Martin Strobel

2.8k citations
59 papers · 1.7k · 1 hit paper · h-index 16

Impact in

Papers in

Martin Strobel

54 papers receiving 1.7k citations

Martin Strobel's Hit Papers

Inequality Aversion, Efficiency, and Maximin Preferences in Simple Distribution Experiments 2004 · 814 citations
8140+7+14Years since publication250500750

Peers

Martin Strobel
Comparison fields: 5 of 106
  • General Decision Sciences 514
  • Safety Research 1.2k
  • Demography 358
  • Economics and Econometrics 567
  • Management Science and Operations Research 259
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Countries citing papers authored by Martin Strobel

Since Specialization
Citations

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

Fields of papers citing papers by Martin Strobel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martin Strobel, 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 Strobel Line = papers co-authored together Martin Strobel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inequality Aversion, Efficiency, and Maximin Preferences in Simple Distribution Experiments
Hit paper breakdown →
2004814
2 2010124
3 201292
4 200775
5 201066
6 200064
7 200349
8 200442
9 200639
10 201236
11 200726
12 200325
13 200024
14 202222
15 201017
16 201516
17 198814
18 200514
19 201611
20 202111

About Martin Strobel

Martin Strobel is a scholar working on Safety Research, Economics and Econometrics, Management Science and Operations Research, General Decision Sciences and Artificial Intelligence, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (27 papers), Decision-Making and Behavioral Economics (14 papers), Game Theory and Applications (11 papers), Auction Theory and Applications (8 papers), Economic and Environmental Valuation (7 papers), Adversarial Robustness in Machine Learning (6 papers), Game Theory and Voting Systems (5 papers) and Consumer Market Behavior and Pricing (5 papers). The work is most often cited by research in General Decision Sciences (514 citations), Safety Research (1.2k citations), Demography (358 citations), Economics and Econometrics (567 citations) and Management Science and Operations Research (259 citations). Martin Strobel has collaborated with scholars based in Netherlands, Germany and Singapore. Frequent co-authors include Dirk Engelmann, Alexander Brüggen, Christiane Schwieren, Alexander Sebald, Charles Bellemare, Werner Güth, Carsten Schmidt, Arno Riedl, Reza Shokri and Anne‐Kathrin Fett. Their work appears in journals such as PLoS ONE, Journal of Conflict Resolution, Experimental Economics, Journal of Economic Behavior & Organization and American Economic Review.

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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