Peter Cheng

94 papers receiving 1.1k citations

Peers

Peter Cheng
Comparison fields: 5 of 82
  • Human-Computer Interaction 160
  • Experimental and Cognitive Psychology 326
  • Computer Science Applications 87
  • Computer Vision and Pattern Recognition 349
  • Software 44
Replace Masaki Suwa with:
Masaki Suwa Japan
N. Hari Narayanan United States
Christoph Schlieder Germany
Joyce Yue Chai United States
Ute Schmid Germany
Robert B. Allen United States
Michael Matessa United States
Paul Brna United Kingdom
Robert Farrell United States
Nicole Yankelovich United States
Peter Cheng relative to Masaki Suwa Japan Masaki Suwa's profile →
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Citations per year

Countries citing papers authored by Peter Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Peter Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018137
2 2000104
3 2003101
4 200184
5 200281
6 199978
7 200938
8 201031
9 200628
10 200126
11 199825
12 199622
13 199922
14 200421
15
Measuring Mathematical Formula Writing Competence: An Application of Graphical Protocol Analysis
200721
16 200218
17 201618
18 200217
19
Graph-based reasoning: from task analysis to cognitive explanation
200115
20
Functional Roles for the Cognitive Analysis of Diagrams in Problem Solving
200215

About Peter Cheng

Peter Cheng is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence and Cognitive Neuroscience, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Visualization and Analytics (42 papers), Visual and Cognitive Learning Processes (41 papers), Logic, Reasoning, and Knowledge (18 papers), AI-based Problem Solving and Planning (11 papers), Usability and User Interface Design (10 papers), Science Education and Pedagogy (9 papers), Memory Processes and Influences (6 papers) and Philosophy and History of Science (6 papers). The work is most often cited by research in Human-Computer Interaction (160 citations), Experimental and Cognitive Psychology (326 citations), Computer Science Applications (87 citations), Computer Vision and Pattern Recognition (349 citations) and Software (44 citations). Peter Cheng has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David Peebles, Unaizah Hanum Binti Obaidellah, Mike Scaife, Richard Lowe, Volker Haarslev A, Patrick R. Green, Samad Ahmadi, Peter Cowling, Sharon Wood and Rosemary Luckin. Their work appears in journals such as Cognitive Science, Lecture notes in computer science, International Journal of Science Education, Behavioral and Brain Sciences and Computers in Human Behavior.

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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