Michael P. Kaschak

6.9k total citations · 1 hit paper
59 papers, 4.1k citations indexed

About

Michael P. Kaschak is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael P. Kaschak has authored 59 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 31 papers in Developmental and Educational Psychology and 30 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael P. Kaschak's work include Neurobiology of Language and Bilingualism (24 papers), Language, Metaphor, and Cognition (20 papers) and Reading and Literacy Development (17 papers). Michael P. Kaschak is often cited by papers focused on Neurobiology of Language and Bilingualism (24 papers), Language, Metaphor, and Cognition (20 papers) and Reading and Literacy Development (17 papers). Michael P. Kaschak collaborates with scholars based in United States, Russia and Belgium. Michael P. Kaschak's co-authors include Arthur M. Glenberg, Kristin L. Borreggine, Morton Ann Gernsbacher, Rolf A. Zwaan, John L. Jones, Katinka Dijkstra, Anna M. Borghi, Joel R. Levin, Sandra J. Japuntich and Timothy J. Kutta and has published in prestigious journals such as PLoS ONE, American Psychologist and Child Development.

In The Last Decade

Michael P. Kaschak

58 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Grounding language in action

2002 1.4k citations Arthur M. Glenberg, Michael P. Kaschak Psychonomic Bulletin & Review profile →

Peers

Michael P. Kaschak

ECP

DEP

SP

CN

LL

Penny M. Pexman Canada

Seana Coulson United States

David Vinson United Kingdom

Miriam Faust Israel

Jos J. A. Van Berkum Netherlands

Markus Conrad Germany

Thomas C. Gunter Germany

Michael J. Cortese United States

Susan S. Jones United States

Hiram Brownell United States

Penny M. Pexman Canada

Michael P. Kaschak

3.1k ×1.5

ECP

2.4k ×1.2

DEP

1.9k ×1.0

SP

2.6k ×1.5

CN

441 ×1.1

LL

Citations per year, relative to Michael P. Kaschak Michael P. Kaschak (= 1×) peers Penny M. Pexman

Countries citing papers authored by Michael P. Kaschak

Since Specialization

Citations

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

Fields of papers citing papers by Michael P. Kaschak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Kaschak. 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 Michael P. Kaschak. The network helps show where Michael P. Kaschak may publish in the future.

Co-authorship network of co-authors of Michael P. Kaschak

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Kaschak. A scholar is included among the top collaborators of Michael P. Kaschak 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 Michael P. Kaschak. Michael P. Kaschak 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

1.

Kaschak, Michael P., et al.. (2024). Non-sentential responses to requests for information. Memory & Cognition. 53(4). 1207–1225.

2.

Long, Michael H., et al.. (2021). Pointing to the Future of Language Research. Journal of Cognition. 4(1). 41–41. 1 indexed citations

3.

Kaschak, Michael P., et al.. (2021). Structural priming in question-answer dialogues. Psychonomic Bulletin & Review. 29(1). 262–267. 2 indexed citations

4.

Kaschak, Michael P., et al.. (2020). Gaming experience affects the interpretation of ambiguous words. PLoS ONE. 15(12). e0243512–e0243512. 8 indexed citations

5.

Morris, Richard J., et al.. (2019). The effect of the menstrual cycle on dichotic listening. PLoS ONE. 14(2). e0212673–e0212673. 2 indexed citations

6.

Thomas, Laura E., Agustín Ibáñez, John L. Jones, et al.. (2016). Action-sentence Compatibility Effect (ACE) Pre-registered Replication. OSF Preprints (OSF Preprints). 3 indexed citations

7.

Connor, Carol McDonald, Beth M. Phillips, Michael P. Kaschak, et al.. (2014). Comprehension Tools for Teachers: Reading for Understanding from Prekindergarten Through Fourth Grade. Educational Psychology Review. 26(3). 379–401. 31 indexed citations

8.

Spencer, Mercedes, Michael P. Kaschak, John L. Jones, & Christopher J. Lonigan. (2014). Statistical learning is related to early literacy-related skills. Reading and Writing. 28(4). 467–490. 74 indexed citations

9.

Kaschak, Michael P., et al.. (2012). Female Fertility Affects Men's Linguistic Choices. PLoS ONE. 7(2). e27971–e27971. 16 indexed citations

10.

Kaschak, Michael P., et al.. (2012). The comprehension of sentences involving quantity information affects responses on the up–down axis. Psychonomic Bulletin & Review. 19(4). 708–714. 25 indexed citations

11.

Kutta, Timothy J. & Michael P. Kaschak. (2012). Changes in task-extrinsic context do not affect the persistence of long-term cumulative structural priming. Acta Psychologica. 141(3). 408–414. 9 indexed citations

12.

Jones, John L., Michael P. Kaschak, & Walter R. Boot. (2011). Language Mediated Visual Search: The Role of Display Preview. Cognitive Science. 33(33). 2 indexed citations

13.

Kaschak, Michael P., Timothy J. Kutta, & John L. Jones. (2011). Structural priming as implicit learning: Cumulative priming effects and individual differences. Psychonomic Bulletin & Review. 18(6). 1133–1139. 75 indexed citations

14.

Kaschak, Michael P., et al.. (2009). Does visual speech information affect word segmentation?. Memory & Cognition. 37(6). 889–894. 19 indexed citations

15.

Kaschak, Michael P.. (2007). Long-term structural priming affects subsequent patterns of language production. Memory & Cognition. 35(5). 925–937. 84 indexed citations

16.

Kaschak, Michael P.. (2006). What this construction needs is generalized. Memory & Cognition. 34(2). 368–379. 31 indexed citations

17.

Borreggine, Kristin L. & Michael P. Kaschak. (2006). The Action–Sentence Compatibility Effect: It's All in the Timing. Cognitive Science. 30(6). 1097–1112. 102 indexed citations

18.

Borghi, Anna M., Arthur M. Glenberg, & Michael P. Kaschak. (2004). Putting words in perspective. Memory & Cognition. 32(6). 863–873. 167 indexed citations

19.

Kaschak, Michael P., Carol J. Madden, David J. Therriault, et al.. (2004). Perception of motion affects language processing. Cognition. 94(3). B79–B89. 231 indexed citations

20.

Vega, Manuel de, David A. Robertson, Arthur M. Glenberg, Michael P. Kaschak, & Mike Rinck. (2004). On doing two things at once: Temporal constraints on actions in language comprehension. Memory & Cognition. 32(7). 1033–1043. 46 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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