Ansgar D. Endress

2.7k total citations · 1 hit paper
40 papers, 1.7k citations indexed

About

Ansgar D. Endress is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Ansgar D. Endress has authored 40 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Developmental and Educational Psychology, 18 papers in Cognitive Neuroscience and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Ansgar D. Endress's work include Language Development and Disorders (18 papers), Child and Animal Learning Development (13 papers) and Language and cultural evolution (10 papers). Ansgar D. Endress is often cited by papers focused on Language Development and Disorders (18 papers), Child and Animal Learning Development (13 papers) and Language and cultural evolution (10 papers). Ansgar D. Endress collaborates with scholars based in United States, United Kingdom and Italy. Ansgar D. Endress's co-authors include Jacques Mehler, Ágnes Melinda Kovács, Ernő Téglás, Michael A. Hauser, Luca L. Bonatti, Mary C. Potter, Marina Nespor, Brian J. Scholl, Ghislaine Dehaene‐Lambertz and Jean‐Rémy Hochmann and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Psychological Bulletin.

In The Last Decade

Ansgar D. Endress

39 papers receiving 1.6k citations

Hit Papers

The Social Sense: Suscept... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ansgar D. Endress United States 19 1.1k 718 416 313 264 40 1.7k
Gert Westermann United Kingdom 20 934 0.8× 646 0.9× 430 1.0× 297 0.9× 122 0.5× 90 1.6k
Jonathan A. Slemmer United States 8 905 0.8× 568 0.8× 334 0.8× 196 0.6× 106 0.4× 11 1.4k
Luca L. Bonatti Spain 18 1.2k 1.0× 631 0.9× 456 1.1× 145 0.5× 167 0.6× 31 1.6k
John R. Vokey Canada 20 528 0.5× 858 1.2× 363 0.9× 342 1.1× 78 0.3× 50 1.4k
Deborah G. Kemler Nelson United States 20 2.0k 1.7× 652 0.9× 965 2.3× 313 1.0× 146 0.6× 33 2.4k
Athena Vouloumanos United States 24 1.4k 1.2× 1.0k 1.4× 737 1.8× 187 0.6× 151 0.6× 44 2.2k
Arnaud Rey France 22 898 0.8× 718 1.0× 313 0.8× 137 0.4× 148 0.6× 61 1.4k
Bruno Galantucci United States 16 478 0.4× 997 1.4× 738 1.8× 674 2.2× 430 1.6× 31 2.0k
Anne S. Warlaumont United States 19 863 0.8× 319 0.4× 295 0.7× 140 0.4× 118 0.4× 52 1.3k
Barbara A. Church United States 23 777 0.7× 1.2k 1.7× 672 1.6× 220 0.7× 64 0.2× 60 1.8k

Countries citing papers authored by Ansgar D. Endress

Since Specialization
Citations

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

Fields of papers citing papers by Ansgar D. Endress

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ansgar D. Endress. 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 Ansgar D. Endress. The network helps show where Ansgar D. Endress may publish in the future.

Co-authorship network of co-authors of Ansgar D. Endress

This figure shows the co-authorship network connecting the top 25 collaborators of Ansgar D. Endress. A scholar is included among the top collaborators of Ansgar D. Endress 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 Ansgar D. Endress. Ansgar D. Endress 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.
Endress, Ansgar D.. (2024). Hebbian learning can explain rhythmic neural entrainment to statistical regularities. Developmental Science. 27(4). e13487–e13487. 3 indexed citations
3.
Endress, Ansgar D.. (2022). Memory and Proactive Interference for spatially distributed items. Memory & Cognition. 50(4). 782–816. 5 indexed citations
4.
Endress, Ansgar D. & Scott P. Johnson. (2021). When forgetting fosters learning: A neural network model for statistical learning. Cognition. 213. 104621–104621. 21 indexed citations
5.
Endress, Ansgar D. & Szilárd Szabó. (2020). Sequential Presentation Protects Working Memory From Catastrophic Interference. Cognitive Science. 44(5). e12828–e12828. 4 indexed citations
6.
Endress, Ansgar D., Lauren K. Slone, & Scott P. Johnson. (2020). Statistical learning and memory. Cognition. 204. 104346–104346. 5 indexed citations
7.
Endress, Ansgar D.. (2019). Duplications and domain-generality.. Psychological Bulletin. 145(12). 1154–1175. 8 indexed citations
8.
Webb, Rebecca, Susan Ayers, & Ansgar D. Endress. (2017). The City Infant Faces Database: A validated set of infant facial expressions. Behavior Research Methods. 50(1). 151–159. 26 indexed citations
9.
Endress, Ansgar D. & Szilárd Szabó. (2017). Interference and memory capacity limitations.. Psychological Review. 124(5). 551–571. 16 indexed citations
10.
Gervain, Judit & Ansgar D. Endress. (2016). Learning multiple rules simultaneously: Affixes are more salient than reduplications. Memory & Cognition. 45(3). 508–527. 5 indexed citations
11.
Endress, Ansgar D., et al.. (2016). The cost of proactive interference is constant across presentation conditions. Acta Psychologica. 170. 186–194. 8 indexed citations
12.
Endress, Ansgar D. & Luca L. Bonatti. (2015). Words, rules, and mechanisms of language acquisition. Wiley Interdisciplinary Reviews Cognitive Science. 7(1). 19–35. 18 indexed citations
13.
Endress, Ansgar D. & Justin N. Wood. (2011). From movements to actions: Two mechanisms for learning action sequences. Cognitive Psychology. 63(3). 141–171. 28 indexed citations
14.
Hochmann, Jean‐Rémy, Ansgar D. Endress, & Jacques Mehler. (2010). Word frequency as a cue for identifying function words in infancy. Cognition. 115(3). 444–457. 50 indexed citations
15.
Endress, Ansgar D. & Michael A. Hauser. (2010). The influence of type and token frequency on the acquisition of affixation patterns: Implications for language processing.. Journal of Experimental Psychology Learning Memory and Cognition. 37(1). 77–95. 18 indexed citations
16.
Endress, Ansgar D., Sarah Carden, Elisabetta Versace, & Michael A. Hauser. (2009). The apes’ edge: positional learning in chimpanzees and humans. Animal Cognition. 13(3). 483–495. 45 indexed citations
17.
Endress, Ansgar D. & Jacques Mehler. (2009). The surprising power of statistical learning: When fragment knowledge leads to false memories of unheard words. Journal of Memory and Language. 60(3). 351–367. 88 indexed citations
18.
Toro, Juan M., Mohinish Shukla, Marina Nespor, & Ansgar D. Endress. (2008). The quest for generalizations over consonants: Asymmetries between consonants and vowels are not the by-product of acoustic differences. Perception & Psychophysics. 70(8). 1515–1525. 35 indexed citations
19.
Nevins, Andrew & Ansgar D. Endress. (2007). The Edge of Order: Analytic Bias in Ludlings. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 2 indexed citations
20.
Endress, Ansgar D. & Luca L. Bonatti. (2006). Rapid learning of syllable classes from a perceptually continuous speech stream. Cognition. 105(2). 247–299. 101 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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