Tomoya Mori
- Economics and Econometrics top 1%
- Control and Systems Engineering top 5%
- General Economics, Econometrics and Finance top 2%
- Immunology top 10%
- Reproductive Medicine top 5%
- Co-authors
- Masahisa FujitaPaúl KrugmanTony SmithH. KokameM. KuwaharaErik NoldusHideharu KanzakiYoshihiro Noda
- Topics
- Regional Economics and Spatial Analysis (20 papers)Spatial and Panel Data Analysis (9 papers)Regional Economic and Spatial Analysis (5 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Clinical Endocrinology & MetabolismIEEE Transactions on Automatic Control
- Partner nations
- JapanUnited StatesSlovakia
In The Last Decade
Tomoya Mori
50 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Economics and Econometrics 979
- Control and Systems Engineering 286
- General Economics, Econometrics and Finance 264
- Immunology 260
- Reproductive Medicine 189
Countries citing papers authored by Tomoya Mori
This map shows the geographic impact of Tomoya Mori'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 Tomoya Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoya Mori more than expected).
Fields of papers citing papers by Tomoya Mori
This network shows the impact of papers produced by Tomoya Mori. 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 Tomoya Mori. The network helps show where Tomoya Mori may publish in the future.
Co-authorship network of co-authors of Tomoya Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoya Mori. A scholar is included among the top collaborators of Tomoya Mori 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 Tomoya Mori. Tomoya Mori 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 | 13 | |
| 3 | Collaborative knowledge creation: Evidence from Japanese patent data | 0 |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 76 | |
| 7 | 42 | |
| 8 | 43 | |
| 9 | 15 | |
| 10 | 43 | |
| 11 | 21 | |
| 12 | 54 | |
| 13 | 75 | |
| 14 | 32 | |
| 15 | 4 | |
| 16 | 27 | |
| 17 | 7 | |
| 18 | 52 | |
| 19 | 8 | |
| 20 | 16 |
About Tomoya Mori
Tomoya Mori is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Aging, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Regional Economics and Spatial Analysis (20 papers), Spatial and Panel Data Analysis (9 papers) and Regional Economic and Spatial Analysis (5 papers). The work is most often cited by research in Economics and Econometrics (979 citations), General Economics, Econometrics and Finance (264 citations) and Transportation (187 citations). Tomoya Mori has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Masahisa Fujita, Paúl Krugman, Tony Smith, H. Kokame, M. Kuwahara, Erik Noldus, Hideharu Kanzaki, Yoshihiro Noda, Mieko Iwai and Takahiro Nakayama. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and IEEE Transactions on Automatic Control.
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.