Torstein Låg

720 citations
12 papers · 442 · h-index 9

Impact in

Papers in

    • Neural and Behavioral Psychology Studies 3
    • Face Recognition and Perception 2
    • Memory and Neural Mechanisms 2
    • Visual perception and processing mechanisms 1
    • Online and Blended Learning 3
    • Innovative Teaching Methods 3
    • Education and Critical Thinking Development 2

Torstein Låg

12 papers receiving 430 citations

Peers

Torstein Låg
Comparison fields: 5 of 84
  • Education 170
  • Developmental and Educational Psychology 65
  • Cognitive Neuroscience 96
  • Experimental and Cognitive Psychology 62
  • Computer Science Applications 27
Replace Melissa J. Hawthorne with:
Melissa J. Hawthorne United States
Gregory M. Donoghue Australia
Markus Spitzer Germany
James A. Kole United States
Yannis Papagerasimou Greece
Elizabeth Rellinger United States
Christopher T. Ball United States
John Sappington United States
Edward L. Thorndike United States
Lei Jia China
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Citations per field
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Melissa J. Hawthorne · 1×
Citations per year

Countries citing papers authored by Torstein Låg

Since Specialization
Citations

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

Fields of papers citing papers by Torstein Låg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Torstein Låg, 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 Torstein Låg Line = papers co-authored together Torstein Låg links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2019166
2 201971
3 201350
4 202130
5 200528
6 200528
7 200723
8 200520
9 202318
10 20216
11 20161
12 20181

About Torstein Låg

Torstein Låg is a scholar working on Cognitive Neuroscience, Education, Developmental and Educational Psychology, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 442 indexed citations. Recurring topics across this work include Online and Blended Learning (3 papers), Innovative Teaching Methods (3 papers), Neural and Behavioral Psychology Studies (3 papers), Face Recognition and Perception (2 papers), Education and Critical Thinking Development (2 papers), Memory and Neural Mechanisms (2 papers), Simulation-Based Education in Healthcare (1 paper) and Visual perception and processing mechanisms (1 paper). The work is most often cited by research in Education (170 citations), Developmental and Educational Psychology (65 citations), Cognitive Neuroscience (96 citations), Experimental and Cognitive Psychology (62 citations) and Computer Science Applications (27 citations). Torstein Låg has collaborated with scholars based in Norway. Frequent co-authors include Rannveig Grøm Sæle, Bruno Laeng, Tove I. Dahl, Oddgeir Friborg, Martin Lindberg, Elisabeth Norman, Gerit Pfuhl, Frode Svartdal, Tim Brennen and Rune Aune Mentzoni. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, Review of General Psychology, Journal of Information Literacy, Cortex and Journal of Cognitive Neuroscience.

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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