Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Daniel Kahneman (/ˈkɑːnəmən/; Hebrew: דניאל כהנמן; March 5, 1934 – March 27, 2024) was an Israeli-American psychologist best known for his work on the psychology of judgment and decision-making as well as behavioral economics, for which he was awarded the 2002 Nobel Memorial Prize in Economic Sciences together with Vernon L. Smith. Kahneman's published…
The analysis highlights Works, Legacy, Career and Science as prominent areas in the source structure around Daniel Kahneman.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Daniel Kahneman shows recurring relationship patterns in the source. For example, Daniel Kahneman → Achievement, Advancement, American Academy, American Philosophical Society, American Psychological Association's Award, American Psychological AssociationIn, Amos Tversky, Arts, Award, Bloomberg, British AcademyIn, Consumer PsychologyIn, Corresponding Fellow, Cosmos ClubIn, Current Interest, Decision Analysis Publication Award, Decision Analysis SocietyIn, Distinguished Fellow, Distinguished Scientific Contribution Award, Distinguished Scientific Contributions Another extracted example is Daniel Kahneman → April, Behavioral Scientist, Bounded Rationality, David, Economics, Fast, Henderson, IMDbDaniel Kahneman, ISBN, January, Kahneman's Fallacies, Lessons, Liberty, Liberty Fund, Library, Maps, Martin, Memories, Mosaic, Nobel Lecture. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
kahneman psychology university tversky daniel economics published judgment theory behavioral cognitive economic california hebrew amos sciences life utility work thinking
TTTA extracted 159 structured relationships around Daniel Kahneman. Examples in this analysis include Daniel Kahneman → Born → (1934-03-05)March 5, 1934 British Mandate of Palestine and Daniel Kahneman → Citizenship → American, Israeli. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Daniel Kahneman | Born | (1934-03-05)March 5, 1934 British Mandate of Palestine | 1.00 | infobox |
| Daniel Kahneman | Citizenship | American, Israeli | 1.00 | infobox |
| Daniel Kahneman | Died | March 27, 2024(2024-03-27) (aged 90) Nunningen, Switzerland | 1.00 | infobox |
| Daniel Kahneman | Doctoral advisor | Susan M. Ervin-Tripp | 1.00 | infobox |
| Daniel Kahneman | Education | Hebrew University (BA) University of California, Berkeley (MA, PhD) | 1.00 | infobox |
| Daniel Kahneman | Fields | Psychology | 1.00 | infobox |
| Daniel Kahneman | Fields | Economics | 1.00 | infobox |
| Daniel Kahneman | Known for | Cognitive biases | 1.00 | infobox |
| Daniel Kahneman | Known for | Behavioral economics | 1.00 | infobox |
| Daniel Kahneman | Known for | Prospect theory | 1.00 | infobox |
| Daniel Kahneman | Known for | Loss aversion | 1.00 | infobox |
| Daniel Kahneman | Known for | Hedonic psychology | 1.00 | infobox |
| Daniel Kahneman | Notable students | Anat Ninio | 1.00 | infobox |
| Daniel Kahneman | Notable students | Avishai Henik | 1.00 | infobox |
| Daniel Kahneman | Notable students | Baruch Fischhoff | 1.00 | infobox |
| Daniel Kahneman | Notable students | Ziv Carmon | 1.00 | infobox |
| Daniel Kahneman | Partner | Barbara Tversky (2020–2024) | 1.00 | infobox |
| Daniel Kahneman | Spouses | Irah Kahneman | 1.00 | infobox |
| Daniel Kahneman | Spouses | .mw-parser-output .marriage-line-margin2px{line-height:0;margin-bottom:-2px}.mw-parser-output .marriage-line-margin3px{line-height:0;margin-bottom:-3px}.mw-parser-output .marria… | 1.00 | infobox |
| Daniel Kahneman | Thesis | An analytical model of the semantic differential (1961) | 1.00 | infobox |
| Daniel Kahneman | Website | scholar.princeton.edu/kahneman/ | 1.00 | infobox |
| Daniel Kahneman | Workplaces | Princeton University (1993–2024) | 1.00 | infobox |
| Daniel Kahneman | Workplaces | University of California, Berkeley (1986–93) | 1.00 | infobox |
| Daniel Kahneman | Workplaces | University of British Columbia (1978–86) | 1.00 | infobox |
| Daniel Kahneman | Workplaces | Center for Advanced Study in the Behavioral Sciences, Stanford (1972–73) | 1.00 | infobox |
| Daniel Kahneman | Workplaces | Hebrew University of Jerusalem (1961–77) | 1.00 | infobox |
The concept neighborhoods around Daniel Kahneman bring nearby vocabulary together. In this analysis, examples include Kahneman, University and Psychologist. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Daniel Kahneman, one of the stronger structural bridges in this analysis connects Daniel Kahneman with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Daniel Kahneman to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Legacy, Career & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Daniel Kahneman · EN edition · Analysis: TopicsToTalkAbout