Martin Branda
- Management Science and Operations Research top 2%
- Economics and Econometrics top 10%
- Finance top 5%
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Lukáš AdamMiloš KopaJitka DupačováAlexandra SchwartzHolger HeitschRené HenrionJan Novotný
- Topics
- Risk and Portfolio Optimization (23 papers)Efficiency Analysis Using DEA (9 papers)Optimization and Mathematical Programming (7 papers)
In The Last Decade
Martin Branda
28 papers receiving 349 citations
Peers
Comparison fields: 5 of 56
- Management Science and Operations Research 262
- Economics and Econometrics 99
- Finance 96
- Control and Systems Engineering 80
- Computational Theory and Mathematics 40
Countries citing papers authored by Martin Branda
This map shows the geographic impact of Martin Branda'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 Martin Branda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Branda more than expected).
Fields of papers citing papers by Martin Branda
This network shows the impact of papers produced by Martin Branda. 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 Martin Branda. The network helps show where Martin Branda may publish in the future.
Co-authorship network of co-authors of Martin Branda
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Branda. A scholar is included among the top collaborators of Martin Branda 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 Martin Branda. Martin Branda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 21 | |
| 5 | 23 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 11 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | DEA-Risk Efficiency and Stochastic Dominance Efficiency of Stock Indices | 11 |
| 14 | CHANCE CONSTRAINED PROBLEMS: PENALTY REFORMULATION AND PERFORMANCE OF SAMPLE APPROXIMATION TECHNIQUE | 9 |
| 15 | 25 | |
| 16 | 1 | |
| 17 | Local stability and differentiability of the Mean–Conditional Value at Risk model defined on the mixed–integer loss functions | 1 |
| 18 | 21 | |
| 19 | Solving real-life portfolio problem using stochastic programming and Monte-Carlo techniques | 5 |
| 20 | Nonconvex stochastic programming problems-formulations, sample approximations and stability | 1 |
About Martin Branda
Martin Branda is a scholar working on Management Science and Operations Research, Finance and Statistics and Probability, having authored 28 papers that have together received 367 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (23 papers), Efficiency Analysis Using DEA (9 papers) and Optimization and Mathematical Programming (7 papers). The work is most often cited by research in Management Science and Operations Research (262 citations), Finance (96 citations) and General Economics, Econometrics and Finance (38 citations). Martin Branda has collaborated with scholars based in Czechia, Germany and China. Frequent co-authors include Lukáš Adam, Miloš Kopa, Jitka Dupačová, Alexandra Schwartz, Holger Heitsch, René Henrion and Jan Novotný. Their work appears in journals such as European Journal of Operational Research, Computers & Operations Research and Omega.
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.