vanishing Constraints. Online Publication Service of Würzburg University (Würzburg University). 23 indexed citations
20.
Hoheisel, Tim & Christian Kanzow. (2007). Stationary conditions for mathematical programs with vanishing constraints using weak constraint qualifications. Journal of Mathematical Analysis and Applications. 337(1). 292–310. 56 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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