Thomas R. G. Green

428 citations
13 papers · 293 indexed · h-index 8

Thomas R. G. Green

11 papers receiving 229 citations

Peers

Thomas R. G. Green
Comparison fields: 5 of 46
  • Software 98
  • Human-Computer Interaction 104
  • Computer Science Applications 65
  • Information Systems 121
  • Developmental and Educational Psychology 46
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Countries citing papers authored by Thomas R. G. Green

Since Specialization
Citations

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

Fields of papers citing papers by Thomas R. G. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas R. G. Green. 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 Thomas R. G. Green. The network helps show where Thomas R. G. Green may publish in the future.

Co-authorship network

The 10 scholars most cited alongside Thomas R. G. Green, 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 Thomas R. G. Green Line = papers co-authored together Thomas R. G. Green links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
The Abstract is 'an Enemy': Alternative Perspectives to Computational Thinking
200818
2 200727
3
The Hindsight Saga.
20061
4
Arenas of Interest in Designing a Notation: How Far do Cognitive Dimensions Go?
20021
5
A Cognitive Dimensions questionnaire optimised for users.
200066
6 200043
7
Investment of attention as an analytic approach to cognitive dimensions.
199935
8 199527
9 19932
10
The cognitive dimension of viscosity: A sticky problem for HCI
199050
11
The generalized unification parser: Modelling the parsing of notations
19906
12
Where to draw the line with text: Some claims by logic designers about graphics in notation
199012
13
Limited theories as framework for human-computer interaction
19875

About Thomas R. G. Green

Thomas R. G. Green is a scholar working on Software, Computer Science Applications and Human-Computer Interaction, having authored 13 papers that have together received 293 indexed citations. Recurring topics across this work include Spreadsheets and End-User Computing (4 papers), Usability and User Interface Design (4 papers), Software Engineering Research (2 papers), Teaching and Learning Programming (2 papers), Design Education and Practice (1 paper), Open Education and E-Learning (1 paper), Educational Games and Gamification (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Software (98 citations), Human-Computer Interaction (104 citations) and Computer Science Applications (65 citations). Thomas R. G. Green has collaborated with scholars based in United Kingdom. Frequent co-authors include Alan F. Blackwell, David J. Gilmore, Simon P. Davies, Ann Blandford, Stephann Makri, Dominic Furniss, Luke Church, Marian Petre, Wayne D. Gray and Jim Spohrer. Their work appears in journals such as Human-Computer Interaction, International Journal of Human-Computer Studies, PPIG, TU/e Research Portal (Eindhoven University of Technology) and ACM SIGCHI Bulletin.

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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