Chris Mayfield

1.8k citations
28 papers · 1.1k · 1 hit paper · h-index 13

Impact in

Papers in

Chris Mayfield

24 papers receiving 1.1k citations

Chris Mayfield's Hit Papers

Computational Thinking in Elementary and Secondary Teacher Education 2014 · 417 citations
4170+4+8Years since publication100200300400

Peers

Chris Mayfield
Comparison fields: 5 of 80
  • Computer Science Applications 654
  • Developmental and Educational Psychology 315
  • Signal Processing 214
  • Media Technology 123
  • Software 49
Replace Theresa Beaubouef with:
Theresa Beaubouef United States
Edward F. Gehringer United States
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Felienne Hermans Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Chris Mayfield

Since Specialization
Citations

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

Fields of papers citing papers by Chris Mayfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Chris Mayfield, 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 Mayfield Line = papers co-authored together Chris Mayfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computational Thinking in Elementary and Secondary Teacher Education
Hit paper breakdown →
2014417
2 2011163
3 2010110
4 200784
5 200866
6 200860
7 202148
8 202137
9 201625
10 201724
11 200922
12 202216
13 201913
14 201412
15
A Statistical Method for Integrated Data Cleaning and Imputation
20097
16
The Orion Uncertain Data Management System
20085
17 20234
18 20224
19 20184
20 20144

About Chris Mayfield

Chris Mayfield is a scholar working on Education, Computer Science Applications, Media Technology, Developmental and Educational Psychology and Computer Networks and Communications, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Teaching and Learning Programming (10 papers), Experimental Learning in Engineering (8 papers), Innovative Teaching Methods (7 papers), Innovative Teaching and Learning Methods (6 papers), Advanced Database Systems and Queries (5 papers), Data Management and Algorithms (5 papers), Problem and Project Based Learning (5 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Computer Science Applications (654 citations), Developmental and Educational Psychology (315 citations), Signal Processing (214 citations), Media Technology (123 citations) and Software (49 citations). Chris Mayfield has collaborated with scholars based in United States, Norway and Hong Kong. Frequent co-authors include Susanne E. Hambrusch, Aman Yadav, John T. Korb, Ninger Zhou, Sunil Prabhakar, Jennifer Neville, Sarvjeet Singh, Helen H. Hu, Clif Kussmaul and Rahul Shah. Their work appears in journals such as ACM Transactions on Computing Education, BMC Genomics, Civil War Book Review, ˜The œHigh School journal and CERN Document Server (European Organization for Nuclear 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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