Dina Utami

606 citations
24 papers · 453 · h-index 11

Impact in

Papers in

    • Computer Science and Engineering 5
    • Edcuational Technology Systems 4
    • AI in Service Interactions 4
    • Social Robot Interaction and HRI 5
    • Attachment and Relationship Dynamics 2

Dina Utami

24 papers receiving 434 citations

Peers

Dina Utami
Comparison fields: 5 of 89
  • Applied Psychology 77
  • Human-Computer Interaction 58
  • Health Informatics 9
  • Social Psychology 124
  • Artificial Intelligence 143
Replace Reza Amini with:
Reza Amini United States
Silke ter Stal Netherlands
Stefán Ólafsson United States
Hannah Bradwell United Kingdom
Katie Edwards United Kingdom
Jay A. Gorman United States
Ugan Yasavur United States
Wei Qi Koh Ireland
Wan Jou She Japan
Kate Loveys New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by Dina Utami

Since Specialization
Citations

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

Fields of papers citing papers by Dina Utami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Dina Utami, 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 Dina Utami Line = papers co-authored together Dina Utami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016123
2 201451
3
Animasi Dalam Pembelajaran
201144
4 201840
5 202233
6 201930
7 201726
8 201616
9 201715
10 201414
11 201713
12 20159
13 20198
14 20175
15 20165
16 20184
17 20174
18 20203
19
A Conversational Agent-based Clinical Trial Search Engine
20133
20 20182

About Dina Utami

Dina Utami is a scholar working on Artificial Intelligence, Social Psychology, Information Systems, General Health Professions and Human-Computer Interaction, having authored 24 papers that have together received 453 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (5 papers), Computer Science and Engineering (5 papers), Edcuational Technology Systems (4 papers), AI in Service Interactions (4 papers), Multimedia Learning Systems (3 papers), Data Mining and Machine Learning Applications (3 papers), Attachment and Relationship Dynamics (2 papers) and Virtual Reality Applications and Impacts (2 papers). The work is most often cited by research in Applied Psychology (77 citations), Human-Computer Interaction (58 citations), Health Informatics (9 citations), Social Psychology (124 citations) and Artificial Intelligence (143 citations). Dina Utami has collaborated with scholars based in United States, Indonesia and Mexico. Frequent co-authors include Timothy Bickmore, Michael K. Paasche‐Orlow, Robin K. Matsuyama, Stefán Ólafsson, Lazlo Ring, Dhaval Parmar, Kusprasapta Mutijarsa, Barbara Barry, Louis J. Kruger and Candace L. Sidner. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Journal of Medical Internet Research, Journal of Health Communication, Lecture notes in computer science and JURNAL INFOTEL.

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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