Christina Bergmann

2.3k total citations · 2 hit papers
42 papers, 784 citations indexed

About

Christina Bergmann is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Christina Bergmann has authored 42 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Developmental and Educational Psychology, 14 papers in Experimental and Cognitive Psychology and 8 papers in Artificial Intelligence. Recurrent topics in Christina Bergmann's work include Language Development and Disorders (23 papers), Child and Animal Learning Development (13 papers) and Phonetics and Phonology Research (12 papers). Christina Bergmann is often cited by papers focused on Language Development and Disorders (23 papers), Child and Animal Learning Development (13 papers) and Phonetics and Phonology Research (12 papers). Christina Bergmann collaborates with scholars based in Netherlands, United States and Germany. Christina Bergmann's co-authors include Alejandrina Cristià, Sho Tsuji, Michael C. Frank, Krista Byers‐Heinlein, Victoria Savalei, Molly Lewis, Page Piccinini, Mika Braginsky, Mélanie Söderström and J. Kiley Hamlin and has published in prestigious journals such as PLoS ONE, Child Development and Scientific Reports.

In The Last Decade

Christina Bergmann

40 papers receiving 771 citations

Hit Papers

A Collaborative Approach ... 2017 2026 2020 2023 2017 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Bergmann Netherlands 14 464 181 148 138 95 42 784
Robin Panneton United States 9 259 0.6× 159 0.9× 127 0.9× 66 0.5× 80 0.8× 24 552
Hoben Thomas United States 21 376 0.8× 289 1.6× 234 1.6× 137 1.0× 129 1.4× 82 1.1k
Mélanie Söderström Canada 20 1.5k 3.2× 619 3.4× 357 2.4× 232 1.7× 118 1.2× 61 1.9k
Julien Mayor Norway 11 311 0.7× 87 0.5× 122 0.8× 101 0.7× 26 0.3× 44 478
Duncan McArthur United States 7 194 0.4× 63 0.3× 223 1.5× 80 0.6× 59 0.6× 10 539
Michael S. Carriger United States 7 470 1.0× 148 0.8× 221 1.5× 182 1.3× 202 2.1× 14 861
Caitlin M. Fausey United States 13 407 0.9× 316 1.7× 374 2.5× 66 0.5× 212 2.2× 29 988
Caroline Floccia United Kingdom 25 1.3k 2.7× 1.0k 5.6× 570 3.9× 74 0.5× 99 1.0× 58 1.9k
Amanda Seidl United States 19 988 2.1× 576 3.2× 254 1.7× 171 1.2× 21 0.2× 43 1.3k
Seamus Donnelly Australia 13 497 1.1× 104 0.6× 327 2.2× 131 0.9× 38 0.4× 21 739

Countries citing papers authored by Christina Bergmann

Since Specialization
Citations

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

Fields of papers citing papers by Christina Bergmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Bergmann

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Bergmann. A scholar is included among the top collaborators of Christina Bergmann 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 Christina Bergmann. Christina Bergmann 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.
Schreiner, Melanie S., Martin Zettersten, Christina Bergmann, et al.. (2024). Limited evidence of test‐retest reliability in infant‐directed speech preference in a large preregistered infant experiment. Developmental Science. 27(6). e13551–e13551. 1 indexed citations
2.
Silverstein, Priya, Christina Bergmann, & Moin Syed. (2024). Open science and metascience in developmental psychology: Introduction to the special issue. Infant and Child Development. 33(1). 1 indexed citations
3.
Zettersten, Martin, Christopher Martin Mikkelsen Cox, Christina Bergmann, et al.. (2024). Evidence for Infant-directed Speech Preference Is Consistent Across Large-scale, Multi-site Replication and Meta-analysis. Open Mind. 8. 439–461. 3 indexed citations
4.
Cox, Christopher Martin Mikkelsen, Christina Bergmann, Emma Fowler, et al.. (2022). A Systematic Review and Bayesian Meta-Analysis of the Acoustic Features of Infant-Directed Speech. PsyArXiv (OSF Preprints). 7 indexed citations
5.
Tsuji, Sho, et al.. (2022). Ten easy steps to conducting transparent, reproducible meta‐analyses for infant researchers. Infancy. 27(4). 736–764. 1 indexed citations
6.
Cox, Christopher Martin Mikkelsen, Christina Bergmann, Emma Fowler, et al.. (2022). A systematic review and Bayesian meta-analysis of the acoustic features of infant-directed speech. Nature Human Behaviour. 7(1). 114–133. 45 indexed citations
7.
Bergmann, Christina, Nevena Dimitrova, Suzanne Aussems, et al.. (2022). Young children’s screen time during the first COVID-19 lockdown in 12 countries. Scientific Reports. 12(1). 2015–2015. 81 indexed citations breakdown →
8.
Byers‐Heinlein, Krista, Christina Bergmann, & Victoria Savalei. (2021). Six solutions for more reliable infant research. Infant and Child Development. 31(5). 58 indexed citations
9.
Buckler, Helen, et al.. (2021). A Global Perspective on Testing Infants Online: Introducing ManyBabies-AtHome. Frontiers in Psychology. 12. 703234–703234. 18 indexed citations
10.
Havron, Naomi, Christina Bergmann, & Sho Tsuji. (2020). Preregistration in infant research—A primer. Infancy. 25(5). 734–754. 20 indexed citations
11.
Bergmann, Christina, Michael C. Frank, George Kachergis, et al.. (2020). ManyBabies Africa IDS. OSF Preprints (OSF Preprints). 2 indexed citations
12.
Schettino, Antonio, et al.. (2018). Academic job offers that mentioned open science. OSF Preprints (OSF Preprints). 6 indexed citations
13.
Tsuji, Sho, Christina Bergmann, Molly Lewis, et al.. (2017). MetaLab: A Repository for Meta-Analyses on Language Development, and More.. Conference of the International Speech Communication Association. 2038–2039. 5 indexed citations
14.
Black, Alexis K. & Christina Bergmann. (2017). Quantifying infants' statistical word segmentation: a meta-analysis.. Cognitive Science. 124–129. 23 indexed citations
15.
Bergmann, Christina, Sho Tsuji, & Alejandrina Cristià. (2017). Top-Down versus Bottom-Up Theories of Phonological Acquisition: A Big Data Approach. Zenodo (CERN European Organization for Nuclear Research). 2103–2107. 7 indexed citations
16.
Tsuji, Sho, et al.. (2016). Tutorial: Meta-Analytic Methods for Cognitive Science.. Cognitive Science. 1 indexed citations
17.
Bergmann, Christina, Michael C. Frank, Elika Bergelson, et al.. (2016). ManyBabies 1: Infant-Directed Speech Preference. OSF Preprints (OSF Preprints). 2 indexed citations
18.
Bergmann, Christina, et al.. (2011). Preschoolers' comprehension of pronouns and reflexives: the impact of the task. Journal of Child Language. 39(4). 777–803. 14 indexed citations
19.
Bergmann, Christina, Lou Boves, & Louis ten Bosch. (2011). Measuring word learning performance in computational models and infants. MPG.PuRe (Max Planck Society). 59. 1–6. 1 indexed citations
20.
Bergmann, Christina, et al.. (2010). Modelling the effect of speaker familiarity and noise on infant word recognition. Radboud Repository (Radboud University). 2910–2913. 2 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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