Peter Kischka

432 citations
22 papers · 253 · h-index 9

Impact in

Papers in

Peter Kischka

18 papers receiving 237 citations

Peers

Peter Kischka
Comparison fields: 5 of 54
  • Management Information Systems 162
  • Strategy and Management 99
  • Management Science and Operations Research 79
  • General Decision Sciences 11
  • Marketing 31
Replace Michelle M.H. Şeref with:
Michelle M.H. Şeref United States
Teresa M. McCarthy United States
Sarah Yini Gao Singapore
William Schmidt United States
Işık Biçer Switzerland
Carsten Homburg Germany
Sumathi Kumaraswamy Bahrain
Larry Lapide
Michael Becker‐Peth Germany
Shitao Yang United States
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Citations per year

Countries citing papers authored by Peter Kischka

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kischka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Peter Kischka, 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 Peter Kischka Line = papers co-authored together Peter Kischka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200760
2 200834
3 201232
4 199824
5 200419
6 201119
7 201716
8 202110
9 19929
10 20248
11 19885
12
A Decision Rule Based on the Conditional Value at Risk
20053
13 19943
14 20013
15
Models, methods and decision support for management : essays in honor of Paul Stähly
20012
16 19872
17 20011
18 19851
19 19911
20 19911

About Peter Kischka

Peter Kischka is a scholar working on Management Information Systems, Strategy and Management, Management Science and Operations Research, Economics and Econometrics and Finance, having authored 22 papers that have together received 253 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (9 papers), Sustainable Supply Chain Management (5 papers), Risk and Portfolio Optimization (4 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Insurance and Financial Risk Management (3 papers), Decision-Making and Behavioral Economics (2 papers), Forecasting Techniques and Applications (2 papers) and Consumer Market Behavior and Pricing (2 papers). The work is most often cited by research in Management Information Systems (162 citations), Strategy and Management (99 citations), Management Science and Operations Research (79 citations), General Decision Sciences (11 citations) and Marketing (31 citations). Peter Kischka has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Werner Jammernegg, Lena Silbermayr, Clemens Puppe, Rolf H. Möhring, Wolfgang Domschke, Ulrich Derigs, Hans‐Walter Lorenz, Peter Kleinschmidt and Ulrike Leopold‐Wildburger. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics, Insurance Mathematics and Economics, Omega and Mathematical Methods of Operations Research.

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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