Naoki Egami
- Sociology and Political Science top 10%
- Political Science and International Relations top 5%
- Economics and Econometrics
- Statistics and Probability top 5%
- Gender Studies
- Co-authors
- Kosuke ImaiErin HartmanBrandon De La CuestaRafaela DancygierAmaney JamalRamona RischkeChristian FongMargaret E. Roberts
- Topics
- Advanced Causal Inference Techniques (6 papers)Statistical Methods and Bayesian Inference (4 papers)Statistical Methods and Inference (4 papers)
- Cited by
- Statistics and ProbabilityPolitical Science and International RelationsGeneral Social Sciences
- Journals
- Journal of the American Statistical AssociationScience AdvancesAmerican Political Science Review
- Partner nations
- United StatesGermany
In The Last Decade
Naoki Egami
17 papers receiving 343 citations
Peers
Comparison fields: 5 of 72
- Sociology and Political Science 173
- Political Science and International Relations 131
- Economics and Econometrics 64
- Statistics and Probability 56
- Gender Studies 31
Countries citing papers authored by Naoki Egami
This map shows the geographic impact of Naoki Egami'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 Naoki Egami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Egami more than expected).
Fields of papers citing papers by Naoki Egami
This network shows the impact of papers produced by Naoki Egami. 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 Naoki Egami. The network helps show where Naoki Egami may publish in the future.
Co-authorship network of co-authors of Naoki Egami
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Egami. A scholar is included among the top collaborators of Naoki Egami 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 Naoki Egami. Naoki Egami 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 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 41 | |
| 9 | 9 | |
| 10 | 50 | |
| 11 | 30 | |
| 12 | 82 | |
| 13 | 30 | |
| 14 | 8 | |
| 15 | Covariate Selection for Generalizing Experimental Results | 1 |
| 16 | 4 | |
| 17 | 75 | |
| 18 | 5 |
About Naoki Egami
Naoki Egami is a scholar working on Statistics and Probability, General Social Sciences and General Decision Sciences, having authored 18 papers that have together received 356 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Statistics and Probability (56 citations), Political Science and International Relations (131 citations) and General Social Sciences (17 citations). Naoki Egami has collaborated with scholars based in United States and Germany. Frequent co-authors include Kosuke Imai, Erin Hartman, Brandon De La Cuesta, Rafaela Dancygier, Amaney Jamal, Ramona Rischke, Christian Fong, Margaret E. Roberts, Brandon Stewart and Justin Grimmer. Their work appears in journals such as Journal of the American Statistical Association, Science Advances and American Political Science 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.