Jim Ivins

408 total citations
15 papers, 289 citations indexed

About

Jim Ivins is a scholar working on Information Systems, Education and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jim Ivins has authored 15 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Education and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jim Ivins's work include Medical Image Segmentation Techniques (3 papers), Image and Object Detection Techniques (3 papers) and Software Engineering Research (2 papers). Jim Ivins is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Image and Object Detection Techniques (3 papers) and Software Engineering Research (2 papers). Jim Ivins collaborates with scholars based in Australia, United Kingdom and Belgium. Jim Ivins's 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 and has published in prestigious journals such as Image and Vision Computing, Computer Vision and Image Understanding and Perception.

In The Last Decade

Jim Ivins

15 papers receiving 256 citations

Peers

Jim Ivins

EDUCA

CVPR

CSA

MT

IS

Negar M. Harandi Canada

Di Xu China

Francisco José Pozuelos Estrada Canada

James Bewes Australia

Stéphane Allaire Canada

Michael Tang United States

Xiaomeng Wu Japan

Miroslav Lovrić Canada

Daniel Mueller Germany

Erik C. Johnson United States

Negar M. Harandi Canada

Jim Ivins

94 ×0.7

EDUCA

50 ×0.5

CVPR

75 ×1.9

CSA

12 ×0.6

MT

21 ×1.2

IS

Citations per year, relative to Jim Ivins Jim Ivins (= 1×) peers Negar M. Harandi

Countries citing papers authored by Jim Ivins

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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15 of 15 papers shown

1.

Konsky, Brian R. von, et al.. (2009). Lecture attendance and web based lecture technologies: A comparison of student perceptions and usage patterns. Australasian Journal of Educational Technology. 25(4). 127 indexed citations

2.

Konsky, Brian R. von & Jim Ivins. (2008). Assessing the capability and maturity of capstone software engineering projects. Australasian Computing Education Conference. 171–180. 3 indexed citations

3.

Konsky, Brian R. von, et al.. (2007). Engaging undergraduates in discussions about ethics in computing. Australasian Computing Education Conference. 163–169. 6 indexed citations

4.

Konsky, Brian R. von, et al.. (2006). The benefit of information technology in managing outcomes focused curriculum development across related degree programs. Australasian Computing Education Conference. 235–242. 11 indexed citations

5.

Ivins, Jim, et al.. (2006). Software Engineers and Engineering: A Survey of Undergraduate Preconceptions. 6–11. 3 indexed citations

6.

Ivins, Jim, et al.. (2006). Student Self-Motivation: Lessons Learned from Teaching First Year Computing. 6–11. 5 indexed citations

7.

Ivins, Jim, et al.. (2005). Psychometric Assessment of Computing Undergraduates.. PPIG. 25. 5 indexed citations

8.

Turpin, Andrew, et al.. (2005). Classifying visual field loss in glaucoma through baseline matching of stable reference sequences. RMIT Research Repository (RMIT University Library). 1 indexed citations

9.

Konsky, Brian R. von, et al.. (2005). Using PSP to evaluate student effort in achieving learning outcomes in a software engineering assignment. Australasian Computing Education Conference. 193–201. 5 indexed citations

10.

Ivins, Jim, et al.. (2004). Consistency checking between use case scenarios and UML sequence diagrams.. 581–589. 2 indexed citations

11.

Ivins, Jim, et al.. (2003). An Alternate Three-Tiered Architecture for Improving Interoperability for Software Components.. 1 indexed citations

12.

Ivins, Jim, John Porrill, John P. Frisby, & Guy A. Orban. (1999). The ‘Ecological’ Probability Density Function for Linear Optic Flow: Implications for Neurophysiology. Perception. 28(1). 17–32. 6 indexed citations

13.

Ivins, Jim & John Porrill. (1998). Constrained Active Region Models for Fast Tracking in Color Image Sequences. Computer Vision and Image Understanding. 72(1). 54–71. 11 indexed citations

14.

Ivins, Jim & John Porrill. (1995). Active region models for segmenting textures and colours. Image and Vision Computing. 13(5). 431–438. 59 indexed citations

15.

Ivins, Jim & John Porrill. (1994). Statistical Snakes: Active Region Models. 37.1–37.10. 44 indexed citations

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.

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