Taehee Noh

109 papers receiving 687 citations

Peers

Taehee Noh
Comparison fields: 5 of 98
  • Developmental and Educational Psychology 276
  • Safety Research 170
  • Education 490
  • Computer Networks and Communications 190
  • Information Systems 165
Replace Ömer Geban with:
Ömer Geban Türkiye
Robert E. Bleicher United States
Howard Kimmel United States
Hanno van Keulen Netherlands
Brian P. Coppola United States
Patrick J. Garnett Australia
David W. Brooks United States
Michael R. Abraham United States
Panayiotis Antoniou Cyprus
Jinwoong Song South Korea
Taehee Noh relative to Ömer Geban Türkiye Ömer Geban's profile →
Citations per field
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Citations per year

Countries citing papers authored by Taehee Noh

Since Specialization
Citations

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

Fields of papers citing papers by Taehee Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004107
2 2004101
3
Cognitive conflict and situational interest as factors influencing conceptual change
201078
4 199769
5 200567
6 198842
7 200527
8 199718
9 200417
10 199616
11 199016
12 199814
13 201311
14 199310
15 20018
16 19948
17 20116
18
The Effect of Computer-Assisted Instruction Using Molecular-Level Animation and Worksheet in High School Chemistry Class.
19996
19 20105
20
The Differences between the Image of Scientists and Self-Image in Terms of Sex-Role and Their Relationships with Science-Related Attitudes
19965

About Taehee Noh

Taehee Noh is a scholar working on Safety Research, Computer Networks and Communications, Information Systems, Education and Organic Chemistry, having authored 171 papers that have together received 887 indexed citations. Recurring topics across this work include Education, Safety, and Science Studies (103 papers), Educational Research and Pedagogy (102 papers), Education and Learning Interventions (69 papers), Educational Systems and Policies (43 papers), Science Education and Pedagogy (30 papers), Radical Photochemical Reactions (12 papers), Science Education and Perceptions (8 papers) and Diverse Educational Innovations Studies (7 papers). The work is most often cited by research in Developmental and Educational Psychology (276 citations), Safety Research (170 citations), Education (490 citations), Computer Networks and Communications (190 citations) and Information Systems (165 citations). Taehee Noh has collaborated with scholars based in South Korea and United States. Frequent co-authors include Lawrence C. Scharmann, Sukjin Kang, Daekyun Kim, N. C. YANG, Bruce J. Hrnjez, Hong Gan, Douglas Huffman, Heejun Lim, Nicholas J. Turro and Yong‐Jae Kim. Their work appears in journals such as Journal of the American Chemical Society, International Journal of Science Education, Journal of the Chemical Society Perkin Transactions 1, Current Applied Physics and Journal of the Korean Chemical Society.

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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