Holger Brandt

1.0k total citations
32 papers, 619 citations indexed

About

Holger Brandt is a scholar working on Experimental and Cognitive Psychology, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Holger Brandt has authored 32 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Experimental and Cognitive Psychology, 12 papers in Statistics and Probability and 5 papers in Computer Networks and Communications. Recurrent topics in Holger Brandt's work include Mental Health Research Topics (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Modeling Techniques (5 papers). Holger Brandt is often cited by papers focused on Mental Health Research Topics (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Modeling Techniques (5 papers). Holger Brandt collaborates with scholars based in Germany, United States and Switzerland. Holger Brandt's co-authors include Augustin Kelava, Benjamin Nagengast, Jenna Cambria, Claudia Nickel, Christoph Busch, Ulrich Trautwein, Barbara Flunger, Herbert W. Marsh, Isabelle Häfner and Anna‐Lena Dicke and has published in prestigious journals such as Transplantation, Frontiers in Psychology and Psychological Methods.

In The Last Decade

Holger Brandt

29 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Holger Brandt Germany	15	208	132	121	114	71	32	619
Andrew Maul United States	14	136 0.7×	201 1.5×	217 1.8×	25 0.2×	61 0.9×	39	718
Alan D. Mead United States	9	129 0.6×	153 1.2×	146 1.2×	54 0.5×	205 2.9×	15	809
Zhehan Jiang United States	12	63 0.3×	70 0.5×	47 0.4×	102 0.9×	145 2.0×	59	576
Anne Corinne Huggins‐Manley United States	13	52 0.3×	176 1.3×	62 0.5×	71 0.6×	132 1.9×	52	615
Ji Seung Yang United States	12	272 1.3×	227 1.7×	565 4.7×	103 0.9×	179 2.5×	37	1.1k
Lutz F. Hornke Germany	9	144 0.7×	59 0.4×	87 0.7×	42 0.4×	126 1.8×	29	430
Ernest C. Davenport United States	14	73 0.4×	201 1.5×	65 0.5×	62 0.5×	61 0.9×	36	509
Xiaojing Kong United States	8	229 1.1×	239 1.8×	142 1.2×	69 0.6×	260 3.7×	11	731
Leo J. Th. van der Kamp Netherlands	10	120 0.6×	86 0.7×	60 0.5×	27 0.2×	33 0.5×	13	597

Countries citing papers authored by Holger Brandt

Since Specialization

Citations

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

Fields of papers citing papers by Holger Brandt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holger Brandt

This figure shows the co-authorship network connecting the top 25 collaborators of Holger Brandt. A scholar is included among the top collaborators of Holger Brandt 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 Holger Brandt. Holger Brandt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Brandt, Holger, et al.. (2025). Are Bayesian regularization methods a must for multilevel dynamic latent variables models?. Behavior Research Methods. 57(2). 71–71.

Brandt, Holger. (2024). Causal definitions versus casual estimation: Reply to Valente et al. (2022).. Psychological Methods. 29(3). 589–602.

Kelava, Augustin, et al.. (2023). On the Requirements of Non-linear Dynamic Latent Class SEM: A Simulation Study with Varying Numbers of Subjects and Time Points. Structural Equation Modeling A Multidisciplinary Journal. 30(5). 789–806. 2 indexed citations

Brandt, Holger, et al.. (2023). Bayesian penalty methods for evaluating measurement invariance in moderated nonlinear factor analysis.. Psychological Methods. 30(3). 482–512. 6 indexed citations

Brandt, Holger, et al.. (2022). Automated Bot Detection Using Bayesian Latent Class Models in Online Surveys. Frontiers in Psychology. 13. 789223–789223. 8 indexed citations

Kelava, Augustin, et al.. (2022). Forecasting Intra-individual Changes of Affective States Taking into Account Inter-individual Differences Using Intensive Longitudinal Data from a University Student Dropout Study in Math. Psychometrika. 87(2). 533–558. 4 indexed citations

Flückiger, Christoph, Adam O. Horvath, & Holger Brandt. (2021). The evolution of patients’ concept of the alliance and its relation to outcome: A dynamic latent-class structural equation modeling approach.. Journal of Counseling Psychology. 69(1). 51–62. 18 indexed citations

Chen, Po‐Yi, Wei Wu, Holger Brandt, & Fan Jia. (2020). Addressing missing data in specification search in measurement invariance testing with Likert-type scale variables: A comparison of two approaches. Behavior Research Methods. 52(6). 2567–2587. 4 indexed citations

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

10.

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

11.

Brandt, Holger, et al.. (2017). Fitting Nonlinear Structural Equation Models in R with Package nlsem. Journal of Statistical Software. 77(7). 22 indexed citations

12.

Brandt, Holger & Andreas Klein. (2015). A Heterogeneous Growth Curve Model for Nonnormal Data. Multivariate Behavioral Research. 50(4). 416–435. 2 indexed citations

13.

Rohrmann, Sabine, et al.. (2014). Validation of the STAXI-2: A study with prison inmates. 56(2). 178–194. 15 indexed citations

14.

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

15.

Brenner, Thorsten, Holger Brandt, Felix C. F. Schmitt, et al.. (2012). Cell Death Biomarkers as Early Predictors for Hepatic Dysfunction in Patients After Orthotopic Liver Transplantation. Transplantation. 94(2). 185–191. 10 indexed citations

16.

Nickel, Claudia, Holger Brandt, & Christoph Busch. (2011). Benchmarking the performance of SVMs and HMMs for accelerometer-based biometric gait recognition. 281–286. 24 indexed citations

17.

Senf, Bianca, et al.. (2010). Psychosocial distress in acute cancer patients assessed with an expert rating scale. Supportive Care in Cancer. 18(8). 957–965. 22 indexed citations

18.

Kelava, Augustin & Holger Brandt. (2009). Estimation of nonlinear latent structural equation models using the extended unconstrained approach. University of Zagreb University Computing Centre (SRCE). 16(2). 123–132. 30 indexed citations

19.

Brandt, Holger, et al.. (1953). Apparatur für genaue Druck‐ und Temperaturregelung bei Rektifikationen und bei der Messung von Verdampfungsgleichgewichten. Chemie Ingenieur Technik. 25(8-9). 511–514. 3 indexed citations

20.

Jost, W., et al.. (1953). Kolonnen mit rotierendem Zylinder für hohe Trennleistung bei mäßigen Drehzahlen. Chemie Ingenieur Technik. 25(6). 291–292. 1 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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