Keiko Kurata

2.1k citations
47 papers · 1.7k indexed · h-index 16

Keiko Kurata

43 papers receiving 1.6k citations

Peers

Keiko Kurata
Comparison fields: 5 of 111
  • Cognitive Neuroscience 1.3k
  • Neurology 307
  • Social Psychology 314
  • Statistics, Probability and Uncertainty 89
  • Library and Information Sciences 17
Replace Matthew S. Cain with:
Matthew S. Cain United States
Martin Wiener United States
Gilles Dutilh Switzerland
Brad Wyble United States
Jason Ivanoff Canada
Pascal Wurtz Switzerland
Tim Draws Netherlands
Pim Haselager Netherlands
Koen Derks Netherlands
Jon Scott United Kingdom
Keiko Kurata relative to Matthew S. Cain United States Matthew S. Cain's profile →
Citations per field
00.5×10×17×
Matthew S. Cain · 1×
Citations per year

Countries citing papers authored by Keiko Kurata

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Kurata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Keiko Kurata, 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 Keiko Kurata Line = papers co-authored together Keiko Kurata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20224
3 202027
4 20187
5
Health Information Seeking Behavior in Japan: Results of the 2008/2013 Survey
20151
6 201350
7 201210
8 20121
9 201114
10 200940
11
Re-Examination of Evidence-based Librarianship (EBL): A content analysis of journal articles
20081
12 20011
13 19961
14
[Role of cortical motor areas in voluntary movements].
19951
15 199310
16 1993192
17 198977
18 198525
19 1985166
20
Naevus bleu géant hémifacial avec pigmentation oculaire et buccale. Comparaison avec le naevus de Ota.
19661

About Keiko Kurata

Keiko Kurata is a scholar working on Information Systems and Management, Statistics, Probability and Uncertainty and Library and Information Sciences, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Research Data Management Practices (9 papers), EEG and Brain-Computer Interfaces (9 papers), scientometrics and bibliometrics research (8 papers), Motor Control and Adaptation (6 papers), Neural dynamics and brain function (6 papers), Academic Publishing and Open Access (5 papers), Muscle activation and electromyography studies (5 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Neurology (307 citations) and Social Psychology (314 citations). Keiko Kurata has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include J. Tanji, S.P. Wise, Donna S. Hoffman, Kazuhiko Okano, Shuichi Ueda, Yang Fang, Chidori Asagami, Kazue Nishioka, Kazunori Iwata and Yukiko Minami. Their work appears in journals such as Journal of Neurophysiology, Experimental Brain Research, Proceedings of the American Society for Information Science and Technology, Journal of the Medical Library Association JMLA and PLoS ONE.

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

Rankless by CCL
2026