Chris Hancock

808 citations
11 papers · 564 indexed · h-index 8

Impact in

Papers in

Chris Hancock

9 papers receiving 470 citations

Peers

Chris Hancock
Comparison fields: 5 of 74
  • Computer Science Applications 191
  • Human-Computer Interaction 75
  • Statistics and Probability 105
  • Developmental and Educational Psychology 118
  • Software 28
Replace Shiyan Jiang with:
Shiyan Jiang United States
Markus Hohenwarter Austria
Ulrich Kortenkamp Germany
Deborah Seehorn United States
Camilo Vieira United States
Wallace Feurzeig United States
Greg L. Nelson United States
Bill Manaris United States
Tapani Toivonen Finland
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Citations per field
00.5×10×16.5×
Shiyan Jiang · 1×
Citations per year

Countries citing papers authored by Chris Hancock

Since Specialization
Citations

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

Fields of papers citing papers by Chris Hancock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 202112
2 20190
3 201442
4 201326
5 20138
6
Programming revisited: the educational value of computer programming
20041
7 20039
8 1998131
9 1992148
10
Context and Creation in the Learning of Computer Programming
19882
11 1986185

About Chris Hancock

Chris Hancock is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Hardware and Architecture, Statistics and Probability and Statistical and Nonlinear Physics, having authored 11 papers that have together received 564 indexed citations. Recurring topics across this work include Teaching and Learning Programming (3 papers), Innovative Teaching and Learning Methods (2 papers), Educational Games and Gamification (2 papers), Microwave Imaging and Scattering Analysis (2 papers), Energy Harvesting in Wireless Networks (1 paper), Outdoor and Experiential Education (1 paper), Quantum Dots Synthesis And Properties (1 paper) and Digital Games and Media (1 paper). The work is most often cited by research in Computer Science Applications (191 citations), Human-Computer Interaction (75 citations), Statistics and Probability (105 citations), Developmental and Educational Psychology (118 citations) and Software (28 citations). Chris Hancock has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include James J. Kaput, Lynn T. Goldsmith, Rebecca Simmons, David N. Perkins, Renée Hobbs, Richard Borovoy, Mitchel Resnick, Fred Martin, Brian S. Silverman and M. G. White. Their work appears in journals such as IEEE Transactions on Microwave Theory and Techniques, Educational Psychologist, Marine Pollution Bulletin, Journal of Applied Physics and Journal of Educational Computing 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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