Gunter Maris

2.2k total citations
57 papers, 1.1k citations indexed

About

Gunter Maris is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Gunter Maris has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Science and Operations Research, 16 papers in Artificial Intelligence and 15 papers in Statistics and Probability. Recurrent topics in Gunter Maris's work include Psychometric Methodologies and Testing (15 papers), Mental Health Research Topics (8 papers) and Statistical Methods and Bayesian Inference (8 papers). Gunter Maris is often cited by papers focused on Psychometric Methodologies and Testing (15 papers), Mental Health Research Topics (8 papers) and Statistical Methods and Bayesian Inference (8 papers). Gunter Maris collaborates with scholars based in Netherlands, United States and Slovakia. Gunter Maris's co-authors include Han L. J. van der Maas, Timo Bechger, Maarten Marsman, Denny Borsboom, Maria Bolsinova, Dylan Molenaar, Rogier Kievit, Cees A. W. Glas, Lourens Waldorp and Joost Kruis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Review.

In The Last Decade

Gunter Maris

54 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gunter Maris Netherlands 18 398 312 238 203 191 57 1.1k
Minjeong Jeon United States 18 276 0.7× 360 1.2× 106 0.4× 107 0.5× 224 1.2× 73 1.0k
Joris Mulder Netherlands 24 403 1.0× 285 0.9× 233 1.0× 257 1.3× 589 3.1× 79 1.7k
Sun‐Joo Cho United States 19 177 0.4× 331 1.1× 173 0.7× 113 0.6× 288 1.5× 75 1.1k
Maria Bolsinova Netherlands 12 173 0.4× 236 0.8× 51 0.2× 85 0.4× 107 0.6× 41 492
Tao Xin China 18 238 0.6× 212 0.7× 44 0.2× 130 0.6× 123 0.6× 80 1.0k
Jorge N. Tendeiro Netherlands 18 132 0.3× 235 0.8× 50 0.2× 88 0.4× 180 0.9× 63 978
Laine Bradshaw United States 14 73 0.2× 293 0.9× 79 0.3× 218 1.1× 190 1.0× 18 698
Rianne Janssen Belgium 17 224 0.6× 276 0.9× 102 0.4× 51 0.3× 449 2.4× 73 1.4k
Steffi Pohl Germany 18 225 0.6× 393 1.3× 28 0.1× 76 0.4× 290 1.5× 53 965
Judith A. Spray United States 13 89 0.2× 373 1.2× 95 0.4× 91 0.4× 116 0.6× 39 829

Countries citing papers authored by Gunter Maris

Since Specialization
Citations

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

Fields of papers citing papers by Gunter Maris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunter Maris

This figure shows the co-authorship network connecting the top 25 collaborators of Gunter Maris. A scholar is included among the top collaborators of Gunter Maris 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 Gunter Maris. Gunter Maris 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.
Partchev, Ivailo, et al.. (2023). dexter: An R Package to Manage and Analyze Test Data. SHILAP Revista de lepidopterología. 5(2). 350–375.
2.
Boehm, Udo, Maarten Marsman, Han L. J. van der Maas, & Gunter Maris. (2021). An Attention-Based Diffusion Model for Psychometric Analyses. Psychometrika. 86(4). 938–972. 3 indexed citations
3.
Kruis, Joost, Gunter Maris, Maarten Marsman, Maria Bolsinova, & Han L. J. van der Maas. (2020). Deviations of rational choice: an integrative explanation of the endowment and several context effects. Scientific Reports. 10(1). 16226–16226. 9 indexed citations
4.
Bolsinova, Maria, et al.. (2020). A Rasch Model and Rating System for Continuous Responses Collected in Large-Scale Learning Systems. Frontiers in Psychology. 11. 500039–500039. 6 indexed citations
5.
Marsman, Maarten, et al.. (2019). The Wiring of Intelligence. Perspectives on Psychological Science. 14(6). 1034–1061. 43 indexed citations
6.
Hofman, Abe Dirk, et al.. (2019). Modeling Person-Specific Development of Math Skills in Continuous Time: New Evidence for Mutualism.. Educational Data Mining. 5 indexed citations
7.
Marsman, Maarten, et al.. (2019). Characterizing the Manifest Probability Distributions of Three Latent Trait Models for Accuracy and Response Time. Psychometrika. 84(3). 870–891. 2 indexed citations
8.
Yudelson, Michael, et al.. (2018). Assessment meets Learning: On the relation between Item Response Theory and Bayesian Knowledge Tracing. arXiv (Cornell University). 1 indexed citations
9.
Marsman, Maarten, et al.. (2017). Turning Simulation into Estimation: Generalized Exchange Algorithms for Exponential Family Models. PLoS ONE. 12(1). e0169787–e0169787. 6 indexed citations
10.
Zwitser, Robert, et al.. (2016). Monitoring Countries in a Changing World: A New Look at DIF in International Surveys. Psychometrika. 82(1). 210–232. 25 indexed citations
11.
Bolsinova, Maria & Gunter Maris. (2016). Can IRT Solve the Missing Data Problem in Test Equating?. Frontiers in Psychology. 6. 1956–1956. 5 indexed citations
12.
Zwitser, Robert & Gunter Maris. (2015). Ordering Individuals with Sum Scores: The Introduction of the Nonparametric Rasch Model. Psychometrika. 81(1). 39–59. 5 indexed citations
13.
Marsman, Maarten, Gunter Maris, Timo Bechger, & Cees A. W. Glas. (2015). Bayesian inference for low-rank Ising networks. Scientific Reports. 5(1). 9050–9050. 45 indexed citations
14.
Zhang, Shunan, et al.. (2014). Time-varying boundaries for diffusion models of decision making and response time. Frontiers in Psychology. 5. 1364–1364. 31 indexed citations
15.
Zwitser, Robert & Gunter Maris. (2013). Conditional Statistical Inference with Multistage Testing Designs. Psychometrika. 80(1). 65–84. 10 indexed citations
16.
Maas, Han L. J. van der, Dylan Molenaar, Gunter Maris, Rogier Kievit, & Denny Borsboom. (2011). Cognitive psychology meets psychometric theory: On the relation between process models for decision making and latent variable models for individual differences.. Psychological Review. 118(2). 339–356. 144 indexed citations
17.
Maris, Gunter & Timo Bechger. (2009). Equivalent Diagnostic Classification Models. Measurement Interdisciplinary Research and Perspectives. 7(1). 41–46. 18 indexed citations
18.
Maris, Gunter. (2007). A Note on “Constant Latent Odds-Ratios Models and the Mantel–Haenszel Null Hypothesis” Hessen, 2005. Psychometrika. 73(1). 153–157. 4 indexed citations
19.
Bechger, Timo & Gunter Maris. (2004). Structural Equation Modelling ofMultiple Facet Data: Extending Modelsfor Multitrait-Multimethod Data. Psicologica. 25(2). 253–274. 5 indexed citations
20.
Maris, Gunter & Eric Maris. (2003). Testing the race model inequality: A nonparametric approach. Journal of Mathematical Psychology. 47(5-6). 507–514. 23 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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