Kazuki Nakajima
Biographic Data
| ID | 7930740 |
|---|---|
| NAME | Kazuki Nakajima |
| GIVEN NAMES | Kazuki |
| FAMILY NAME | Nakajima |
| SIGNATURE | NAKAJIMA K |
| AFFILIATIONS | Tokyo Metropolitan University |
| ORCID | 0000-0002-0632-3930 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Systemic gendered citation imbalance in computer science
Gender imbalance persists across science, technology, engineering, and mathematics (STEM) fields, including computer science, where it appears in researcher demographics, productivity, recognition, hiring, and career progression. Given computer science’s rapid expansion and global influence, addressing this imbalance is essential for broadening participation and fueling innovation. Although journal-oriented disciplines exhibit consistent gender i…
Inference and visualization of community structure in attributed hypergraphs using mixed-membership stochastic block models
Hypergraphs represent complex systems involving interactions among more than two entities and allow the investigation of higher-order structure and dynamics in complex systems. Node attribute data, which often accompanies network data, can enhance the inference of community structure in complex systems. While mixed-membership stochastic block models have been employed to infer community structure in hypergraphs, they complicate the visualization …
Higher-order rich-club phenomenon in collaborative research grant networks
Modern scientific work, including writing papers and submitting research grant proposals, increasingly involves researchers from different institutions. In grant collaborations, it is known that institutions involved in many collaborations tend to densely collaborate with each other, forming rich clubs. Here we investigate higher-order rich-club phenomena in networks of collaborative research grants among institutions and their associations with …
Mediating Effects of Trait Anxiety and State Anxiety on the Effects of Physical Activity on Depressive Symptoms
The present study suggests that an optimal physical activity time exists for depressive symptoms. The path model demonstrated an association between the three factors of optimal physical activity time, trait anxiety, and depressive symptoms, and the effect was fully mediated by trait anxiety
Understanding psychiatric illness through natural language processing (Underpin)
Identifier: UMIN000032141
No prominent works on this page.
Understanding psychiatric illness through natural language processing (Underpin)
Identifier: UMIN000032141
Higher-order rich-club phenomenon in collaborative research grant networks
Modern scientific work, including writing papers and submitting research grant proposals, increasingly involves researchers from different institutions. In grant collaborations, it is known that institutions involved in many collaborations tend to densely collaborate with each other, forming rich clubs. Here we investigate higher-order rich-club phenomena in networks of collaborative research grants among institutions and their associations with …
Mediating Effects of Trait Anxiety and State Anxiety on the Effects of Physical Activity on Depressive Symptoms
The present study suggests that an optimal physical activity time exists for depressive symptoms. The path model demonstrated an association between the three factors of optimal physical activity time, trait anxiety, and depressive symptoms, and the effect was fully mediated by trait anxiety
Inference and visualization of community structure in attributed hypergraphs using mixed-membership stochastic block models
Hypergraphs represent complex systems involving interactions among more than two entities and allow the investigation of higher-order structure and dynamics in complex systems. Node attribute data, which often accompanies network data, can enhance the inference of community structure in complex systems. While mixed-membership stochastic block models have been employed to infer community structure in hypergraphs, they complicate the visualization …
Systemic gendered citation imbalance in computer science
Gender imbalance persists across science, technology, engineering, and mathematics (STEM) fields, including computer science, where it appears in researcher demographics, productivity, recognition, hiring, and career progression. Given computer science’s rapid expansion and global influence, addressing this imbalance is essential for broadening participation and fueling innovation. Although journal-oriented disciplines exhibit consistent gender i…
Computer Science (3 works) · Medicine (3 works) · Anxiety (2 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works) · Complex Network Analysis Techniques (2 works) · Mental Health Research Topics (2 works) · Psychiatry (2 works) · Psychology (2 works) · scientometrics and bibliometrics research (2 works)