Njål Foldnes

1.2k total citations · 2 hit papers
41 papers, 831 citations indexed

About

Njål Foldnes is a scholar working on Statistics and Probability, Education and Management Science and Operations Research. According to data from OpenAlex, Njål Foldnes has authored 41 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 12 papers in Education and 11 papers in Management Science and Operations Research. Recurrent topics in Njål Foldnes's work include Statistical Methods and Bayesian Inference (10 papers), Psychometric Methodologies and Testing (10 papers) and Reading and Literacy Development (9 papers). Njål Foldnes is often cited by papers focused on Statistical Methods and Bayesian Inference (10 papers), Psychometric Methodologies and Testing (10 papers) and Reading and Literacy Development (9 papers). Njål Foldnes collaborates with scholars based in Norway, United States and United Kingdom. Njål Foldnes's co-authors include Steffen Grønneberg, Ulf Olsson, Oddny Judith Solheim, Bente Rigmor Walgermo, Knut A. Hagtvet, Per Henning Uppstad, Katerina M. Marcoulides, Geir Dahl, Luı́s Gouveia and Erin M. McTigue and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Psychological Methods.

In The Last Decade

Njål Foldnes

37 papers receiving 790 citations

Hit Papers

The flipped classroom and cooperative learning: Evidence ... 2016 2026 2019 2022 2016 2017 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Njål Foldnes Norway 15 423 180 151 96 95 41 831
Theo J. H. M. Eggen Netherlands 15 645 1.5× 103 0.6× 217 1.4× 130 1.4× 402 4.2× 44 1.2k
Linda S. Steinberg United States 17 570 1.3× 115 0.6× 217 1.4× 61 0.6× 470 4.9× 33 1.3k
Hong Jiao United States 16 231 0.5× 159 0.9× 327 2.2× 136 1.4× 150 1.6× 48 850
Kathleen Scalise United States 14 500 1.2× 37 0.2× 57 0.4× 24 0.3× 240 2.5× 38 795
Yi‐Hsuan Lee United States 14 130 0.3× 114 0.6× 216 1.4× 126 1.3× 71 0.7× 53 546
G. Gage Kingsbury United States 11 224 0.5× 85 0.5× 362 2.4× 147 1.5× 112 1.2× 30 879
Ulf Kroehne Germany 15 149 0.4× 44 0.2× 123 0.8× 45 0.5× 160 1.7× 36 615
Tim Davey United States 13 123 0.3× 37 0.2× 230 1.5× 120 1.3× 98 1.0× 28 500
Xiaojing Kong United States 8 239 0.6× 69 0.4× 260 1.7× 76 0.8× 150 1.6× 11 731
Jennifer Bekki United States 15 156 0.4× 28 0.2× 65 0.4× 17 0.2× 21 0.2× 60 529

Countries citing papers authored by Njål Foldnes

Since Specialization
Citations

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

Fields of papers citing papers by Njål Foldnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Njål Foldnes

This figure shows the co-authorship network connecting the top 25 collaborators of Njål Foldnes. A scholar is included among the top collaborators of Njål Foldnes 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 Njål Foldnes. Njål Foldnes 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
1.
Foldnes, Njål, Per Henning Uppstad, Steffen Grønneberg, & Jenny Thomson. (2024). School entry detection of struggling readers using gameplay data and machine learning. Frontiers in Education. 9. 1 indexed citations
2.
Foldnes, Njål, et al.. (2024). Relations between linguistic diversity, classroom social climate, and reading comprehension in Norwegian elementary classrooms. Scandinavian Journal of Educational Research. 69(4). 682–697.
3.
Foldnes, Njål, et al.. (2024). Measuring digital stress in Norway: translation and validation of the Digital Stressors Scale. Frontiers in Psychology. 15. 1297194–1297194. 1 indexed citations
4.
Solheim, Oddny Judith, et al.. (2023). Norwegian classroom teachers’ and specialized “resource” teachers’ dyslexia knowledge. Reading and Writing. 37(10). 2619–2641. 1 indexed citations
5.
Walgermo, Bente Rigmor, et al.. (2023). Adaptvurder: Study Protocol for an Upcoming Adaptive Reading Test. SHILAP Revista de lepidopterología. 9(1). 59–72.
6.
Grønneberg, Steffen & Njål Foldnes. (2022). Factor analyzing ordinal items requires substantive knowledge of response marginals.. Psychological Methods. 29(1). 65–87. 11 indexed citations
7.
Foldnes, Njål, et al.. (2022). Levels of skills and predictive patterns of reading comprehension in bilingual children with an early age of acquisition. Reading and Writing. 35(10). 2365–2387. 7 indexed citations
8.
Foldnes, Njål & Steffen Grønneberg. (2021). The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.. Psychological Methods. 27(4). 541–567. 22 indexed citations
9.
Foldnes, Njål, et al.. (2021). Exploring the association between occupational complexity and numeracy. Large-scale Assessments in Education. 9(1). 1 indexed citations
10.
Foldnes, Njål & Steffen Grønneberg. (2021). Non-normal Data Simulation using Piecewise Linear Transforms. Structural Equation Modeling A Multidisciplinary Journal. 29(1). 36–46. 4 indexed citations
11.
Grønneberg, Steffen, et al.. (2020). Partial Identification of Latent Correlations with Binary Data. Psychometrika. 85(4). 1028–1051. 3 indexed citations
12.
Thomson, Jenny, et al.. (2020). Can children's instructional gameplay activity be used as a predictive indicator of reading skills?. Learning and Instruction. 68. 101348–101348. 10 indexed citations
13.
Grønneberg, Steffen & Njål Foldnes. (2019). A Problem with Discretizing Vale–Maurelli in Simulation Studies. Psychometrika. 84(2). 554–561. 14 indexed citations
14.
Foldnes, Njål & Steffen Grønneberg. (2019). On Identification and Non-normal Simulation in Ordinal Covariance and Item Response Models. Psychometrika. 84(4). 1000–1017. 13 indexed citations
15.
Foldnes, Njål & Steffen Grønneberg. (2019). Pernicious Polychorics: The Impact and Detection of Underlying Non-normality. Structural Equation Modeling A Multidisciplinary Journal. 27(4). 525–543. 25 indexed citations
16.
Walgermo, Bente Rigmor, Njål Foldnes, Per Henning Uppstad, & Oddny Judith Solheim. (2018). Developmental dynamics of early reading skill, literacy interest and readers’ self-concept within the first year of formal schooling. Reading and Writing. 31(6). 1379–1399. 43 indexed citations
17.
Grønneberg, Steffen & Njål Foldnes. (2017). Covariance Model Simulation Using Regular Vines. Psychometrika. 82(4). 1035–1051. 20 indexed citations
18.
Foldnes, Njål & Ulf Olsson. (2015). Correcting Too Much or Too Little? The Performance of Three Chi-Square Corrections. Multivariate Behavioral Research. 50(5). 533–543. 20 indexed citations
19.
Foldnes, Njål & Knut A. Hagtvet. (2014). The choice of product indicators in latent variable interaction models: Post hoc analyses.. Psychological Methods. 19(3). 444–457. 31 indexed citations
20.
Foldnes, Njål & Steffen Grønneberg. (2014). How General is the Vale–Maurelli Simulation Approach?. Psychometrika. 80(4). 1066–1083. 35 indexed citations

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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