Daniel Hausmann
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
- Family Practice top 10%
Papers in
-
- Decision-Making and Behavioral Economics 6
-
- Forecasting Techniques and Applications 3
- Co-authors
- Damian Läge (3 shared papers)Victoria A. Braithwaite (1 shared paper)Peter M. Todd (1 shared paper)Klaus Fiedler (1 shared paper)Michael Lee (1 shared paper)Cleotilde González (1 shared paper)Kate V. Morgan (1 shared paper)Ben R. Newell (1 shared paper)
- Journals
- Decision (1 paper)Journal of Economic Psychology (1 paper)BMC Medical Informatics and Decision Making (1 paper)Intensive Care Medicine (1 paper)PLoS ONE (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Daniel Hausmann
13 papers receiving 486 citations
Daniel Hausmann's Hit Papers
Peers
Comparison fields: 5 of 104
- General Decision Sciences 117
- Family Practice 14
- Applied Psychology 38
- Cognitive Neuroscience 116
- Experimental and Cognitive Psychology 73
Countries citing papers authored by Daniel Hausmann
This map shows the geographic impact of Daniel Hausmann'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 Daniel Hausmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hausmann more than expected).
Fields of papers citing papers by Daniel Hausmann
This network shows the impact of papers produced by Daniel Hausmann. 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 Daniel Hausmann. The network helps show where Daniel Hausmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Hausmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Unpacking the exploration–exploitation tradeoff: A synthesis of human and animal literatures. Hit paper breakdown → | 2015 | 241 |
| 2 | 2005 | 68 | |
| 3 | 2008 | 41 | |
| 4 | 2008 | 40 | |
| 5 | 2010 | 23 | |
| 6 | 1985 | 21 | |
| 7 | 2012 | 21 | |
| 8 | 2016 | 17 | |
| 9 | 2018 | 14 | |
| 10 | 2017 | 9 | |
| 11 | 2019 | 5 | |
| 12 | 2006 | 5 | |
| 13 | 2021 | 2 | |
| 14 | 1983 | 0 | |
| 15 | 2005 | 0 |
About Daniel Hausmann
Daniel Hausmann is a scholar working on General Decision Sciences, Management Science and Operations Research, Neurology, Cognitive Neuroscience and Epidemiology, having authored 15 papers that have together received 507 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (6 papers), Forecasting Techniques and Applications (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Economic and Environmental Valuation (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Mental Health and Psychiatry (1 paper), Psychology, Coaching, and Therapy (1 paper) and Experimental Behavioral Economics Studies (1 paper). The work is most often cited by research in General Decision Sciences (117 citations), Family Practice (14 citations), Applied Psychology (38 citations), Cognitive Neuroscience (116 citations) and Experimental and Cognitive Psychology (73 citations). Daniel Hausmann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Damian Läge, Victoria A. Braithwaite, Peter M. Todd, Klaus Fiedler, Michael Lee, Cleotilde González, Kate V. Morgan, Ben R. Newell, Todd S. Woodward and Steffen Moritz. Their work appears in journals such as Decision, Journal of Economic Psychology, BMC Medical Informatics and Decision Making, Intensive Care Medicine and PLoS ONE.
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.