Ingmar Visser

2.7k total citations
71 papers, 1.4k citations indexed

About

Ingmar Visser is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Ingmar Visser has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Developmental and Educational Psychology, 19 papers in Artificial Intelligence and 18 papers in Cognitive Neuroscience. Recurrent topics in Ingmar Visser's work include Child and Animal Learning Development (21 papers), Bayesian Methods and Mixture Models (7 papers) and Cognitive and developmental aspects of mathematical skills (7 papers). Ingmar Visser is often cited by papers focused on Child and Animal Learning Development (21 papers), Bayesian Methods and Mixture Models (7 papers) and Cognitive and developmental aspects of mathematical skills (7 papers). Ingmar Visser collaborates with scholars based in Netherlands, United States and United Kingdom. Ingmar Visser's co-authors include Maarten Speekenbrink, Maartje E. J. Raijmakers, Hilde M. Huizenga, Peter C. M. Molenaar, Han L. J. van der Maas, Conor V. Dolan, Brenda R. J. Jansen, Bianca M.C.W. van Bers, Daniel J. Carroll and Emma Blakey and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Review.

In The Last Decade

Ingmar Visser

65 papers receiving 1.3k citations

Peers

Ingmar Visser

DEP

ECP

Torrin M. Liddell United States

Olivier Renaud Switzerland

Marjan Bakker Netherlands

Ravi Selker Netherlands

David Thomas Mellor United States

Jonathon Love Netherlands

Martin Šmíra Czechia

Alexander Etz United States

Julia M. Haaf Netherlands

Anne M. Scheel Netherlands

Torrin M. Liddell United States

Ingmar Visser

349 ×1.0

148 ×0.5

DEP

247 ×0.8

ECP

163 ×0.8

164 ×1.2

Citations per year, relative to Ingmar Visser Ingmar Visser (= 1×) peers Torrin M. Liddell

Countries citing papers authored by Ingmar Visser

Since Specialization

Citations

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

Fields of papers citing papers by Ingmar Visser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingmar Visser

This figure shows the co-authorship network connecting the top 25 collaborators of Ingmar Visser. A scholar is included among the top collaborators of Ingmar Visser 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 Ingmar Visser. Ingmar Visser 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

Gugushvili, Nino, Dominika Kwaśnicka, Jan Keller, et al.. (2025). A systematic review and meta-analysis demonstrating a positive effect of green exercise interventions on mental well-being. Current Research in Ecological and Social Psychology. 9. 100244–100244.

Speekenbrink, Maarten & Ingmar Visser. (2025). State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial. Psychometrika. 90(2). 476–507. 1 indexed citations

Messinger, Daniel S., et al.. (2024). Automated facial expression measurement in a longitudinal sample of 4- and 8-month-olds: Baby FaceReader 9 and manual coding of affective expressions. Behavior Research Methods. 56(6). 5709–5731. 2 indexed citations

Visser, Ingmar, Šimon Kucharský, Clara C. Levelt, et al.. (2023). Bayesian sample size planning for developmental studies. Infant and Child Development. 33(1). 5 indexed citations

Staaks, Janneke, Alithe L. van den Akker, Ingmar Visser, et al.. (2023). Development and socialization of self-regulation from infancy to adolescence: A meta-review differentiating between self-regulatory abilities, goals, and motivation. Developmental Review. 69. 101090–101090. 34 indexed citations

Visser, Ingmar, et al.. (2023). Latent Markov Models to Test the Strategy Use of 3-Year-Olds in a Rule-Based Feedback-Learning Task. Multivariate Behavioral Research. 59(6). 1123–1136.

Kucharský, Šimon, et al.. (2022). Characterising eye movement events with an unsupervised hidden markov model. Journal of Eye Movement Research. 15(1). 4 indexed citations

Visser, Ingmar, et al.. (2019). Real‐world scene perception in infants: What factors guide attention allocation?. Infancy. 24(5). 693–717. 17 indexed citations

Bayarri, M. J., James O. Berger, Woncheol Jang, et al.. (2019). Prior-based Bayesian information criterion. 3(1). 2–13. 2 indexed citations

10.

Schijndel, Tessa J.P. van, et al.. (2018). Investigating the development of causal inference by studying variability in 2- to 5-year-olds' behavior. PLoS ONE. 13(4). e0195019–e0195019. 3 indexed citations

11.

Raijmakers, Maartje E. J., et al.. (2017). Gazepath: An eye-tracking analysis tool that accounts for individual differences and data quality. Behavior Research Methods. 50(2). 834–852. 48 indexed citations

12.

Johnson, Scott P., et al.. (2016). Do infants have the horizontal bias?. Infant Behavior and Development. 44. 38–48. 26 indexed citations

13.

Bos, Elisabeth H., Klaas J. Wardenaar, Henk Jan Conradi, et al.. (2015). Major depressive disorder as a nonlinear dynamic system: bimodality in the frequency distribution of depressive symptoms over time. BMC Psychiatry. 15(1). 222–222. 45 indexed citations

14.

Schijndel, Tessa J.P. van, Ingmar Visser, Bianca M.C.W. van Bers, & Maartje E. J. Raijmakers. (2014). Preschoolers perform more informative experiments after observing theory-violating evidence. Journal of Experimental Child Psychology. 131. 104–119. 49 indexed citations

15.

Visser, Ingmar & Maartje E. J. Raijmakers. (2012). Developing Representations of Compound Stimuli. Frontiers in Psychology. 3. 73–73. 12 indexed citations

16.

Pronk, Thomas & Ingmar Visser. (2010). The role of reversal frequency in learning noisy second order conditional sequences. Consciousness and Cognition. 19(2). 627–635. 5 indexed citations

17.

Duijvenvoorde, Anna C. K. van, Brenda R. J. Jansen, Ingmar Visser, & Hilde M. Huizenga. (2010). Affective and Cognitive Decision-Making in Adolescents. Developmental Neuropsychology. 35(5). 539–554. 61 indexed citations

18.

Visser, Ingmar, Maartje E. J. Raijmakers, & Peter C. M. Molenaar. (2007). Characterizing sequence knowledge using online measures and hidden Markov models. Memory & Cognition. 35(6). 1502–1517. 18 indexed citations

19.

Schmittmann, Verena D., Maartje E. J. Raijmakers, Ingmar Visser, et al.. (2005). Multiple Learning Modes in the Development of Rule-Based Category-learning Task Performance. UvA-DARE (University of Amsterdam). 3 indexed citations

20.

Visser, Ingmar. (2002). Rules and associations : hidden Markov models and neural networks in the psychology of learning. UvA-DARE (University of Amsterdam). 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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