Toben H. Mintz

2.4k total citations
31 papers, 1.1k citations indexed

About

Toben H. Mintz is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Toben H. Mintz has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Developmental and Educational Psychology, 9 papers in Artificial Intelligence and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Toben H. Mintz's work include Language Development and Disorders (20 papers), Reading and Literacy Development (15 papers) and Child and Animal Learning Development (7 papers). Toben H. Mintz is often cited by papers focused on Language Development and Disorders (20 papers), Reading and Literacy Development (15 papers) and Child and Animal Learning Development (7 papers). Toben H. Mintz collaborates with scholars based in United States, France and Germany. Toben H. Mintz's co-authors include Elissa L. Newport, Thomas G. Bever, Suzanne Curtin, Morten H. Christiansen, Anne Christophe, Savita Bernal, Emmanuel Chemla, Jason D. Zevin, Kenny Smith and Benjamin Wilson and has published in prestigious journals such as PLoS ONE, Developmental Psychology and Cognition.

In The Last Decade

Toben H. Mintz

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Toben H. Mintz United States	15	941	302	257	248	186	31	1.1k
Melody Dye United States	11	414 0.4×	254 0.8×	293 1.1×	187 0.8×	111 0.6×	25	687
Rushen Shi Canada	16	996 1.1×	140 0.5×	268 1.0×	371 1.5×	91 0.5×	48	1.2k
Luca Onnis United States	15	486 0.5×	166 0.5×	245 1.0×	158 0.6×	130 0.7×	40	726
Stewart M. McCauley United States	14	453 0.5×	223 0.7×	300 1.2×	120 0.5×	92 0.5×	22	626
Todd M. Bailey United Kingdom	14	548 0.6×	242 0.8×	371 1.4×	404 1.6×	55 0.3×	17	934
Isabelle Dautriche France	14	333 0.4×	225 0.7×	178 0.7×	200 0.8×	176 0.9×	34	708
Jessica F. Hay United States	13	626 0.7×	160 0.5×	294 1.1×	343 1.4×	78 0.4×	26	858
Sarah C. Creel United States	17	574 0.6×	199 0.7×	492 1.9×	542 2.2×	66 0.4×	51	1.0k
Eef Ameel Belgium	13	332 0.4×	143 0.5×	245 1.0×	394 1.6×	70 0.4×	28	767
Katherine S. White Canada	18	904 1.0×	132 0.4×	251 1.0×	599 2.4×	60 0.3×	31	1.1k

Countries citing papers authored by Toben H. Mintz

Since Specialization

Citations

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

Fields of papers citing papers by Toben H. Mintz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toben H. Mintz. 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 Toben H. Mintz. The network helps show where Toben H. Mintz may publish in the future.

Co-authorship network of co-authors of Toben H. Mintz

This figure shows the co-authorship network connecting the top 25 collaborators of Toben H. Mintz. A scholar is included among the top collaborators of Toben H. Mintz 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 Toben H. Mintz. Toben H. Mintz 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

Mintz, Toben H., et al.. (2021). Learning non-adjacent rules and non-adjacent dependencies from human actions in 9-month-old infants. PLoS ONE. 16(6). e0252959–e0252959. 2 indexed citations

Zevin, Jason D., et al.. (2020). Top-down grouping affects adjacent dependency learning. Psychonomic Bulletin & Review. 27(5). 1052–1058. 4 indexed citations

Mintz, Toben H., et al.. (2018). Learning nonadjacent dependencies embedded in sentences of an artificial language: When learning breaks down.. Journal of Experimental Psychology Learning Memory and Cognition. 44(4). 604–614. 5 indexed citations

Mintz, Toben H., et al.. (2017). Infants' sensitivity to vowel harmony and its role in segmenting speech. Cognition. 171. 95–107. 17 indexed citations

Zevin, Jason D., et al.. (2017). Top-down structure influences learning of nonadjacent dependencies in an artificial language.. Journal of Experimental Psychology General. 146(12). 1738–1748. 8 indexed citations

Wang, Hao, Jason D. Zevin, & Toben H. Mintz. (2016). Grammatical Bracketing Determines Learning of Non-adjacent Dependencies.. Cognitive Science. 1 indexed citations

Wang, Hao, Jason D. Zevin, & Toben H. Mintz. (2016). Learning Non-Adjacent Dependencies in Continuous Presentation of an Artificial Language.. Cognitive Science. 1 indexed citations

Mintz, Toben H., et al.. (2016). Prosodic differences between declaratives and interrogatives in infant-directed speech. Journal of Child Language. 44(4). 968–994. 10 indexed citations

Amir, Ori, et al.. (2014). Greater sensitivity to nonaccidental than metric shape properties in preschool children. Vision Research. 97. 83–88. 15 indexed citations

10.

Amir, Ofer, et al.. (2014). Greater Sensitivity to Nonaccidental than Metric Shape Properties in Preschool Children. Journal of Vision. 14(10). 1291–1291. 1 indexed citations

11.

Mintz, Toben H., et al.. (2014). Word categorization from distributional information: Frames confer more than the sum of their (Bigram) parts. Cognitive Psychology. 75. 1–27. 18 indexed citations

12.

Mintz, Toben H.. (2013). The Segmentation of Sub-Lexical Morphemes in English-Learning 15-Month-Olds. Frontiers in Psychology. 4. 24–24. 25 indexed citations

13.

Mintz, Toben H.. (2011). Comparing the efficacy of bigrams and frames in cuing lexical categories for human learners. Cognitive Science. 33(33). 1 indexed citations

14.

Chemla, Emmanuel, Toben H. Mintz, Savita Bernal, & Anne Christophe. (2009). Categorizing words using ‘frequent frames’: what cross‐linguistic analyses reveal about distributional acquisition strategies. Developmental Science. 12(3). 396–406. 57 indexed citations

15.

Curtin, Suzanne, Toben H. Mintz, & Morten H. Christiansen. (2005). Stress changes the representational landscape: evidence from word segmentation. Cognition. 96(3). 233–262. 125 indexed citations

16.

Mintz, Toben H.. (2005). Linguistic and Conceptual Influences on Adjective Acquisition in 24- and 36-Month-Olds.. Developmental Psychology. 41(1). 17–29. 30 indexed citations

17.

Mintz, Toben H.. (2003). Frequent frames as a cue for grammatical categories in child directed speech. Cognition. 90(1). 91–117. 311 indexed citations

18.

Mintz, Toben H.. (2002). Adjectives really do modify nouns: the incremental and restricted nature of early adjective acquisition. Cognition. 84(3). 267–293. 87 indexed citations

19.

Mintz, Toben H.. (2000). Unique Entropy As A Model Of Linguistic Classification. eScholarship (California Digital Library). 22(22). 2 indexed citations

20.

Mintz, Toben H., Elissa L. Newport, & Thomas G. Bever. (1995). Distributional Regularities of Form Class in Speech to Young Children. Scholarworks (University of Massachusetts Amherst). 25(2). 5. 15 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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