Richard Rasala
- Computer Science Applications top 1%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Software top 5%
- Computational Theory and Mathematics top 10%
- Co-authors
- Viera K. ProulxHarriet FellJ. RaabWilliam C. WaterhousePaul R. ChernoffCynthia A. BrownJohn ImpagliazzoMichael Goldweber
- Topics
- Teaching and Learning Programming (20 papers)Software Engineering Research (16 papers)Advanced Software Engineering Methodologies (9 papers)
- Journals
- ACM Computing SurveysJournal of Mathematical Analysis and ApplicationsTransactions of the American Mathematical Society
- Partner nations
- United StatesMexicoNew Zealand
In The Last Decade
Richard Rasala
52 papers receiving 505 citations
Peers
Comparison fields: 5 of 65
- Computer Science Applications 248
- Artificial Intelligence 170
- Information Systems 148
- Software 108
- Computational Theory and Mathematics 76
Countries citing papers authored by Richard Rasala
This map shows the geographic impact of Richard Rasala'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 Richard Rasala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Rasala more than expected).
Fields of papers citing papers by Richard Rasala
This network shows the impact of papers produced by Richard Rasala. 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 Richard Rasala. The network helps show where Richard Rasala may publish in the future.
Co-authorship network of co-authors of Richard Rasala
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Rasala. A scholar is included among the top collaborators of Richard Rasala 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 Richard Rasala. Richard Rasala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Simple problem solving in Java: a problem set framework | 1 |
| 2 | 1 | |
| 3 | Using patterns in the classroom | 3 |
| 4 | 1 | |
| 5 | 36 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | Pattern and toolkits in introductory CS courses | 1 |
| 9 | Traffic light: a pedagogical exploration through a design space | 3 |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 23 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 15 | |
| 18 | 38 | |
| 19 | 5 | |
| 20 | 6 |
About Richard Rasala
Richard Rasala is a scholar working on Computer Science Applications, Software and Hardware and Architecture, having authored 54 papers that have together received 582 indexed citations. Recurring topics across this work include Teaching and Learning Programming (20 papers), Software Engineering Research (16 papers) and Advanced Software Engineering Methodologies (9 papers). The work is most often cited by research in Computer Science Applications (248 citations), Software (108 citations) and Discrete Mathematics and Combinatorics (41 citations). Richard Rasala has collaborated with scholars based in United States, Mexico and New Zealand. Frequent co-authors include Viera K. Proulx, Harriet Fell, J. Raab, William C. Waterhouse, Paul R. Chernoff, Cynthia A. Brown, John Impagliazzo, Michael Goldweber, Gordon Davies and Joseph Bergin. Their work appears in journals such as ACM Computing Surveys, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.
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.