Warren Tierney
Impact in
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- Decision-Making and Behavioral Economics
Papers in
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- Explainable Artificial Intelligence (XAI) 1
- Advanced Text Analysis Techniques 1
- Topic Modeling 1
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- Social and Intergroup Psychology 1
- Co-authors
- Eric Luis Uhlmann (8 shared papers)Martin Schweinsberg (2 shared papers)Anna Dreber (2 shared papers)Magnus Johannesson (2 shared papers)Domenico Viganola (1 shared paper)Charles R. Ebersole (2 shared papers)Jay H. Hardy (2 shared papers)Michael Gordon (1 shared paper)
- Journals
- Psychological Inquiry (1 paper)Perspectives on Psychological Science (1 paper)Organizational Behavior and Human Decision Processes (1 paper)Royal Society Open Science (1 paper)Advances in Methods and Practices in Psychological Science (1 paper)
- Partner nations
- SingaporeUnited StatesSweden
In The Last Decade
Warren Tierney
6 papers receiving 116 citations
Peers
Comparison fields: 5 of 67
- General Decision Sciences 6
- Health Informatics 3
- Applied Psychology 10
- Information Systems and Management 11
- Statistics, Probability and Uncertainty 11
Countries citing papers authored by Warren Tierney
This map shows the geographic impact of Warren Tierney'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 Warren Tierney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren Tierney more than expected).
Fields of papers citing papers by Warren Tierney
This network shows the impact of papers produced by Warren Tierney. 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 Warren Tierney. The network helps show where Warren Tierney may publish in the future.
Co-authors
The 25 scholars most cited alongside Warren Tierney, 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 | Specification curve analysis | 2019 | 49 |
| 2 | 2020 | 36 | |
| 3 | 2021 | 26 | |
| 4 | 2024 | 7 | |
| 5 | 2022 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2019 | 0 | |
| 8 | 2016 | 0 |
About Warren Tierney
Warren Tierney is a scholar working on Artificial Intelligence, Sociology and Political Science, Statistics, Probability and Uncertainty, Ocean Engineering and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 121 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (2 papers), Explainable Artificial Intelligence (XAI) (1 paper), Computational and Text Analysis Methods (1 paper), Oil and Gas Production Techniques (1 paper), Advanced Text Analysis Techniques (1 paper), Empathy and Medical Education (1 paper), Topic Modeling (1 paper) and Social and Intergroup Psychology (1 paper). The work is most often cited by research in General Decision Sciences (6 citations), Health Informatics (3 citations), Applied Psychology (10 citations), Information Systems and Management (11 citations) and Statistics, Probability and Uncertainty (11 citations). Warren Tierney has collaborated with scholars based in Singapore, United States and Sweden. Frequent co-authors include Eric Luis Uhlmann, Martin Schweinsberg, Anna Dreber, Magnus Johannesson, Domenico Viganola, Charles R. Ebersole, Jay H. Hardy, Michael Gordon, Thomas Pfeiffer and Keith Leavitt. Their work appears in journals such as Psychological Inquiry, Perspectives on Psychological Science, Organizational Behavior and Human Decision Processes, Royal Society Open Science and Advances in Methods and Practices in Psychological 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.