Chris Mayfield
Impact in
- Computer Science Applications top 0.5%
- Teaching and Learning Programming
- Online Learning and Analytics
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- Educational Games and Gamification
- Innovative Teaching and Learning Methods
Papers in
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- Teaching and Learning Programming 9
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- Experimental Learning in Engineering 7
- Co-authors
- Susanne E. HambruschAman YadavNinger ZhouJohn T. KorbSunil PrabhakarJennifer NevilleSarvjeet SinghHelen H. Hu
- Journals
- BMC Genomics (1 paper)ACM Transactions on Computing Education (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)Purdue e-Pubs (Purdue University System) (2 papers)VTechWorks (Virginia Tech) (1 paper)
- Partner nations
- United StatesNorwayHong Kong
In The Last Decade
Chris Mayfield
23 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Science Applications 643
- Developmental and Educational Psychology 307
- Signal Processing 213
- Media Technology 122
- Software 48
Countries citing papers authored by Chris Mayfield
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
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-authorship network
The 21 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 16 | |
| 5 | 2021 | 37 | |
| 6 | 2021 | 46 | |
| 7 | 2019 | 13 | |
| 8 | 2019 | 1 | |
| 9 | 2018 | 4 | |
| 10 | 2017 | 24 | |
| 11 | Computational Thinking in Elementary and Secondary Teacher Education Hit paper breakdown → | 2014 | 406 |
| 12 | Think Java: How to think like a computer scientist | 2011 | 2 |
| 13 | 2011 | 161 | |
| 14 | 2010 | 108 | |
| 15 | 2009 | 21 | |
| 16 | A Statistical Method for Integrated Data Cleaning and Imputation | 2009 | 7 |
| 17 | The Orion Uncertain Data Management System | 2008 | 5 |
| 18 | 2008 | 66 | |
| 19 | 2008 | 58 | |
| 20 | 2006 | 0 |
About Chris Mayfield
Chris Mayfield is a scholar working on Computer Science Applications, Media Technology, Software, Signal Processing and Developmental and Educational Psychology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Teaching and Learning Programming (9 papers), Experimental Learning in Engineering (7 papers), Innovative Teaching Methods (6 papers), Innovative Teaching and Learning Methods (5 papers), Problem and Project Based Learning (5 papers), Advanced Database Systems and Queries (5 papers), Data Management and Algorithms (5 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Computer Science Applications (643 citations), Developmental and Educational Psychology (307 citations), Signal Processing (213 citations), Media Technology (122 citations) and Software (48 citations). Chris Mayfield has collaborated with scholars based in United States, Norway and Hong Kong. Frequent co-authors include Susanne E. Hambrusch, Aman Yadav, Ninger Zhou, John T. Korb, Sunil Prabhakar, Jennifer Neville, Sarvjeet Singh, Helen H. Hu, Clif Kussmaul and Rahul Shah. Their work appears in journals such as BMC Genomics, ACM Transactions on Computing Education, CERN Document Server (European Organization for Nuclear Research), Purdue e-Pubs (Purdue University System) and VTechWorks (Virginia Tech).
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.