Greg Kessler

2.7k citations
32 papers · 1.3k · 1 hit paper · h-index 14

Impact in

Papers in

Greg Kessler

26 papers receiving 1.1k citations

Greg Kessler's Hit Papers

Technology and the future of language teaching 2018 · 284 citations
2840+2+5Years since publication50100150200250

Peers

Greg Kessler
Comparison fields: 5 of 79
  • Language and Linguistics 526
  • Literature and Literary Theory 476
  • Developmental and Educational Psychology 474
  • Communication 207
  • Computer Science Applications 116
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Mike Levy Australia
Jeong‐Bae Son Australia
Nicky Hockly United States
Douglas Grimes United States
Philip Hubbard United States
Deoksoon Kim United States
Ruofei Zhang Hong Kong
Gavin Dudeney United States
Blaine E. Smith United States
Shih-Hsien Yang Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Greg Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Greg Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Greg Kessler, 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 Greg Kessler Line = papers co-authored together Greg Kessler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Technology and the future of language teaching
Hit paper breakdown →
2018284
2 2009217
3 2010213
4 2012192
5 2007103
6 200851
7 201437
8 201336
9 201035
10 200229
11 201023
12 202119
13 201614
14 200113
15 200912
16 201310
17 19809
18 19809
19 20028
20 20116

About Greg Kessler

Greg Kessler is a scholar working on Language and Linguistics, Literature and Literary Theory, Education, Developmental and Educational Psychology and Communication, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (17 papers), Second Language Learning and Teaching (11 papers), Education and Technology Integration (6 papers), Innovative Teaching and Learning Methods (5 papers), Wikis in Education and Collaboration (3 papers), Digital Communication and Language (3 papers), Discourse Analysis in Language Studies (3 papers) and Mobile Learning in Education (3 papers). The work is most often cited by research in Language and Linguistics (526 citations), Literature and Literary Theory (476 citations), Developmental and Educational Psychology (474 citations), Communication (207 citations) and Computer Science Applications (116 citations). Greg Kessler has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Dawn Bikowski, Lia Plakans, Paige Ware, Thomas S. Talamo, Philip Foulis, Harvey Mendelow, Teresa Franklin and Wayne Huang. Their work appears in journals such as Computer Assisted Language Learning, American Journal of Clinical Pathology, CALICO Journal, TESOL Journal and Language learning & technology.

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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