Tom Crick

128 papers receiving 2.7k citations

Tom Crick's Hit Papers

AI Agents and Agentic Systems: A Multi-Expert Analysis 2025 · 37 citations
370+2+4Years since publication200400600

Peers

Tom Crick
Comparison fields: 5 of 130
  • Computer Science Applications 867
  • Human Factors and Ergonomics 76
  • Education 881
  • Information Systems 661
  • Clinical Psychology 473
Replace Jason M. Lodge with:
Jason M. Lodge Australia
Cecilia Ka Yuk Chan Hong Kong
Daniel Burgos Spain
Ronghuai Huang China
Zane L. Berge United States
Michael Kerres Germany
Luca Botturi Switzerland
Stefan Hrastinski Sweden
Melissa Bond United Kingdom
Olaf Zawacki‐Richter Germany
Tom Crick relative to Jason M. Lodge Australia Jason M. Lodge's profile →
Citations per field
00.5×3.3×
Jason M. Lodge · 1×
Citations per year

Countries citing papers authored by Tom Crick

Since Specialization
Citations

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

Fields of papers citing papers by Tom Crick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tom Crick, 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 Tom Crick Line = papers co-authored together Tom Crick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVID-19 and digital disruption in UK universities: afflictions and affordances of emergency online migration
Hit paper breakdown →
2020630
2 2014210
3 2017133
4 2020100
5 202197
6 202183
7 201982
8 201374
9 201251
10 201847
11 201847
12 201746
13 201844
14 201144
15 201941
16 202038
17 202138
18
AI Agents and Agentic Systems: A Multi-Expert Analysis
Hit paper breakdown →
202537
19 202135
20 202134

About Tom Crick

Tom Crick is a scholar working on Education, Computer Science Applications, Information Systems, Clinical Psychology and Sociology and Political Science, having authored 143 papers that have together received 2.9k indexed citations. Recurring topics across this work include Teaching and Learning Programming (34 papers), COVID-19 and Mental Health (24 papers), Higher Education Learning Practices (17 papers), Online Learning and Analytics (15 papers), Information Systems Education and Curriculum Development (9 papers), Educational Research and Pedagogy (7 papers), Information and Cyber Security (6 papers) and Innovative Education and Learning Practices (6 papers). The work is most often cited by research in Computer Science Applications (867 citations), Human Factors and Ergonomics (76 citations), Education (881 citations), Information Systems (661 citations) and Clinical Psychology (473 citations). Tom Crick has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Cathryn Knight, Richard Watermeyer, Janet Goodall, Sue Sentance, James H. Davenport, Neil C. C. Brown, Simon Humphreys, Tom Prickett, Giles Oatley and Faron Moller. Their work appears in journals such as PLoS ONE, Higher Education, Journal of Computers in Education, Journal of Computer Information Systems and Social Network Analysis and Mining.

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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