Cara MacNish
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Media Technology top 5%
- Civil and Structural Engineering
- Co-authors
- Arcady DyskinGhulam Mubashar HassanBerwin A. TurlachK. VijayanRajendra GuptaIgor ShufrinElena PasternakDavid Clark
- Topics
- Optical measurement and interference techniques (9 papers)Metaheuristic Optimization Algorithms Research (7 papers)Evolutionary Algorithms and Applications (6 papers)
In The Last Decade
Cara MacNish
35 papers receiving 353 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 128
- Artificial Intelligence 114
- Computational Theory and Mathematics 75
- Media Technology 62
- Civil and Structural Engineering 52
Countries citing papers authored by Cara MacNish
This map shows the geographic impact of Cara MacNish'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 Cara MacNish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cara MacNish more than expected).
Fields of papers citing papers by Cara MacNish
This network shows the impact of papers produced by Cara MacNish. 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 Cara MacNish. The network helps show where Cara MacNish may publish in the future.
Co-authorship network of co-authors of Cara MacNish
This figure shows the co-authorship network connecting the top 25 collaborators of Cara MacNish. A scholar is included among the top collaborators of Cara MacNish 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 Cara MacNish. Cara MacNish 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 | 3 | |
| 3 | 23 | |
| 4 | 5 | |
| 5 | 25 | |
| 6 | 34 | |
| 7 | Students’ experiences of threshold capability development with intensive mode teaching | 2 |
| 8 | Student experiences of threshold capability development in an engineering unit with intensive mode | 3 |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | Statistical Exploratory Analysis of Genetic Algorithms: The Influence of Gray Codes upon the Difficulty of a Problem | 2 |
| 18 | Machiine Learning and Visualisation Techniques for Inferring Logical Errors in Student Code Submissions | 5 |
| 19 | 1 | |
| 20 | From Nanotechnology to Nano-Planning | 2 |
About Cara MacNish
Cara MacNish is a scholar working on Media Technology, Geology and Architecture, having authored 36 papers that have together received 370 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (9 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (6 papers). The work is most often cited by research in Computer Science Applications (41 citations), Media Technology (62 citations) and Computer Vision and Pattern Recognition (128 citations). Cara MacNish has collaborated with scholars based in Australia, Russia and Bulgaria. Frequent co-authors include Arcady Dyskin, Ghulam Mubashar Hassan, Berwin A. Turlach, K. Vijayan, Rajendra Gupta, Igor Shufrin, Elena Pasternak, David Clark, Gordon Royle and Xin Yao. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Engineering Fracture Mechanics and Journal of Biomedical Optics.
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.