Katya Tentori
- Artificial Intelligence top 5%
- General Decision Sciences top 1%
- History and Philosophy of Science top 0.5%
- Philosophy top 1%
- Cognitive Neuroscience top 10%
- Co-authors
- Vincenzo CrupiDaniel N. OshersonNicolao BoniniMichel GonzálezSelena RussoBranden FitelsonLynn HasherCynthia P. May
- Topics
- Decision-Making and Behavioral Economics (17 papers)Bayesian Modeling and Causal Inference (14 papers)Epistemology, Ethics, and Metaphysics (10 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Katya Tentori
46 papers receiving 821 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 361
- General Decision Sciences 332
- History and Philosophy of Science 227
- Philosophy 195
- Cognitive Neuroscience 149
Countries citing papers authored by Katya Tentori
This map shows the geographic impact of Katya Tentori'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 Katya Tentori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katya Tentori more than expected).
Fields of papers citing papers by Katya Tentori
This network shows the impact of papers produced by Katya Tentori. 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 Katya Tentori. The network helps show where Katya Tentori may publish in the future.
Co-authorship network of co-authors of Katya Tentori
This figure shows the co-authorship network connecting the top 25 collaborators of Katya Tentori. A scholar is included among the top collaborators of Katya Tentori based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katya Tentori. Katya Tentori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | A Unified Model of Entropy and the Value of Information. | 1 |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 20 | |
| 12 | 15 | |
| 13 | 70 | |
| 14 | 14 | |
| 15 | Explaining the Conjunction Fallacy: Probability vs. Confirmation | 1 |
| 16 | 16 | |
| 17 | 54 | |
| 18 | 66 | |
| 19 | 66 | |
| 20 | 1 |
About Katya Tentori
Katya Tentori is a scholar working on General Decision Sciences, History and Philosophy of Science and Philosophy, having authored 49 papers that have together received 881 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (17 papers), Bayesian Modeling and Causal Inference (14 papers) and Epistemology, Ethics, and Metaphysics (10 papers). The work is most often cited by research in General Decision Sciences (332 citations), History and Philosophy of Science (227 citations) and Philosophy (195 citations). Katya Tentori has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Vincenzo Crupi, Daniel N. Osherson, Nicolao Bonini, Michel González, Selena Russo, Branden Fitelson, Lynn Hasher, Cynthia P. May, Stefania Pighin and Nick Chater. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Psychological Review.
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.