Jim Ivins
- Education top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Science Applications top 10%
- Media Technology
- Information Systems
- Co-authors
- John PorrillBrian R. von KonskyD. James CooperGuy A. OrbanJohn P. FrisbyChiou Peng LamAndrew TurpinMihai Lazarescu
- Topics
- Medical Image Segmentation Techniques (3 papers)Image and Object Detection Techniques (3 papers)Software Engineering Research (2 papers)
- Partner nations
- AustraliaUnited KingdomBelgium
In The Last Decade
Jim Ivins
15 papers receiving 256 citations
Peers
Comparison fields: 5 of 71
- Education 130
- Computer Vision and Pattern Recognition 91
- Computer Science Applications 39
- Media Technology 21
- Information Systems 17
Countries citing papers authored by Jim Ivins
This map shows the geographic impact of Jim Ivins'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 Jim Ivins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Ivins more than expected).
Fields of papers citing papers by Jim Ivins
This network shows the impact of papers produced by Jim Ivins. 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 Jim Ivins. The network helps show where Jim Ivins may publish in the future.
Co-authorship network of co-authors of Jim Ivins
This figure shows the co-authorship network connecting the top 25 collaborators of Jim Ivins. A scholar is included among the top collaborators of Jim Ivins 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 Jim Ivins. Jim Ivins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 127 | |
| 2 | 3 | |
| 3 | Engaging undergraduates in discussions about ethics in computing | 6 |
| 4 | The benefit of information technology in managing outcomes focused curriculum development across related degree programs | 11 |
| 5 | 3 | |
| 6 | 5 | |
| 7 | Psychometric Assessment of Computing Undergraduates. | 5 |
| 8 | 1 | |
| 9 | Using PSP to evaluate student effort in achieving learning outcomes in a software engineering assignment | 5 |
| 10 | Consistency checking between use case scenarios and UML sequence diagrams. | 2 |
| 11 | An Alternate Three-Tiered Architecture for Improving Interoperability for Software Components. | 1 |
| 12 | 6 | |
| 13 | 11 | |
| 14 | 59 | |
| 15 | 44 |
About Jim Ivins
Jim Ivins is a scholar working on Media Technology, Developmental and Educational Psychology and Management Information Systems, having authored 15 papers that have together received 289 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Image and Object Detection Techniques (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Computer Science Applications (39 citations), Computer Vision and Pattern Recognition (91 citations) and Education (130 citations). Jim Ivins has collaborated with scholars based in Australia, United Kingdom and Belgium. Frequent co-authors include John Porrill, Brian R. von Konsky, D. James Cooper, Guy A. Orban, John P. Frisby, Chiou Peng Lam, Andrew Turpin and Mihai Lazarescu. Their work appears in journals such as Image and Vision Computing, Computer Vision and Image Understanding and Perception.
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.