Jaime Spacco
- Computer Science Applications top 0.2%
- Information Systems top 1%
- Software top 1%
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 5%
- Co-authors
- David HovemeyerWilliam PughAndrew PetersenJeffrey K. HollingsworthArto VihavainenBeth SimonKelly RiversStephen H. Edwards
- Topics
- Teaching and Learning Programming (20 papers)Software Testing and Debugging Techniques (15 papers)Software Engineering Research (14 papers)
- Journals
- ACM SIGPLAN NoticesACM InroadsResearchSpace (University of Auckland)
- Partner nations
- United StatesCanadaFinland
In The Last Decade
Jaime Spacco
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 46
- Computer Science Applications 689
- Information Systems 572
- Software 454
- Artificial Intelligence 228
- Developmental and Educational Psychology 183
Countries citing papers authored by Jaime Spacco
This map shows the geographic impact of Jaime Spacco'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 Jaime Spacco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Spacco more than expected).
Fields of papers citing papers by Jaime Spacco
This network shows the impact of papers produced by Jaime Spacco. 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 Jaime Spacco. The network helps show where Jaime Spacco may publish in the future.
Co-authorship network of co-authors of Jaime Spacco
This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Spacco. A scholar is included among the top collaborators of Jaime Spacco 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 Jaime Spacco. Jaime Spacco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 11 | |
| 6 | 32 | |
| 7 | 1 | |
| 8 | 54 | |
| 9 | CloudCoder: a web-based programming exercise system | 12 |
| 10 | 67 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 8 | |
| 14 | 68 | |
| 15 | 52 | |
| 16 | RUBiS Revisited: Why J2EE Benchmarking is Hard. | 5 |
| 17 | 62 | |
| 18 | 35 | |
| 19 | Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures | 2 |
| 20 | Atomic Instructions in Java | 3 |
About Jaime Spacco
Jaime Spacco is a scholar working on Computer Science Applications, Software and Media Technology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Teaching and Learning Programming (20 papers), Software Testing and Debugging Techniques (15 papers) and Software Engineering Research (14 papers). The work is most often cited by research in Computer Science Applications (689 citations), Software (454 citations) and Information Systems (572 citations). Jaime Spacco has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include David Hovemeyer, William Pugh, Andrew Petersen, Jeffrey K. Hollingsworth, Arto Vihavainen, Beth Simon, Kelly Rivers, Stephen H. Edwards, Polyvios Pratikakis and Michael Hicks. Their work appears in journals such as ACM SIGPLAN Notices, ACM Inroads and ResearchSpace (University of Auckland).
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.