Jacqueline Urakami

427 total citations
26 papers, 204 citations indexed

About

Jacqueline Urakami is a scholar working on Social Psychology, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Jacqueline Urakami has authored 26 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Social Psychology, 9 papers in Artificial Intelligence and 8 papers in Human-Computer Interaction. Recurrent topics in Jacqueline Urakami's work include Social Robot Interaction and HRI (7 papers), AI in Service Interactions (6 papers) and Speech and dialogue systems (3 papers). Jacqueline Urakami is often cited by papers focused on Social Robot Interaction and HRI (7 papers), AI in Service Interactions (6 papers) and Speech and dialogue systems (3 papers). Jacqueline Urakami collaborates with scholars based in Japan, Canada and United Kingdom. Jacqueline Urakami's co-authors include Katie Seaborn, Yeong‐Dae Kim, Josef F. Krems, Mark Chignell, Pei‐Luen Patrick Rau, Peter Pennefather, Norihisa Miyake, Sándor Vajna, Shiyu Zhang and Tiffany Tong and has published in prestigious journals such as Computers in Human Behavior, ACM Computing Surveys and Human Factors The Journal of the Human Factors and Ergonomics Society.

In The Last Decade

Jacqueline Urakami

23 papers receiving 193 citations

Peers

Jacqueline Urakami
Comparison fields: 5 of 70
  • Social Psychology 94
  • Artificial Intelligence 70
  • Human-Computer Interaction 44
  • Experimental and Cognitive Psychology 28
  • Cognitive Neuroscience 27
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Sungwoo Lee South Korea
Benedikt Leichtmann Germany
Emmanuel Johnson United States
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Citations per field, relative to Jacqueline Urakami
Jacqueline Urakami · 1×
Citations per year, relative to Jacqueline Urakami
Jacqueline Urakami · 1×

Countries citing papers authored by Jacqueline Urakami

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Urakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Urakami

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Urakami. A scholar is included among the top collaborators of Jacqueline Urakami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacqueline Urakami. Jacqueline Urakami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 6
4 0
5 3
6 1
7 1
8 43
9 3
10 6
11 6
12 3
13 6
14 7
15 4
16 17
17 2
18 4
19 10
20 9

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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