Daisuke Akiba

526 citations
17 papers · 314 · h-index 8

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Family and Disability Support Research
    • Eating Disorders and Behaviors
    • Child and Adolescent Psychosocial and Emotional Development

Papers in

Daisuke Akiba

15 papers receiving 275 citations

Peers

Daisuke Akiba
Comparison fields: 5 of 55
  • Health Informatics 25
  • Clinical Psychology 122
  • Education 164
  • Computer Science Applications 23
  • Safety Research 26
Replace Tuija Turunen with:
Tuija Turunen Finland
Denise Clark Pope United States
Jennifer Chung Australia
Szu‐Yu Chen United States
Rivi Frei-Landau Israel
David T. Marshall United States
Jinjin Lu China
Fiona Hallett United Kingdom
Mary Burkhauser United States
Yovav Eshet Israel
Daisuke Akiba relative to Tuija Turunen Finland Tuija Turunen's profile →
Citations per field
00.5×4.2×
Tuija Turunen · 1×
Citations per year

Countries citing papers authored by Daisuke Akiba

Since Specialization
Citations

This map shows the geographic impact of Daisuke Akiba'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 Daisuke Akiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Akiba more than expected).

Fields of papers citing papers by Daisuke Akiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daisuke Akiba. 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 Daisuke Akiba. The network helps show where Daisuke Akiba may publish in the future.

Co-authors

The 9 scholars most cited alongside Daisuke Akiba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Akiba Line = papers co-authored together Daisuke Akiba links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002151
2 202347
3 199833
4 200428
5 20209
6 20218
7 20228
8 20077
9 19997
10 20043
11 20213
12 20103
13 20103
14 20242
15 20242
16 20250
17 20250

About Daisuke Akiba

Daisuke Akiba is a scholar working on Sociology and Political Science, Social Psychology, Education, Clinical Psychology and Computer Science Applications, having authored 17 papers that have together received 314 indexed citations. Recurring topics across this work include Racial and Ethnic Identity Research (4 papers), Cultural Differences and Values (3 papers), Parental Involvement in Education (3 papers), COVID-19 and Mental Health (3 papers), Social and Intergroup Psychology (3 papers), Early Childhood Education and Development (2 papers), Migration, Health and Trauma (2 papers) and Communication in Education and Healthcare (2 papers). The work is most often cited by research in Health Informatics (25 citations), Clinical Psychology (122 citations), Education (164 citations), Computer Science Applications (23 citations) and Safety Research (26 citations). Daisuke Akiba has collaborated with scholars based in United States and Japan. Frequent co-authors include Benjamin Bailey, Natalia Palacios, Rebecca B. Silver, Lisa DiMartino, Cynthia García Coll, Cynthia T. García Coll, Laura A. Szalacha, Mari Hirano and Michael Perrone. Their work appears in journals such as The Journal of Social Psychology, Parenting, Small Group Research, Frontiers in Sociology and New Directions for Child and Adolescent Development.

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.

Explore authors with similar magnitude of impact