Scott Wallace
Impact in
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- Teaching and Learning Programming
- Software top 5%
- Model-Driven Software Engineering Techniques
Papers in
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- Teaching and Learning Programming 20
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- AI-based Problem Solving and Planning 5
- Co-authors
- Dan Ingalls (4 shared papers)Alan Kay (2 shared papers)John Maloney (2 shared papers)Ted Kaehler (2 shared papers)Xiaodong Liang (5 shared papers)Xinghui Zhao (9 shared papers)David Chiu (4 shared papers)Ingrid Russell (2 shared papers)
- Journals
- ACM SIGPLAN Notices (2 papers)International Journal of Precision Engineering and Manufacturing (2 papers)IEEE Transactions on Industry Applications (1 paper)Computer Science Education (1 paper)Journal of Artificial Intelligence Research (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Scott Wallace
57 papers receiving 779 citations
Peers
Comparison fields: 5 of 77
- Computer Science Applications 209
- Software 130
- Hardware and Architecture 105
- Information Systems 257
- Human-Computer Interaction 58
Countries citing papers authored by Scott Wallace
This map shows the geographic impact of Scott Wallace'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 Scott Wallace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Wallace more than expected).
Fields of papers citing papers by Scott Wallace
This network shows the impact of papers produced by Scott Wallace. 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 Scott Wallace. The network helps show where Scott Wallace may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Wallace, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 281 | |
| 2 | 1988 | 103 | |
| 3 | 2016 | 50 | |
| 4 | 1997 | 48 | |
| 5 | 2015 | 29 | |
| 6 | 2010 | 27 | |
| 7 | 1988 | 26 | |
| 8 | 2014 | 26 | |
| 9 | 2008 | 24 | |
| 10 | 2016 | 23 | |
| 11 | 2010 | 23 | |
| 12 | 2016 | 19 | |
| 13 | 2006 | 17 | |
| 14 | 2008 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2014 | 11 | |
| 17 | 2008 | 11 | |
| 18 | 2017 | 10 | |
| 19 | A Test Bed for Developing Intelligent Synthetic Characters | 2002 | 10 |
| 20 | 2017 | 9 |
About Scott Wallace
Scott Wallace is a scholar working on Computer Science Applications, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 60 papers that have together received 908 indexed citations. Recurring topics across this work include Teaching and Learning Programming (20 papers), Educational Games and Gamification (11 papers), Power System Optimization and Stability (7 papers), Power Systems Fault Detection (6 papers), Islanding Detection in Power Systems (5 papers), AI-based Problem Solving and Planning (5 papers), Acoustic Wave Resonator Technologies (5 papers) and Smart Grid Security and Resilience (5 papers). The work is most often cited by research in Computer Science Applications (209 citations), Software (130 citations), Hardware and Architecture (105 citations), Information Systems (257 citations) and Human-Computer Interaction (58 citations). Scott Wallace has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Dan Ingalls, Alan Kay, John Maloney, Ted Kaehler, Xiaodong Liang, Xinghui Zhao, David Chiu, Ingrid Russell, Andrew Nierman and Robert McCartney. Their work appears in journals such as ACM SIGPLAN Notices, International Journal of Precision Engineering and Manufacturing, IEEE Transactions on Industry Applications, Computer Science Education and Journal of Artificial Intelligence 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.