Teppei Yamamoto
About
In The Last Decade
Teppei Yamamoto
38 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Sociology and Political Science 2.6k
- Political Science and International Relations 1.7k
- Economics and Econometrics 1.1k
- Gender Studies 592
- Statistics and Probability 524
Countries citing papers authored by Teppei Yamamoto
This map shows the geographic impact of Teppei Yamamoto'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 Teppei Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teppei Yamamoto more than expected).
Fields of papers citing papers by Teppei Yamamoto
This network shows the impact of papers produced by Teppei Yamamoto. 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 Teppei Yamamoto. The network helps show where Teppei Yamamoto may publish in the future.
Co-authorship network of co-authors of Teppei Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Teppei Yamamoto. A scholar is included among the top collaborators of Teppei Yamamoto 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 Teppei Yamamoto. Teppei Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 52 | |
| 4 | 22 | |
| 5 | Does Conjoint Analysis Mitigate Social Desirability Bias? breakdown → | 151 |
| 6 | Using Conjoint Experiments to Analyze Elections: The Essential Role of the Average Marginal Component Effect (AMCE) | 6 |
| 7 | 26 | |
| 8 | 48 | |
| 9 | 90 | |
| 10 | Why Replications Do Not Fix the Reproducibility Crisis: A Model and Evidence from a Large-Scale Vignette Experiment (WP-19-04) | 1 |
| 11 | 49 | |
| 12 | 2 | |
| 13 | Practical Implications of Theoretical Results for Causal Mediation Analysis | 4 |
| 14 | 4 | |
| 15 | Experimental Designs for Identifying Causal Mechanisms (with discussions) | 15 |
| 16 | Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments breakdown → | 1199 |
| 17 | 95 | |
| 18 | 259 | |
| 19 | Unpacking the Black-Box: Learning about Causal Mechanisms from Experimental and Observational Studies | 28 |
| 20 | [A case of thanatophoric dysplasia with long survival (author's transl)]. | 1 |
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.