David Danz

20 papers receiving 356 citations

Peers

David Danz
Comparison fields: 5 of 82
  • General Decision Sciences 58
  • Safety Research 109
  • Pollution 121
  • Energy Engineering and Power Technology 29
  • Environmental Chemistry 74
Replace Maria Grazia Pazienza with:
Maria Grazia Pazienza Italy
Jason Bell United States
Nathan W. Chan United States
Xavier Gassmann France
Elena V. McLean United States
Mayuresh Kshetramade United States
Sothea Oum Indonesia
Gautam Gupta India
Andrew M. Simons United States
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Citations per field
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Citations per year

Countries citing papers authored by David Danz

Since Specialization
Citations

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

Fields of papers citing papers by David Danz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014101
2 201797
3 202268
4 201236
5 20157
6 20166
7 20206
8 20156
9 20106
10 20225
11 20205
12 20214
13 20084
14
The Biases of Others: Projection Equilibrium in an Agency Setting
20183
15 20203
16 20162
17
Biases of Others: Anticipating Informational Projection in an Agency Setting
20142
18 20211
19 20241
20 20231

About David Danz

David Danz is a scholar working on Safety Research, Management Science and Operations Research, General Decision Sciences, Genetics and Economics and Econometrics, having authored 23 papers that have together received 364 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (13 papers), Decision-Making and Behavioral Economics (8 papers), Game Theory and Applications (7 papers), High Altitude and Hypoxia (3 papers), Culture, Economy, and Development Studies (3 papers), Law, Economics, and Judicial Systems (2 papers), Auction Theory and Applications (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in General Decision Sciences (58 citations), Safety Research (109 citations), Pollution (121 citations), Energy Engineering and Power Technology (29 citations) and Environmental Chemistry (74 citations). David Danz has collaborated with scholars based in United States, Germany and Peru. Frequent co-authors include William Checkley, Lise Vesterlund, Alistair J. Wilson, Dorothea Kübler, Steven A. Harvey, Catherine H. Miele, Kendra N. Williams, Dietmar Fehr, Christine Marie George and Laura C. Sima. Their work appears in journals such as High Altitude Medicine & Biology, Games and Economic Behavior, The Lancet Global Health, International Journal of Environmental Research and Public Health and Management Science.

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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