Stefan Schmieta
- Numerical Analysis top 2%
- Computational Theory and Mathematics top 2%
- Control and Systems Engineering
- Computational Mechanics
- Algebra and Number Theory
- Co-authors
- Farid AlizadehEgon BalasChristopher S. WallaceJean-Pierre A. HaeberlyMichael L. OvertonRobert A. StubbsSebastián Ceria
- Topics
- Advanced Optimization Algorithms Research (5 papers)Polynomial and algebraic computation (3 papers)Aging, Elder Care, and Social Issues (2 papers)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Stefan Schmieta
7 papers receiving 349 citations
Peers
Comparison fields: 5 of 39
- Numerical Analysis 315
- Computational Theory and Mathematics 313
- Control and Systems Engineering 53
- Computational Mechanics 52
- Algebra and Number Theory 34
Countries citing papers authored by Stefan Schmieta
This map shows the geographic impact of Stefan Schmieta'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 Stefan Schmieta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Schmieta more than expected).
Fields of papers citing papers by Stefan Schmieta
This network shows the impact of papers produced by Stefan Schmieta. 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 Stefan Schmieta. The network helps show where Stefan Schmieta may publish in the future.
Co-authorship network of co-authors of Stefan Schmieta
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Schmieta. A scholar is included among the top collaborators of Stefan Schmieta 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 Stefan Schmieta. Stefan Schmieta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Axioma's Alpha Factor Method: Improving Risk Estimation By Reducing Risk Model Portfolio Selection Bias | 3 |
| 2 | 31 | |
| 3 | 234 | |
| 4 | 88 | |
| 5 | Application of jordan algebras to the design and analysis of interior-point algorithms for linear, quadratically constrained quadratic, and semidefinite programming | 3 |
| 6 | Associative Algebras, Symmetric Cones and Polynomial Time Interior Point Algorithms | 2 |
| 7 | Optimization with Semidefinite, Quadratic and Linear Constraints | 8 |
| 8 | SDPPACK User''s Guide -- Version 0.9 Beta for Matlab 5.0. | 6 |
About Stefan Schmieta
Stefan Schmieta is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Algebra and Number Theory, having authored 8 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (5 papers), Polynomial and algebraic computation (3 papers) and Aging, Elder Care, and Social Issues (2 papers). The work is most often cited by research in Numerical Analysis (315 citations), Computational Theory and Mathematics (313 citations) and Computational Mathematics (5 citations). Stefan Schmieta has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Farid Alizadeh, Egon Balas, Christopher S. Wallace, Jean-Pierre A. Haeberly, Michael L. Overton, Robert A. Stubbs and Sebastián Ceria. Their work appears in journals such as Mathematical Programming, Mathematics of Operations Research and Discrete Optimization.
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.