Stephen Skalicky

930 citations
35 papers · 546 · h-index 15

Impact in

Papers in

Stephen Skalicky

30 papers receiving 519 citations

Peers

Stephen Skalicky
Comparison fields: 5 of 62
  • Developmental and Educational Psychology 203
  • Language and Linguistics 131
  • Literature and Literary Theory 114
  • Experimental and Cognitive Psychology 95
  • Artificial Intelligence 223
Replace Kirk P. H. Sullivan with:
Kirk P. H. Sullivan Sweden
Dustin Crowther United States
Tineke Brunfaut United Kingdom
Masoud Rahimi Iran
Joost Schilperoord Netherlands
Yuliya Ardasheva United States
Kathryn Riley United States
Gary J. Ockey United States
April Ginther United States
Scott Aubrey Hong Kong
Stephen Skalicky relative to Kirk P. H. Sullivan Sweden Kirk P. H. Sullivan's profile →
Citations per field
00.5×3.5×
Kirk P. H. Sullivan · 1×
Citations per year

Countries citing papers authored by Stephen Skalicky

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Skalicky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Skalicky. 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 Stephen Skalicky. The network helps show where Stephen Skalicky may publish in the future.

Co-authors

The 20 scholars most cited alongside Stephen Skalicky, 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 Stephen Skalicky Line = papers co-authored together Stephen Skalicky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017124
2 201962
3 201328
4 202227
5 201725
6 201925
7 201524
8 201923
9 201419
10 201719
11 201817
12 201717
13 201915
14 201815
15 201314
16 201914
17 201714
18 202010
19 20198
20 20188

About Stephen Skalicky

Stephen Skalicky is a scholar working on Literature and Literary Theory, Social Psychology, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Artificial Intelligence, having authored 35 papers that have together received 546 indexed citations. Recurring topics across this work include Language, Metaphor, and Cognition (13 papers), Humor Studies and Applications (11 papers), Second Language Acquisition and Learning (9 papers), EFL/ESL Teaching and Learning (9 papers), Discourse Analysis in Language Studies (8 papers), Second Language Learning and Teaching (6 papers), Reading and Literacy Development (6 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Developmental and Educational Psychology (203 citations), Language and Linguistics (131 citations), Literature and Literary Theory (114 citations), Experimental and Cognitive Psychology (95 citations) and Artificial Intelligence (223 citations). Stephen Skalicky has collaborated with scholars based in United States, New Zealand and South Korea. Frequent co-authors include Scott A. Crossley, Mihai Dascălu, Kristopher Kyle, Danielle S. McNamara, YouJin Kim, Cynthia M. Berger, Nancy Bell, Ute Römer, Nick C. Ellis and Tom Salsbury. Their work appears in journals such as Discourse Processes, Studies in Second Language Acquisition, Language Learning, Humor - International Journal of Humor Research and Language Teaching.

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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