Jennifer E. Mack

837 citations
24 papers · 528 · h-index 13

Impact in

Papers in

Jennifer E. Mack

24 papers receiving 516 citations

Peers

Jennifer E. Mack
Comparison fields: 5 of 39
  • Developmental and Educational Psychology 318
  • Cognitive Neuroscience 477
  • Experimental and Cognitive Psychology 83
  • Language and Linguistics 45
  • Rehabilitation 27
Replace Aaron M. Meyer with:
Aaron M. Meyer United States
Tepanta Fossett United States
Aya Meltzer‐Asscher Israel
David S. Race United States
Lisa Finkel Germany
Marion Grande Germany
Jeremy J. Purcell United States
Anne N. Haendiges United States
Ramin Assadollahi Germany
Chaleece Sandberg United States
Jennifer E. Mack relative to Aaron M. Meyer United States Aaron M. Meyer's profile →
Citations per field
00.5×1.5×2.3×
Aaron M. Meyer · 1×
Citations per year

Countries citing papers authored by Jennifer E. Mack

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Mack. 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 Jennifer E. Mack. The network helps show where Jennifer E. Mack may publish in the future.

Co-authors

The 23 scholars most cited alongside Jennifer E. Mack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jennifer E. Mack Line = papers co-authored together Jennifer E. Mack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201166
2 201456
3 201548
4 201348
5 201347
6 201544
7 201639
8 201933
9 201724
10 201322
11 201618
12 200617
13 201715
14 201910
15 20129
16 20148
17 20208
18 20206
19 20214
20 20132

About Jennifer E. Mack

Jennifer E. Mack is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Social Psychology, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 24 papers that have together received 528 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (22 papers), Reading and Literacy Development (15 papers), Language Development and Disorders (11 papers), EEG and Brain-Computer Interfaces (6 papers), Gaze Tracking and Assistive Technology (2 papers), Natural Language Processing Techniques (2 papers), Action Observation and Synchronization (2 papers) and Syntax, Semantics, Linguistic Variation (2 papers). The work is most often cited by research in Developmental and Educational Psychology (318 citations), Cognitive Neuroscience (477 citations), Experimental and Cognitive Psychology (83 citations), Language and Linguistics (45 citations) and Rehabilitation (27 citations). Jennifer E. Mack has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Cynthia K. Thompson, Elena Barbieri, Aya Meltzer‐Asscher, Aaron M. Meyer, Sandra Weıntraub, M.‐Marsel Mesulam, Emily Rogalskı, Eduardo Europa, María Mercedes Piñango and Ray Jackendoff. Their work appears in journals such as Journal of Neurolinguistics, Neuropsychologia, Journal of Memory and Language, Frontiers in Human Neuroscience and Cortex.

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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