Center for Information and Neural Networks (CiNet)
CiNet 脳情報通信融合研究センター
Japan
1 October 2019 - 30 September 2020
Region: Global
Subject/journal group: All
The table to the right includes counts of all research outputs for Center for Information and Neural Networks (CiNet) published between 1 October 2019 - 30 September 2020 which are tracked by the Nature Index.
Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.
Research collaboration: Center for Information and Neural Networks (CiNet) is a research collaboration whose article contributions are accrued to its participating partner institutions.
Note: Articles may be assigned to more than one subject area.
| Count | Share |
|---|---|
| 6 | 1.19 |
Outputs by subject (Share)
| Subject | Count | Share | |
|---|---|---|---|
| Life Sciences | 6 | 1.19 | |
| Chemistry | 2 | 0.31 | |
Top articles by Altmetric score in current window
Visualization and molecular characterization of whole-brain vascular networks with capillary resolution
Nature Communications
2020-02-27
Quantitative models reveal the organization of diverse cognitive functions in the brain
Nature Communications
2020-03-02
1 October 2019 - 30 September 2020
International vs. domestic collaboration by Share
- 51.64% Domestic
- 48.36% International
Note: Hover over the graph to view the percentage of collaboration.
Top 10 domestic collaborators by Share (4 total)
- Center for Information and Neural Networks (CiNet), Japan
- Domestic institution
Top 10 international collaborators by Share (6 total)
- Center for Information and Neural Networks (CiNet), Japan
- Foreign institution
-
University of California, Berkeley (UC Berkeley), United States of America (USA)
(0.83)
-
Helmholtz Association of German Research Centres, Germany
(0.71)
-
University of Cambridge, United Kingdom (UK)
(0.35)
-
University of California, Los Angeles (UCLA), United States of America (USA)
(0.29)
-
Wake Forest University (WFU), United States of America (USA)
(0.29)
-
University of Oxford, United Kingdom (UK)
(0.23)
Note: Collaboration is determined by the fractional count (Share), which is listed in parentheses.
Participating institutions
Center for Information and Neural Networks (CiNet) is a research collaboration whose article contributions are accrued to its participating partner institutions below.
Numerical information only is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
