Martin Branda

509 citations
28 papers · 374 · h-index 13

Impact in

Papers in

Martin Branda

28 papers receiving 359 citations

Peers

Martin Branda
Comparison fields: 5 of 56
  • Management Science and Operations Research 266
  • Finance 96
  • General Economics, Econometrics and Finance 40
  • Numerical Analysis 24
  • Industrial and Manufacturing Engineering 41
Replace Csaba I. Fábián with:
Csaba I. Fábián Hungary
Marida Bertocchi Italy
Helmut Mausser United States
Annista Wijayanayake Sri Lanka
Pankaj Kumar India
János Mayer Switzerland
Ralf Werner Germany
Robert A. Stubbs United States
Norbert Jobst United Kingdom
Birgit Rudloff United States
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Citations per field
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Csaba I. Fábián · 1×
Citations per year

Countries citing papers authored by Martin Branda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 7 scholars most cited alongside Martin Branda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin Branda Line = papers co-authored together Martin Branda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201244
2 201443
3 201225
4 201624
5 201323
6 201822
7 201022
8 201818
9 201616
10 201315
11 201115
12 201613
13 201512
14 201311
15
DEA-Risk Efficiency and Stochastic Dominance Efficiency of Stock Indices
201210
16 201510
17
CHANCE CONSTRAINED PROBLEMS: PENALTY REFORMULATION AND PERFORMANCE OF SAMPLE APPROXIMATION TECHNIQUE
20129
18 20147
19 20187
20 20206

About Martin Branda

Martin Branda is a scholar working on Management Science and Operations Research, Finance, Control and Systems Engineering, Economics and Econometrics and Statistics and Probability, having authored 28 papers that have together received 374 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (23 papers), Efficiency Analysis Using DEA (9 papers), Optimization and Mathematical Programming (7 papers), Capital Investment and Risk Analysis (6 papers), Stochastic processes and financial applications (4 papers), Economic theories and models (4 papers), Fuzzy Systems and Optimization (3 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Management Science and Operations Research (266 citations), Finance (96 citations), General Economics, Econometrics and Finance (40 citations), Numerical Analysis (24 citations) and Industrial and Manufacturing Engineering (41 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, René Henrion, Holger Heitsch and Jan Novotný. Their work appears in journals such as Operations Research Letters, Kybernetika, Annals of Operations 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.

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