Daniel E. Acuña
Impact in
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- scientometrics and bibliometrics research
- General Decision Sciences top 10%
Papers in
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- scientometrics and bibliometrics research 12
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- Topic Modeling 5
- Advanced Text Analysis Techniques 3
- Co-authors
- Konrad P. Körding (11 shared papers)Stefano Allesina (1 shared paper)Titipat Achakulvisut (5 shared papers)Max Berniker (2 shared papers)Stephen V. David (2 shared papers)Scott T. Grafton (3 shared papers)Jean Liénard (1 shared paper)Hugo L. Fernandes (2 shared papers)
- Journals
- PLoS ONE (3 papers)PLoS Computational Biology (2 papers)Journal of Informetrics (2 papers)Nature Communications (2 papers)Science Advances (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Daniel E. Acuña
37 papers receiving 819 citations
Peers
Comparison fields: 5 of 116
- Statistics, Probability and Uncertainty 223
- General Decision Sciences 23
- Cognitive Neuroscience 212
- Information Systems and Management 62
- Social Psychology 112
Countries citing papers authored by Daniel E. Acuña
This map shows the geographic impact of Daniel E. Acuña'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 E. Acuña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Acuña more than expected).
Fields of papers citing papers by Daniel E. Acuña
This network shows the impact of papers produced by Daniel E. Acuña. 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 E. Acuña. The network helps show where Daniel E. Acuña may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Acuña, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 163 | |
| 2 | 2016 | 81 | |
| 3 | 2016 | 75 | |
| 4 | 2018 | 75 | |
| 5 | 2018 | 74 | |
| 6 | 2012 | 48 | |
| 7 | 2010 | 46 | |
| 8 | 2015 | 44 | |
| 9 | 2014 | 39 | |
| 10 | 2023 | 20 | |
| 11 | 2020 | 19 | |
| 12 | Bayesian modeling of human sequential decision-making on the multi-armed bandit problem | 2008 | 19 |
| 13 | 2022 | 19 | |
| 14 | 2020 | 14 | |
| 15 | 2018 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2010 | 11 | |
| 18 | 2022 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2021 | 8 |
About Daniel E. Acuña
Daniel E. Acuña is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence, Information Systems and Management, Cognitive Neuroscience and Molecular Biology, having authored 39 papers that have together received 848 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (12 papers), Topic Modeling (5 papers), Scientific Computing and Data Management (5 papers), Biomedical Text Mining and Ontologies (5 papers), Health and Medical Research Impacts (3 papers), Neural and Behavioral Psychology Studies (3 papers), Advanced Text Analysis Techniques (3 papers) and Motor Control and Adaptation (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (223 citations), General Decision Sciences (23 citations), Cognitive Neuroscience (212 citations), Information Systems and Management (62 citations) and Social Psychology (112 citations). Daniel E. Acuña has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Konrad P. Körding, Stefano Allesina, Titipat Achakulvisut, Max Berniker, Stephen V. David, Scott T. Grafton, Jean Liénard, Hugo L. Fernandes, Robert S. Turner and James A. Evans. Their work appears in journals such as PLoS ONE, PLoS Computational Biology, Journal of Informetrics, Nature Communications and Science Advances.
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.