Hrvoje Stojić
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics 3
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- Neural dynamics and brain function 1
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- Behavioral Health and Interventions 1
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- Complex Systems and Decision Making 1
- Multi-Criteria Decision Making 1
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- Experimental Behavioral Economics Studies 1
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- Economic and Environmental Valuation 1
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- Machine Learning and Algorithms 1
- Co-authors
- Jacob Lund OrquinMaarten SpeekenbrinkPantelis P. AnalytisEric SchulzDimitrije MarkovićStefan J. KiebelPeter DayanRaymond J. Dolan
- Journals
- Psychological Bulletin (1 paper)Journal of Risk and Uncertainty (1 paper)Neural Networks (1 paper)
- Partner nations
- United KingdomDenmarkSpain
In The Last Decade
Hrvoje Stojić
11 papers receiving 126 citations
Peers
Comparison fields: 5 of 58
- General Decision Sciences 35
- Cognitive Neuroscience 52
- Applied Psychology 10
- Management Science and Operations Research 20
- Safety Research 10
Countries citing papers authored by Hrvoje Stojić
This map shows the geographic impact of Hrvoje Stojić'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 Hrvoje Stojić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hrvoje Stojić more than expected).
Fields of papers citing papers by Hrvoje Stojić
This network shows the impact of papers produced by Hrvoje Stojić. 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 Hrvoje Stojić. The network helps show where Hrvoje Stojić may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Hrvoje Stojić, 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 | 2023 | 1 | |
| 2 | 2021 | 23 | |
| 3 | 2021 | 25 | |
| 4 | 2020 | 21 | |
| 5 | 2020 | 26 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 26 | |
| 8 | 2018 | 2 | |
| 9 | 2017 | 1 | |
| 10 | Diversity of preferences can increase collective welfare in sequential exploration problems - Collective Intelligence | 2017 | 1 |
| 11 | The collective dynamics of sequential search in markets for cultural products | 2015 | 1 |
About Hrvoje Stojić
Hrvoje Stojić is a scholar working on General Decision Sciences, Management Science and Operations Research, Applied Psychology, Statistical and Nonlinear Physics and Safety Research, having authored 11 papers that have together received 128 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (3 papers), Economic and Environmental Valuation (1 paper), Complex Systems and Decision Making (1 paper), Behavioral Health and Interventions (1 paper), Neural dynamics and brain function (1 paper), Machine Learning and Algorithms (1 paper), Experimental Behavioral Economics Studies (1 paper) and Multi-Criteria Decision Making (1 paper). The work is most often cited by research in General Decision Sciences (35 citations), Cognitive Neuroscience (52 citations), Applied Psychology (10 citations), Management Science and Operations Research (20 citations) and Safety Research (10 citations). Hrvoje Stojić has collaborated with scholars based in United Kingdom, Denmark and Spain. Frequent co-authors include Jacob Lund Orquin, Maarten Speekenbrink, Pantelis P. Analytis, Eric Schulz, Dimitrije Marković, Stefan J. Kiebel, Peter Dayan, Raymond J. Dolan, Ferdinand M. Vieider and Ranoua Bouchouicha. Their work appears in journals such as Psychological Bulletin, Journal of Risk and Uncertainty, Neural Networks, Journal of Experimental Psychology Learning Memory and Cognition and Proceedings of the National Academy of Sciences.
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.