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).
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-authorship network of co-authors of Peter Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Cheng.
A scholar is included among the top collaborators of Peter Cheng based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Peter Cheng. Peter Cheng is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cheng, Peter, et al.. (2021). Competence assessment by stimulus matching: an application of GOMS to assess chunks in memory. eScholarship (California Digital Library). 43(43).
3.
Cheng, Peter, et al.. (2019). Measuring Programming Competence by Assessing Chunk Structures in a Code Transcription Task.. Cognitive Science. 76–82.1 indexed citations
Cheng, Peter. (2015). Analyzing chunk pauses to measure mathematical competence: Copying equations using ‘centre-click’ interaction.. Cognitive Science.1 indexed citations
6.
Cheng, Peter, et al.. (2014). Observed strategies in the freehand drawing of complex hierarchical diagrams. Cognitive Science. 36(36).2 indexed citations
7.
Cheng, Peter. (2014). Copying equations to assess mathematical competence: An evaluation of pause measures using graphical protocol analysis.. Cognitive Science. 36(36).3 indexed citations
8.
Cheng, Peter. (2010). Temporal chunk signal reflecting five hierarchical levels in writing sentences. Figshare. 32(32).5 indexed citations
9.
Cheng, Peter & Unaizah Obaidellah. (2009). Graphical Production of Complex Abstract Diagrams:Drawing Out Chunks and Schemas. eScholarship (California Digital Library). 31(31).4 indexed citations
10.
Cheng, Peter, et al.. (2009). Missing working memory deficit in dyslexia: children writing from memory. eScholarship (California Digital Library). 31(31).4 indexed citations
Cheng, Peter, et al.. (2006). A temporal signal reveals chunk structure in the writing of word phrases. eScholarship (California Digital Library). 28(28).9 indexed citations
13.
Cheng, Peter, et al.. (2005). Writing out a temporal signal of chunks: patterns of pauses reflect the induced structure of written number sequences. eScholarship (California Digital Library). 27(27). 1061–3.10 indexed citations
Cheng, Peter. (2003). Diagrammatic re-codification of probability theory: A representational epistemological study. eScholarship (California Digital Library). 25(25).1 indexed citations
16.
Peebles, David & Peter Cheng. (2001). Graph-based reasoning: from task analysis to cognitive explanation. eScholarship (California Digital Library). 23(23).12 indexed citations
17.
Cheng, Peter, et al.. (2001). Drawing out the Temporal Signature of Induced Perceptual Chunks. eScholarship (California Digital Library). 23(23).1 indexed citations
18.
Lane, Peter C. R., Peter Cheng, & Fernand Gobet. (2001). Learning perceptual chunks for problem decomposition. Brunel University Research Archive (BURA) (Brunel University London). 23(23).8 indexed citations
19.
Shipstone, David & Peter Cheng. (2001). Electric circuits: A new approach - part 2. Figshare. 83(303). 55–63.4 indexed citations
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.