Michael Krapp

31 papers receiving 291 citations

Peers

Michael Krapp
Comparison fields: 5 of 70
  • General Decision Sciences 19
  • Management Information Systems 83
  • Strategy and Management 119
  • Industrial and Manufacturing Engineering 48
  • Management Science and Operations Research 46
Replace Karthik Ramachandran with:
Karthik Ramachandran United States
Masha Shunko United States
Ke Ke United States
Günter Bamberg Germany
Xinlei Chen Canada
LK Chu Hong Kong
Jane Davies United Kingdom
Jordan D. Tong United States
Pascale Crama Singapore
Ruth Murray-Webster United Kingdom
Michael Krapp relative to Karthik Ramachandran United States Karthik Ramachandran's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Krapp

Since Specialization
Citations

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

Fields of papers citing papers by Michael Krapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Michael Krapp, 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 Michael Krapp Line = papers co-authored together Michael Krapp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202157
2 201254
3 201349
4 200621
5 201918
6 200714
7 201712
8 201311
9
Zur Bewertung risikobehafteter Zahlungsströme mit intertemporaler Abhängigkeitsstruktur
200411
10 20229
11 20127
12 20117
13 20176
14 20005
15 20145
16 20153
17 20003
18 20042
19 20112
20 20242

About Michael Krapp

Michael Krapp is a scholar working on Management Science and Operations Research, Finance, Strategy and Management, Economics and Econometrics and Accounting, having authored 35 papers that have together received 311 indexed citations. Recurring topics across this work include Auction Theory and Applications (6 papers), Economic theories and models (4 papers), Experimental Behavioral Economics Studies (4 papers), Supply Chain and Inventory Management (4 papers), Financial Markets and Investment Strategies (4 papers), Corporate Finance and Governance (3 papers), Law, Economics, and Judicial Systems (3 papers) and Corporate Governance and Management (3 papers). The work is most often cited by research in General Decision Sciences (19 citations), Management Information Systems (83 citations), Strategy and Management (119 citations), Industrial and Manufacturing Engineering (48 citations) and Management Science and Operations Research (46 citations). Michael Krapp has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Günter Bamberg, Adolf G. Coenenberg, Gregor Dorfleitner, Wolfgang Schultze, Andreas Weiler and Andreas Weiler. Their work appears in journals such as Journal of Business Economics, Review of Managerial Science, Managerial and Decision Economics, International Journal of Physical Distribution & Logistics Management and Contemporary Accounting 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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