Stephen Skalicky

930 citations
40 papers · 622 · h-index 16

Impact in

Papers in

Stephen Skalicky

35 papers receiving 591 citations

Peers

Stephen Skalicky
Comparison fields: 5 of 62
  • Developmental and Educational Psychology 212
  • Language and Linguistics 156
  • Literature and Literary Theory 127
  • Experimental and Cognitive Psychology 115
  • Artificial Intelligence 247
Replace Joost Schilperoord with:
Joost Schilperoord Netherlands
Kathryn Riley United States
Bojana Petrić United Kingdom
Masoud Rahimi Iran
Joseph P. Vitta Japan
Maureen Ehrensberger‐Dow Switzerland
Yuliya Ardasheva United States
Zöe Handley United Kingdom
Reza Biria Iran
Tineke Brunfaut United Kingdom
Stephen Skalicky relative to Joost Schilperoord Netherlands Joost Schilperoord's profile →
Citations per field
00.5×
Joost Schilperoord · 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 22 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017135
2 201973
3 201940
4 201333
5 201528
6 201727
7 202227
8 201926
9 201422
10 201721
11 201818
12 201718
13 201916
14 201315
15 201915
16 201815
17 201715
18 201811
19 202010
20 20198

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 40 papers that have together received 622 indexed citations. Recurring topics across this work include Language, Metaphor, and Cognition (15 papers), Humor Studies and Applications (12 papers), Discourse Analysis in Language Studies (10 papers), Second Language Acquisition and Learning (9 papers), EFL/ESL Teaching and Learning (9 papers), Text Readability and Simplification (7 papers), Second Language Learning and Teaching (6 papers) and Reading and Literacy Development (6 papers). The work is most often cited by research in Developmental and Educational Psychology (212 citations), Language and Linguistics (156 citations), Literature and Literary Theory (127 citations), Experimental and Cognitive Psychology (115 citations) and Artificial Intelligence (247 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, Nick C. Ellis, Ute Römer and Kasia Müldner. Their work appears in journals such as Discourse Processes, Studies in Second Language Acquisition, Language Learning, Language Teaching and Humor - International Journal of Humor Research.

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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