Michael J. Cree

5.0k total citations · 1 hit paper
124 papers, 2.8k citations indexed

About

Michael J. Cree is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Michael J. Cree has authored 124 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Instrumentation, 43 papers in Computer Vision and Pattern Recognition and 30 papers in Biomedical Engineering. Recurrent topics in Michael J. Cree's work include Advanced Optical Sensing Technologies (44 papers), Optical measurement and interference techniques (22 papers) and Retinal Imaging and Analysis (19 papers). Michael J. Cree is often cited by papers focused on Advanced Optical Sensing Technologies (44 papers), Optical measurement and interference techniques (22 papers) and Retinal Imaging and Analysis (19 papers). Michael J. Cree collaborates with scholars based in New Zealand, China and United Kingdom. Michael J. Cree's co-authors include Herbert F. Jelinek, Roberto M. César, J. J. G. Leandro, João V. B. Soares, Adrian A. Dorrington, Peter F. Sharp, Andrew D. Payne, K C McHardy, Philip J. Bones and Lee Streeter and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Signal Processing.

In The Last Decade

Michael J. Cree

118 papers receiving 2.6k citations

Hit Papers

Retinal vessel segmentation using the 2-D Gabor wavelet a... 2006 2026 2012 2019 2006 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael J. Cree New Zealand 24 1.9k 1.5k 1.4k 509 371 124 2.8k
D. Robert Iskander Poland 28 1.4k 0.8× 1.1k 0.7× 257 0.2× 9 0.0× 262 0.7× 179 2.5k
Chandra Sekhar Seelamantula India 21 235 0.1× 125 0.1× 680 0.5× 21 0.0× 267 0.7× 168 1.7k
Kenneth W. Tobin United States 21 857 0.5× 676 0.5× 673 0.5× 5 0.0× 170 0.5× 111 1.6k
Eric Clarkson United States 22 1.1k 0.6× 41 0.0× 255 0.2× 36 0.1× 655 1.8× 113 1.7k
Otkrist Gupta United States 10 76 0.0× 65 0.0× 299 0.2× 484 1.0× 267 0.7× 17 1.0k
Aswin C. Sankaranarayanan United States 26 124 0.1× 29 0.0× 1.2k 0.9× 339 0.7× 537 1.4× 101 2.2k
Marcin Kowalski Poland 16 365 0.2× 111 0.1× 297 0.2× 15 0.0× 93 0.3× 93 1.1k
Peng Feng China 19 383 0.2× 61 0.0× 383 0.3× 13 0.0× 354 1.0× 116 1.1k
Wojciech Jarosz United States 34 253 0.1× 19 0.0× 2.0k 1.5× 173 0.3× 123 0.3× 123 2.9k
Shahram Shirani Canada 25 74 0.0× 41 0.0× 1.6k 1.2× 147 0.3× 315 0.8× 177 2.4k

Countries citing papers authored by Michael J. Cree

Since Specialization
Citations

This map shows the geographic impact of Michael J. Cree'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 Michael J. Cree with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Cree more than expected).

Fields of papers citing papers by Michael J. Cree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Cree. 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 Michael J. Cree. The network helps show where Michael J. Cree may publish in the future.

Co-authorship network of co-authors of Michael J. Cree

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Cree. A scholar is included among the top collaborators of Michael J. Cree 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 Michael J. Cree. Michael J. Cree is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wilson, Marcus T., et al.. (2025). Effect of Pauses in Cycling on Millihertz Battery Impedance. IEEE Access. 13. 198289–198300.
2.
Cree, Michael J., et al.. (2024). Rapid time-domain simulation of fractional capacitors with SPICE. Journal of Computational Electronics. 23(3). 677–689. 3 indexed citations
3.
Chen, Yifan, et al.. (2023). Semi-Autonomous In Vivo Computation in Internet of Bio-Nano Things. IEEE Internet of Things Journal. 10(19). 16845–16855. 3 indexed citations
4.
Gong, Zheng, et al.. (2023). Wearable Microwave Medical Sensing for Stroke Classification and Localization: A Space-Division-Based Decision-Tree Learning Method. IEEE Transactions on Antennas and Propagation. 71(8). 6906–6917. 14 indexed citations
5.
Cree, Michael J., et al.. (2023). Research and Application of the Adaptive Model of the Human Visual System for Improving the Effectiveness of Objective Video Quality Metrics. SHILAP Revista de lepidopterología. 192–197. 1 indexed citations
6.
Chen, Yifan, et al.. (2022). In vivo computation with sensor fusion and search acceleration for smart tumor homing. Computers in Biology and Medicine. 148. 105887–105887. 2 indexed citations
7.
Gong, Zheng, Yifan Chen, Xiaoyou Lin, & Michael J. Cree. (2021). Contrast-Enhanced Microwave Cancer Detection Using Angle-of-Arrival Approach. IEEE Transactions on Antennas and Propagation. 70(5). 3772–3780. 8 indexed citations
8.
Gong, Zheng, et al.. (2021). Generic Wideband Phantom Design Methodology for Microwave Medical Applications. IEEE Antennas and Wireless Propagation Letters. 20(8). 1488–1492. 11 indexed citations
9.
Chen, Yifan, et al.. (2021). Autonomous In Vivo Computation in Internet of Nano Bio Things. IEEE Internet of Things Journal. 9(8). 6134–6147. 6 indexed citations
10.
Frank, Eibe, et al.. (2018). Difference in details: transfer learning case study of "cryptic" plants and moths. Research Commons (University of Waikato). 1 indexed citations
11.
Gouk, Henry, Bernhard Pfahringer, & Michael J. Cree. (2016). Learning Distance Metrics for Multi-Label Classification. Research Commons (University of Waikato). 63. 318–333. 10 indexed citations
12.
Perrone, John A., et al.. (2014). Proceedings of the 29th International Conference on Image and Vision Computing New Zealand. 1 indexed citations
13.
Jelinek, Herbert F., Michael J. Cree, J. J. G. Leandro, et al.. (2007). Automated segmentation of retinal blood vessels and identification of proliferative diabetic retinopathy. Journal of the Optical Society of America A. 24(5). 1448–1448. 46 indexed citations
14.
Jelinek, Herbert F., et al.. (2005). Towards vessel characterisation in the vicinity of the optic disc in digital retinal images. 30 indexed citations
15.
Soares, João–Bruno, et al.. (2005). USING THE 2-D MORLET WAVELET WITH SUPERVISED CLASSIFICATION FOR RETINAL VESSEL SEGMENTATION. Charles Sturt University Research Output (CRO). 0–0. 12 indexed citations
16.
Cree, Michael J., David Cornforth, & Herbert F. Jelinek. (2005). Vessel segmentation and tracking using a two-dimensional model. 21 indexed citations
17.
Cree, Michael J., Adrian A. Dorrington, & Dale A. Carnegie. (2005). A Heterodyning Range Imager. Machine Vision and Applications. 80–83. 3 indexed citations
18.
Luckie, Alan, Herbert F. Jelinek, Michael J. Cree, et al.. (2004). Identification and follow–up of diabetic retinopathy in rural health in Australia: an automated screening model. Investigative Ophthalmology & Visual Science. 45(13). 5245–5245. 4 indexed citations
19.
Cree, Michael J.. (1998). Preprocessing of Fluorescein Angiographic Retinal Images.. 67–72. 1 indexed citations
20.
Cree, Michael J. & Philip J. Bones. (1993). Algorithms to numerically evaluate the Hankel transform. Computers & Mathematics with Applications. 26(1). 1–12. 29 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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