M. E. Sokolik

585 citations
9 papers · 403 indexed · h-index 4

Impact in

    • Neural and Behavioral Psychology Studies
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Neuroscience and Music Perception
    • Memory and Neural Mechanisms
    • Neurobiology of Language and Bilingualism
    • EFL/ESL Teaching and Learning

Papers in

M. E. Sokolik

8 papers receiving 361 citations

Peers

M. E. Sokolik
Comparison fields: 5 of 60
  • Cognitive Neuroscience 315
  • Language and Linguistics 43
  • Experimental and Cognitive Psychology 48
  • Developmental and Educational Psychology 42
  • Psychiatry and Mental health 42
Replace Carl Wernicke with:
Carl Wernicke Germany
Shiro Ojima Japan
Ruth Silverberg United States
Charlotte Jacquemot France
Christopher M. Grindrod United States
M. Kerschensteiner Germany
K.M.W. Verhoef Netherlands
Christian DeVita United States
Anna Bereś Poland
Silvia Muggia Italy
M. E. Sokolik relative to Carl Wernicke Germany Carl Wernicke's profile →
Citations per field
00.5×1.5×2.3×
Carl Wernicke · 1×
Citations per year

Countries citing papers authored by M. E. Sokolik

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Sokolik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 7 scholars most cited alongside M. E. Sokolik, 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 M. E. Sokolik Line = papers co-authored together M. E. Sokolik links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown

About M. E. Sokolik

M. E. Sokolik is a scholar working on Linguistics and Language, Language and Linguistics, Literature and Literary Theory, Gender Studies and Cognitive Neuroscience, having authored 9 papers that have together received 403 indexed citations. Recurring topics across this work include Multilingual Education and Policy (2 papers), Second Language Learning and Teaching (2 papers), EFL/ESL Teaching and Learning (2 papers), Functional Brain Connectivity Studies (1 paper), Neural dynamics and brain function (1 paper), Speech and dialogue systems (1 paper), Lexicography and Language Studies (1 paper) and Neurobiology of Language and Bilingualism (1 paper). The work is most often cited by research in Cognitive Neuroscience (315 citations), Language and Linguistics (43 citations), Experimental and Cognitive Psychology (48 citations), Developmental and Educational Psychology (42 citations) and Psychiatry and Mental health (42 citations). M. E. Sokolik has collaborated with scholars based in United States and France. Frequent co-authors include Michael E. Smith, Eric Halgren, Antonio Musolino, Patrick Chauvel, Catherine Liégeois‐Chauvel, John H. Schumann and Peter Master. Their work appears in journals such as TESOL Quarterly, Postmodern Culture, Electroencephalography and Clinical Neurophysiology, Teaching English as a Second or Foreign Language--TESL-EJ and Journal of Pidgin and Creole Languages.

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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