Steffen Grønneberg

524 total citations
23 papers, 354 citations indexed

About

Steffen Grønneberg is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Steffen Grønneberg has authored 23 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 8 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in Steffen Grønneberg's work include Statistical Methods and Bayesian Inference (8 papers), Psychometric Methodologies and Testing (8 papers) and Bayesian Modeling and Causal Inference (5 papers). Steffen Grønneberg is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Psychometric Methodologies and Testing (8 papers) and Bayesian Modeling and Causal Inference (5 papers). Steffen Grønneberg collaborates with scholars based in Norway, United States and Germany. Steffen Grønneberg's co-authors include Njål Foldnes, Nils Lid Hjort, Genaro Sucarrat, Katerina M. Marcoulides, Álvaro Escribano, Jenny Thomson and Per Henning Uppstad and has published in prestigious journals such as The Annals of Statistics, Psychological Methods and Journal of Statistical Software.

In The Last Decade

Steffen Grønneberg

23 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steffen Grønneberg Norway 12 147 120 75 62 60 23 354
Jorge L. Bazán Brazil 14 409 2.8× 120 1.0× 44 0.6× 24 0.4× 124 2.1× 59 593
Engin A. Sungur United States 11 184 1.3× 39 0.3× 17 0.2× 110 1.8× 51 0.8× 27 376
Sik‐Yum Lee Hong Kong 10 381 2.6× 94 0.8× 42 0.6× 13 0.2× 158 2.6× 13 517
Yashaswini Mittal United States 7 87 0.6× 69 0.6× 12 0.2× 83 1.3× 53 0.9× 10 312
Angelo Mazza Italy 10 91 0.6× 37 0.3× 12 0.2× 25 0.4× 92 1.5× 26 281
Silvia Angela Osmetti Italy 9 38 0.3× 32 0.3× 10 0.1× 102 1.6× 69 1.1× 29 324
Alex Koning Netherlands 7 48 0.3× 143 1.2× 6 0.1× 26 0.4× 29 0.5× 23 273
Vytaras Brazauskas United States 13 314 2.1× 221 1.8× 17 0.2× 239 3.9× 59 1.0× 48 525
David Pitt Australia 11 33 0.2× 54 0.5× 5 0.1× 40 0.6× 53 0.9× 46 325

Countries citing papers authored by Steffen Grønneberg

Since Specialization
Citations

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

Fields of papers citing papers by Steffen Grønneberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffen Grønneberg

This figure shows the co-authorship network connecting the top 25 collaborators of Steffen Grønneberg. A scholar is included among the top collaborators of Steffen Grønneberg 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 Steffen Grønneberg. Steffen Grønneberg 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.
Grønneberg, Steffen, et al.. (2024). Non-parametric Regression Among Factor Scores: Motivation and Diagnostics for Nonlinear Structural Equation Models. Psychometrika. 89(3). 822–850. 2 indexed citations
3.
Foldnes, Njål, et al.. (2024). Improved Goodness of Fit Procedures for Structural Equation Models. Structural Equation Modeling A Multidisciplinary Journal. 32(1). 1–13. 3 indexed citations
4.
Grønneberg, Steffen, et al.. (2023). Partial Identification of Latent Correlations with Ordinal Data. Psychometrika. 88(1). 241–252. 4 indexed citations
5.
Grønneberg, Steffen & Njål Foldnes. (2022). Factor analyzing ordinal items requires substantive knowledge of response marginals.. Psychological Methods. 29(1). 65–87. 11 indexed citations
6.
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
7.
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
8.
Grønneberg, Steffen, et al.. (2020). Partial Identification of Latent Correlations with Binary Data. Psychometrika. 85(4). 1028–1051. 3 indexed citations
9.
Sucarrat, Genaro & Steffen Grønneberg. (2020). Risk Estimation with a Time-Varying Probability of Zero Returns. Journal of Financial Econometrics. 20(2). 278–309. 11 indexed citations
10.
Grønneberg, Steffen & Njål Foldnes. (2019). A Problem with Discretizing Vale–Maurelli in Simulation Studies. Psychometrika. 84(2). 554–561. 14 indexed citations
11.
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
12.
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
13.
Grønneberg, Steffen, et al.. (2019). On partial-sum processes of ARMAX residuals. The Annals of Statistics. 47(6). 4 indexed citations
14.
Marcoulides, Katerina M., Njål Foldnes, & Steffen Grønneberg. (2019). Assessing Model Fit in Structural Equation Modeling Using Appropriate Test Statistics. Structural Equation Modeling A Multidisciplinary Journal. 27(3). 369–379. 30 indexed citations
15.
Grønneberg, Steffen & Njål Foldnes. (2018). Testing Model Fit by Bootstrap Selection. Structural Equation Modeling A Multidisciplinary Journal. 26(2). 182–190. 16 indexed citations
16.
Grønneberg, Steffen & Njål Foldnes. (2017). Covariance Model Simulation Using Regular Vines. Psychometrika. 82(4). 1035–1051. 20 indexed citations
17.
Foldnes, Njål & Steffen Grønneberg. (2017). The Asymptotic Covariance Matrix and its Use in Simulation Studies. Structural Equation Modeling A Multidisciplinary Journal. 24(6). 881–896. 11 indexed citations
18.
Foldnes, Njål & Steffen Grønneberg. (2014). How General is the Vale–Maurelli Simulation Approach?. Psychometrika. 80(4). 1066–1083. 35 indexed citations
19.
Grønneberg, Steffen & Genaro Sucarrat. (2014). Risk Estimation when the Zero Probability of Financial Return is Time-Varying. Universitas Pasundan institutional repositories & scientific journals (Universitas Pasundan). 3 indexed citations
20.
Grønneberg, Steffen & Nils Lid Hjort. (2014). The Copula Information Criteria. Scandinavian Journal of Statistics. 41(2). 436–459. 62 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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