Manfred Schäl

1.1k citations
30 papers · 667 · h-index 15

Impact in

Papers in

    • Economic theories and models 17
    • Stochastic processes and financial applications 14
    • Financial Markets and Investment Strategies 3

Manfred Schäl

30 papers receiving 590 citations

Peers

Manfred Schäl
Comparison fields: 5 of 53
  • Finance 269
  • Management Science and Operations Research 247
  • Management Information Systems 145
  • Statistics and Probability 78
  • General Decision Sciences 17
Replace Ulrich Rieder with:
Ulrich Rieder Germany
Daniel Hernández–Hernández Mexico
Rolando Cavazos–Cadena Mexico
Karl Hinderer Germany
Michael Orkin United States
J. Michael Harrison Hong Kong
Jun‐ya Gotoh Japan
Y. S. Chow Singapore
Sid Browne United States
X.Y. Zhou Hong Kong
Manfred Schäl relative to Ulrich Rieder Germany Ulrich Rieder's profile →
Citations per field
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Ulrich Rieder · 1×
Citations per year

Countries citing papers authored by Manfred Schäl

Since Specialization
Citations

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

Fields of papers citing papers by Manfred Schäl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Manfred Schäl, 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 Manfred Schäl Line = papers co-authored together Manfred Schäl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993129
2 1994106
3 197585
4 198742
5 197638
6 199226
7 197025
8 197924
9 199922
10 200422
11 199819
12 197117
13 198315
14 200415
15 200014
16 200511
17 199310
18 20038
19 19998
20 19718

About Manfred Schäl

Manfred Schäl is a scholar working on Economics and Econometrics, Finance, Management Science and Operations Research, Demography and Artificial Intelligence, having authored 30 papers that have together received 667 indexed citations. Recurring topics across this work include Economic theories and models (17 papers), Stochastic processes and financial applications (14 papers), Probability and Risk Models (6 papers), Insurance, Mortality, Demography, Risk Management (6 papers), Financial Markets and Investment Strategies (3 papers), Risk and Portfolio Optimization (2 papers), Advanced Queuing Theory Analysis (2 papers) and Advanced Bandit Algorithms Research (2 papers). The work is most often cited by research in Finance (269 citations), Management Science and Operations Research (247 citations), Management Information Systems (145 citations), Statistics and Probability (78 citations) and General Decision Sciences (17 citations). Manfred Schäl has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ralf Korn, William D. Sudderth and Jörn Saß. Their work appears in journals such as Mathematics of Operations Research, Advances in Applied Probability, Mathematical Methods of Operations Research, Stochastic Processes and their Applications and Decisions in Economics and Finance.

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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