Arnold Wiliem

1.4k total citations
62 papers, 808 citations indexed

About

Arnold Wiliem is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Arnold Wiliem has authored 62 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 15 papers in Media Technology. Recurrent topics in Arnold Wiliem's work include Video Surveillance and Tracking Methods (13 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Processing Techniques and Applications (12 papers). Arnold Wiliem is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Processing Techniques and Applications (12 papers). Arnold Wiliem collaborates with scholars based in Australia, Italy and China. Arnold Wiliem's co-authors include Brian C. Lovell, Peter Hobson, Daniel F. Smith, Gennaro Percannella, Mario Vento, Mehrtash Harandi, Wageeh Boles, Prasad Yarlagadda, Vamsi Krishna Madasu and Conrad Sanderson and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Arnold Wiliem

57 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnold Wiliem Australia 16 544 239 222 122 90 62 808
Diego Gragnaniello Italy 19 974 1.8× 200 0.8× 133 0.6× 15 0.1× 54 0.6× 41 1.4k
Kuan Li China 10 305 0.6× 353 1.5× 58 0.3× 13 0.1× 45 0.5× 35 593
Yanbu Guo China 13 353 0.6× 163 0.7× 302 1.4× 11 0.1× 20 0.2× 35 1.0k
Muhammad Almas Anjum Pakistan 20 834 1.5× 564 2.4× 54 0.2× 25 0.2× 43 0.5× 55 1.5k
Y. Alp Aslandogan United States 16 464 0.9× 768 3.2× 54 0.2× 6 0.0× 100 1.1× 34 1.5k
Zhenhua Feng China 22 897 1.6× 197 0.8× 73 0.3× 33 0.3× 3 0.0× 90 1.3k
Jing-Ming Guo Taiwan 22 1.1k 2.0× 147 0.6× 235 1.1× 6 0.0× 6 0.1× 67 1.5k
Edoardo Ardizzone Italy 15 758 1.4× 144 0.6× 182 0.8× 3 0.0× 84 0.9× 98 992
Xiangzhong Fang China 14 354 0.7× 191 0.8× 42 0.2× 8 0.1× 11 0.1× 87 805

Countries citing papers authored by Arnold Wiliem

Since Specialization
Citations

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

Fields of papers citing papers by Arnold Wiliem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arnold Wiliem. 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 Arnold Wiliem. The network helps show where Arnold Wiliem may publish in the future.

Co-authorship network of co-authors of Arnold Wiliem

This figure shows the co-authorship network connecting the top 25 collaborators of Arnold Wiliem. A scholar is included among the top collaborators of Arnold Wiliem 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 Arnold Wiliem. Arnold Wiliem 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.
Tran, Martin, et al.. (2024). SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions. 821–829. 3 indexed citations
2.
3.
Zhang, Teng, et al.. (2019). Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks. 4170–4174. 5 indexed citations
4.
Smith, Daniel F., Kun Zhao, Arnold Wiliem, et al.. (2017). An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images. 814–820. 7 indexed citations
5.
Yang, Siqi, Arnold Wiliem, & Brian C. Lovell. (2016). To face or not to face: Towards reducing false positive of face detection. 1–6. 5 indexed citations
6.
Harandi, Mehrtash, Brian C. Lovell, Gennaro Percannella, et al.. (2016). Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence images analysis. Pattern Recognition Letters. 82. 1–2. 1 indexed citations
7.
8.
Hobson, Peter, Brian C. Lovell, Gennaro Percannella, et al.. (2016). HEp-2 staining pattern recognition at cell and specimen levels: Datasets, algorithms and results. Pattern Recognition Letters. 82. 12–22. 22 indexed citations
9.
Hobson, Peter, Brian C. Lovell, Gennaro Percannella, Mario Vento, & Arnold Wiliem. (2015). Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset. Artificial Intelligence in Medicine. 65(3). 239–250. 55 indexed citations
10.
Wiliem, Arnold, et al.. (2015). An Optimization Approach to Scanning Skin Direct Immunofluorescence Specimens. 1–8. 4 indexed citations
11.
Wiliem, Arnold, et al.. (2015). A multiple covariance approach for cell detection of Gram-stained smears images. 47. 932–936. 7 indexed citations
12.
Zhao, Kun, Arnold Wiliem, & Brian C. Lovell. (2015). Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition. 4. 1–6. 5 indexed citations
13.
Hobson, Peter, Brian C. Lovell, Gennaro Percannella, Mario Vento, & Arnold Wiliem. (2014). Classifying Anti-nuclear Antibodies HEp-2 Images: A Benchmarking Platform. 3233–3238. 21 indexed citations
14.
Alavi, Azadeh, Arnold Wiliem, Kun Zhao, Brian C. Lovell, & Conrad Sanderson. (2014). Random projections on manifolds of Symmetric Positive Definite matrices for image classification. arXiv (Cornell University). 301–308. 9 indexed citations
15.
Yang, Yan, Arnold Wiliem, Azadeh Alavi, Brian C. Lovell, & Peter Hobson. (2013). Visual learning and classification of human epithelial type 2 cell images through spontaneous activity patterns. Pattern Recognition. 47(7). 2325–2337. 14 indexed citations
16.
Yang, Yan, Arnold Wiliem, Azadeh Alavi, & Peter Hobson. (2013). Classification of human epithelial type 2 cell images using independent component analysis. 733–737. 10 indexed citations
17.
Zhang, Teng, Arnold Wiliem, & Brian C. Lovell. (2013). Region-Based Anomaly Localisation in Crowded Scenes via Trajectory Analysis and Path Prediction. 18. 1–7. 4 indexed citations
18.
Wiliem, Arnold, Vamsi Krishna Madasu, Wageeh Boles, & Prasad Yarlagadda. (2009). A context-based approach for detecting suspicious behaviours. QUT ePrints (Queensland University of Technology).
19.
Wiliem, Arnold, Vamsi Krishna Madasu, Wageeh Boles, & Prasad Yarlagadda. (2008). Detecting commonly occupied regions in video sequences. 2. 1–6. 2 indexed citations
20.
Wiliem, Arnold, Vamsi Krishna Madasu, Wageeh Boles, & Prasad Yarlagadda. (2007). A feature based face recognition technique using Zernike moments. Faculty of Built Environment and Engineering. 7 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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