Markus Herrich
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
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- Optimization and Variational Analysis
- Matrix Theory and Algorithms
Papers in
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- Advanced Optimization Algorithms Research 9
- Iterative Methods for Nonlinear Equations 6
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- Optimization and Variational Analysis 7
- Matrix Theory and Algorithms 3
- Co-authors
- Andreas Fischer (8 shared papers)Francisco Facchinei (3 shared papers)M. V. Solodov (3 shared papers)A. F. Izmailov (3 shared papers)Axel Dreves (1 shared paper)Y. Ye (1 shared paper)Alfredo N. Iusem (1 shared paper)
In The Last Decade
Markus Herrich
10 papers receiving 277 citations
Peers
Comparison fields: 5 of 46
- Numerical Analysis 198
- Computational Theory and Mathematics 191
- Modeling and Simulation 17
- Control and Systems Engineering 44
- Management Science and Operations Research 23
Countries citing papers authored by Markus Herrich
This map shows the geographic impact of Markus Herrich'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 Markus Herrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Herrich more than expected).
Fields of papers citing papers by Markus Herrich
This network shows the impact of papers produced by Markus Herrich. 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 Markus Herrich. The network helps show where Markus Herrich may publish in the future.
Co-authors
The 7 scholars most cited alongside Markus Herrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 81 | |
| 2 | 2013 | 78 | |
| 3 | 2012 | 38 | |
| 4 | 2013 | 27 | |
| 5 | 2016 | 24 | |
| 6 | 2013 | 19 | |
| 7 | 2015 | 18 | |
| 8 | 2017 | 5 | |
| 9 | 2022 | 2 | |
| 10 | Local Convergence of Newton-type Methods for Nonsmooth Constrained Equations and Applications | 2014 | 1 |
About Markus Herrich
Markus Herrich is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Control and Systems Engineering, General Economics, Econometrics and Finance and Transportation, having authored 10 papers that have together received 293 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (9 papers), Optimization and Variational Analysis (7 papers), Iterative Methods for Nonlinear Equations (6 papers), Matrix Theory and Algorithms (3 papers), Economic theories and models (1 paper), Aviation Industry Analysis and Trends (1 paper), Transportation Planning and Optimization (1 paper) and Vehicle Routing Optimization Methods (1 paper). The work is most often cited by research in Numerical Analysis (198 citations), Computational Theory and Mathematics (191 citations), Modeling and Simulation (17 citations), Control and Systems Engineering (44 citations) and Management Science and Operations Research (23 citations). Markus Herrich has collaborated with scholars based in Germany, Italy and Brazil. Frequent co-authors include Andreas Fischer, Francisco Facchinei, M. V. Solodov, A. F. Izmailov, Axel Dreves, Y. Ye and Alfredo N. Iusem. Their work appears in journals such as Computational Optimization and Applications, SIAM Journal on Optimization, Mathematical Programming, Mathematical Methods of Operations Research and Pesquisa Operacional.
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.