Augustin Kelava

3.1k total citations · 1 hit paper
69 papers, 1.9k citations indexed

About

Augustin Kelava is a scholar working on Experimental and Cognitive Psychology, Education and Developmental and Educational Psychology. According to data from OpenAlex, Augustin Kelava has authored 69 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Experimental and Cognitive Psychology, 14 papers in Education and 12 papers in Developmental and Educational Psychology. Recurrent topics in Augustin Kelava's work include Mental Health Research Topics (13 papers), Advanced Statistical Modeling Techniques (11 papers) and Psychometric Methodologies and Testing (7 papers). Augustin Kelava is often cited by papers focused on Mental Health Research Topics (13 papers), Advanced Statistical Modeling Techniques (11 papers) and Psychometric Methodologies and Testing (7 papers). Augustin Kelava collaborates with scholars based in Germany, United States and Australia. Augustin Kelava's co-authors include Helfried Moosbrugger, Holger Brandt, Benjamin Nagengast, Karin Schermelleh-Engel, Daniel Leyhr, Oliver Höner, Ulrich Trautwein, Stephan Fichtlscherer, Stefan H. Hohnloser and Salvatore De Rosa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Science.

In The Last Decade

Augustin Kelava

68 papers receiving 1.8k citations

Hit Papers

Testtheorie und Fragebogenkonstruktion 2011 2026 2016 2021 2011 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
Augustin Kelava Germany 22 429 402 352 328 217 69 1.9k
Grant B. Morgan United States 20 383 0.9× 297 0.7× 410 1.2× 273 0.8× 455 2.1× 93 2.0k
W. Todd Rogers Canada 22 219 0.5× 413 1.0× 540 1.5× 373 1.1× 160 0.7× 83 1.9k
Edward T. Cokely United States 27 341 0.8× 133 0.3× 345 1.0× 238 0.7× 122 0.6× 74 3.2k
Randall D. Penfield United States 28 269 0.6× 693 1.7× 293 0.8× 488 1.5× 262 1.2× 68 2.1k
Jonna M. Kulikowich United States 23 548 1.3× 1.2k 2.9× 267 0.8× 1.4k 4.2× 91 0.4× 66 2.6k
Nicholas D. Myers United States 26 195 0.5× 211 0.5× 1.2k 3.4× 847 2.6× 380 1.8× 103 2.4k
Myeongsun Yoon United States 17 241 0.6× 248 0.6× 237 0.7× 172 0.5× 373 1.7× 38 1.4k
Walter L. Leite United States 26 267 0.6× 575 1.4× 363 1.0× 431 1.3× 387 1.8× 109 2.5k
Mark H. Stone United States 12 197 0.5× 473 1.2× 211 0.6× 295 0.9× 293 1.4× 50 2.0k
R. Philip Chalmers Canada 15 493 1.1× 304 0.8× 382 1.1× 214 0.7× 519 2.4× 31 2.4k

Countries citing papers authored by Augustin Kelava

Since Specialization
Citations

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

Fields of papers citing papers by Augustin Kelava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Augustin Kelava

This figure shows the co-authorship network connecting the top 25 collaborators of Augustin Kelava. A scholar is included among the top collaborators of Augustin Kelava 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 Augustin Kelava. Augustin Kelava 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.
Pawlowski, Tim, et al.. (2024). An Alternative Prior for Estimation in High-Dimensional Settings. Structural Equation Modeling A Multidisciplinary Journal. 31(6). 939–951. 2 indexed citations
3.
Kelava, Augustin, et al.. (2023). Parameter Estimation of KST-IRT Model under Local Dependence. SHILAP Revista de lepidopterología. 5(3). 908–927. 2 indexed citations
4.
Nagel, Michael, et al.. (2023). Celebration Beats Frustration: Emotional Cues and Alcohol Use During Soccer Matches. SSRN Electronic Journal. 5 indexed citations
7.
Sudeck, Gorden, et al.. (2022). Acute effects of a motor coordination intervention on executive functions in kindergartners: a proof-of-concept randomized controlled trial. Pilot and Feasibility Studies. 8(1). 185–185. 8 indexed citations
8.
Kelava, Augustin, et al.. (2022). Teachers and trainers in adult education–Investigating the dimensionality of their knowledge about methods and concepts of teaching and learning. SHILAP Revista de lepidopterología. 45(1). 107–132. 2 indexed citations
9.
Feißt, Manuel, André Hennigs, Jörg Heil, et al.. (2019). Refining scores based on patient reported outcomes – statistical and medical perspectives. BMC Medical Research Methodology. 19(1). 167–167. 50 indexed citations
10.
Brandt, Holger, et al.. (2019). Comparing estimators for latent interaction models under structural and distributional misspecifications.. Psychological Methods. 25(3). 321–345. 18 indexed citations
11.
Hennigs, André, Jörg Heil, Annette Wagner, et al.. (2018). Development and psychometric validation of a shorter version of the Breast Cancer Treatment Outcome Scale (BCTOS-12). The Breast. 38. 58–65. 13 indexed citations
12.
Noventa, Stefano, Andrea Spoto, Jürgen Heller, & Augustin Kelava. (2018). On a Generalization of Local Independence in Item Response Theory Based on Knowledge Space Theory. Psychometrika. 84(2). 395–421. 11 indexed citations
13.
Brandt, Holger, Jenna Cambria, & Augustin Kelava. (2018). An Adaptive Bayesian Lasso Approach with Spike-and-Slab Priors to Identify Multiple Linear and Nonlinear Effects in Structural Equation Models. Structural Equation Modeling A Multidisciplinary Journal. 25(6). 946–960. 17 indexed citations
14.
Merk, Samuel, et al.. (2017). Teacher students’ epistemic beliefs about general pedagogical knowledge: Topic-, source- and context specificity. 9(1). 169–189. 1 indexed citations
15.
Höner, Oliver, Daniel Leyhr, & Augustin Kelava. (2017). The influence of speed abilities and technical skills in early adolescence on adult success in soccer: A long-term prospective analysis using ANOVA and SEM approaches. PLoS ONE. 12(8). e0182211–e0182211. 79 indexed citations
16.
Brandt, Holger, et al.. (2017). Fitting Nonlinear Structural Equation Models in R with Package nlsem. Journal of Statistical Software. 77(7). 22 indexed citations
17.
Kelava, Augustin, et al.. (2015). A new approach for the quantification of synchrony of multivariate non-stationary psychophysiological variables during emotion eliciting stimuli. Frontiers in Psychology. 5. 1507–1507. 5 indexed citations
18.
Brandt, Holger, Augustin Kelava, & Andreas Klein. (2014). A Simulation Study Comparing Recent Approaches for the Estimation of Nonlinear Effects in SEM Under the Condition of Nonnormality. Structural Equation Modeling A Multidisciplinary Journal. 21(2). 181–195. 27 indexed citations
19.
Kelava, Augustin & Benjamin Nagengast. (2012). A Bayesian Model For The Estimation Of Latent Interaction And Quadratic Effects When Latent Variables Are Non-Normally Distributed. Multivariate Behavioral Research. 47(5). 717–742. 27 indexed citations
20.
Erkapic, Damir, Salvatore De Rosa, Augustin Kelava, et al.. (2011). Risk for Permanent Pacemaker After Transcatheter Aortic Valve Implantation: A Comprehensive Analysis of the Literature. Journal of Cardiovascular Electrophysiology. 23(4). 391–397. 167 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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