Daisuke Akiba

546 citations
17 papers · 333 · 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 294 citations

Peers

Daisuke Akiba
Comparison fields: 5 of 54
  • Health Informatics 29
  • Clinical Psychology 117
  • Education 166
  • Computer Science Applications 25
  • Safety Research 27
Replace Tuija Turunen with:
Tuija Turunen Finland
Xiantong Yang China
Denise Clark Pope United States
Jennifer Chung Australia
Rivi Frei-Landau Israel
Szu‐Yu Chen United States
Fiona Hallett United Kingdom
Lynn Sheridan Australia
Chad M. Killian United States
Mary Burkhauser United States
Daisuke Akiba relative to Tuija Turunen Finland Tuija Turunen's profile →
Citations per field
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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 2002152
2 202356
3 199835
4 200428
5 20219
6 20209
7 20229
8 19997
9 20077
10 20245
11 20244
12 20043
13 20213
14 20103
15 20103
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 333 indexed citations. Recurring topics across this work include Racial and Ethnic Identity Research (4 papers), Cultural Differences and Values (3 papers), Social and Intergroup Psychology (3 papers), Parental Involvement in Education (3 papers), Early Childhood Education and Development (2 papers), Communication in Education and Healthcare (2 papers), Migration, Health and Trauma (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Health Informatics (29 citations), Clinical Psychology (117 citations), Education (166 citations), Computer Science Applications (25 citations) and Safety Research (27 citations). Daisuke Akiba has collaborated with scholars based in United States and Japan. Frequent co-authors include Benjamin Bailey, Rebecca B. Silver, Natalia Palacios, Lisa DiMartino, Cynthia García Coll, Cynthia T. García Coll, Laura A. Szalacha, Michael Perrone and Mari Hirano. Their work appears in journals such as The Journal of Social Psychology, International Journal of Environmental Research and Public Health, Innovative Higher Education, New Directions for Child and Adolescent Development and Parenting.

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.

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