Akira Hayami
- Economics and Econometrics top 10%
- Sociology and Political Science
- Cultural Studies top 2%
- Demography top 10%
- Gender Studies top 10%
- Co-authors
- Ad van der WoudeJan de VriesWilliam LavelyMichael P. TodaroSatomi KurosuJack Α. GoldstoneOsamu SaitôRonald P. Toby
- Topics
- Japanese History and Culture (13 papers)Demographic Trends and Gender Preferences (4 papers)Historical Studies and Socio-cultural Analysis (3 papers)
- Partner nations
- Japan
In The Last Decade
Akira Hayami
21 papers receiving 231 citations
Peers
Comparison fields: 5 of 53
- Economics and Econometrics 134
- Sociology and Political Science 111
- Cultural Studies 65
- Demography 61
- Gender Studies 57
Countries citing papers authored by Akira Hayami
This map shows the geographic impact of Akira Hayami'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 Akira Hayami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Hayami more than expected).
Fields of papers citing papers by Akira Hayami
This network shows the impact of papers produced by Akira Hayami. 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 Akira Hayami. The network helps show where Akira Hayami may publish in the future.
Co-authorship network of co-authors of Akira Hayami
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Hayami. A scholar is included among the top collaborators of Akira Hayami 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 Akira Hayami. Akira Hayami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | Japan's Industrious Revolution: Economic and Social Transformations in the Early Modern Period | 12 |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | Emergence of economic society in Japan, 1600-1859 | 24 |
| 8 | 25 | |
| 9 | 17 | |
| 10 | 0 | |
| 11 | 34 | |
| 12 | 51 | |
| 13 | 9 | |
| 14 | 22 | |
| 15 | Thank you Francisco Xavier: an essay in the use of micro-data for historical demography of Tokugawa Japan. | 15 |
| 16 | 3 | |
| 17 | 3 | |
| 18 | THE DEMOGRAPHIC ANALYSIS OF A VILLAGE IN TOKUGAWA JAPAN: KANDO-SHHINDEN OF OWARI PROVINCE, 1778-1871 | 9 |
| 19 | THE POPULATION AT THE BEGINNING OF THE TOKUGAWA PERIOD : An Introduction to the Historical Demography of Pre-industrial Japan | 5 |
| 20 | EPANOUISSEMENT DU "NOUVEAU REGIME SEIGNEURIAL" AUX 16^e ET 17^e SIECLES : Le cas des Daimyo ASANO | 1 |
About Akira Hayami
Akira Hayami is a scholar working on Cultural Studies, History and Philosophy of Science and Gender Studies, having authored 22 papers that have together received 300 indexed citations. Recurring topics across this work include Japanese History and Culture (13 papers), Demographic Trends and Gender Preferences (4 papers) and Historical Studies and Socio-cultural Analysis (3 papers). The work is most often cited by research in Cultural Studies (65 citations), Gender Studies (57 citations) and Demography (61 citations). Akira Hayami has collaborated with scholars based in Japan. Frequent co-authors include Ad van der Woude, Jan de Vries, William Lavely, Michael P. Todaro, Satomi Kurosu, Jack Α. Goldstone, Osamu Saitô, Ronald P. Toby and Robin Pearson. Their work appears in journals such as Population and Development Review, The Economic History Review and Journal of Japanese Studies.
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.