Kathy Clawson

430 total citations
20 papers, 287 citations indexed

About

Kathy Clawson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, Kathy Clawson has authored 20 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Kathy Clawson's work include Human Pose and Action Recognition (4 papers), Video Analysis and Summarization (4 papers) and Video Surveillance and Tracking Methods (3 papers). Kathy Clawson is often cited by papers focused on Human Pose and Action Recognition (4 papers), Video Analysis and Summarization (4 papers) and Video Surveillance and Tracking Methods (3 papers). Kathy Clawson collaborates with scholars based in United Kingdom, China and Ireland. Kathy Clawson's co-authors include Peishu Wu, Han Li, Nianyin Zeng, Bryan Scotney, Yonghong Peng, Chenxi Huang, Philip Morrow, Lynne Hall, Declan J. McKenna and O.M. Dolan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Kathy Clawson

20 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathy Clawson United Kingdom 9 108 93 69 39 24 20 287
Gür Emre Güraksın Türkiye 11 105 1.0× 83 0.9× 116 1.7× 19 0.5× 12 0.5× 28 311
Saturnino Vicente-Díaz Spain 11 118 1.1× 155 1.7× 188 2.7× 14 0.4× 17 0.7× 20 429
Unaizah Obaidellah Malaysia 9 66 0.6× 77 0.8× 38 0.6× 37 0.9× 51 2.1× 34 414
José María Rodríguez Corral Spain 10 50 0.5× 93 1.0× 75 1.1× 8 0.2× 62 2.6× 18 299
Caslon Chua Australia 9 56 0.5× 67 0.7× 29 0.4× 21 0.5× 20 0.8× 47 318
Ibrahim Abdulrab Ahmed Saudi Arabia 13 90 0.8× 210 2.3× 140 2.0× 50 1.3× 10 0.4× 34 547
Marcus Bloice Austria 9 78 0.7× 77 0.8× 68 1.0× 17 0.4× 3 0.1× 15 292
Orazio Gambino Italy 11 142 1.3× 88 0.9× 122 1.8× 9 0.2× 4 0.2× 39 358
Nudrat Nida Pakistan 10 162 1.5× 188 2.0× 65 0.9× 194 5.0× 8 0.3× 23 436
Ferhat Bozkurt Türkiye 11 119 1.1× 122 1.3× 75 1.1× 30 0.8× 3 0.1× 38 288

Countries citing papers authored by Kathy Clawson

Since Specialization
Citations

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

Fields of papers citing papers by Kathy Clawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathy Clawson

This figure shows the co-authorship network connecting the top 25 collaborators of Kathy Clawson. A scholar is included among the top collaborators of Kathy Clawson 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 Kathy Clawson. Kathy Clawson 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.
Li, Han, Nianyin Zeng, Peishu Wu, & Kathy Clawson. (2022). Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision. Expert Systems with Applications. 207. 118029–118029. 100 indexed citations
2.
Hong, Danfeng, et al.. (2021). A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement. Neural Computing and Applications. 35(31). 22855–22863. 2 indexed citations
3.
Huang, Chenxi, Junsheng Zhou, Jinling Chen, et al.. (2021). A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction. Neural Computing and Applications. 35(16). 11517–11529. 20 indexed citations
4.
Hall, Lynne, et al.. (2020). Design, Development, and Usability of a Virtual Environment on Moral, Social, and Emotional Leaning. Sunderland Repository (University of Sunderland). 10(2). 50–65. 10 indexed citations
5.
Clawson, Kathy, et al.. (2020). Medical Formulation Recognition (MFR) using Deep Feature Learning and One Class SVM. 2. 1–7. 3 indexed citations
6.
7.
Lin, R., et al.. (2020). ADPM: An Alzheimer’s Disease Prediction Model for Time Series Neuroimage Analysis. IEEE Access. 8. 62601–62609. 8 indexed citations
8.
Hall, Lynne, et al.. (2019). Co-design with Children: Using Participatory Design for Design Thinking and Social and Emotional Learning. SHILAP Revista de lepidopterología. 1(1). 267–280. 24 indexed citations
9.
Clawson, Kathy, et al.. (2018). Human Centric Facial Expression Recognition. Electronic workshops in computing. 7 indexed citations
10.
Clawson, Kathy, et al.. (2017). Saving Cultural Heritage with Digital Make-Believe: Machine Learning and Digital Techniques to the Rescue. Electronic workshops in computing. 18 indexed citations
11.
12.
Chen, Shuwei, et al.. (2014). Uncertainty Reasoning Based Formal Framework for Big Video Data Understanding. Research Portal (Queen's University Belfast). 487–494. 4 indexed citations
13.
Little, Suzanne, Kathy Clawson, Marcos Nieto, et al.. (2013). An information retrieval approach to identifying infrequent events in surveillance video. 223–230. 10 indexed citations
14.
Liu, Xueqin, Kathy Clawson, Hui Wang, Bryan Scotney, & Jun Liu. (2013). Complex event recognition with uncertainty reasoning. 1823–1828. 3 indexed citations
15.
Little, Suzanne, et al.. (2013). Identifying and Addressing Challenges for Search and Analysis of Disparate Surveillance Video Archives. 1.09–1.09. 4 indexed citations
16.
Little, Suzanne, Cem Direkoğlu, Noel E. O’Connor, et al.. (2012). SAVASA Project @ TRECVID 2012: Interactive Surveillance Event Detection. Arrow@dit (Dublin Institute of Technology). 2 indexed citations
17.
Clawson, Kathy, et al.. (2009). Analysis of Pigmented Skin Lesion Border Irregularity Using the Harmonic Wavelet Transform. 18–23. 16 indexed citations
18.
Clawson, Kathy, Philip Morrow, Bryan Scotney, Declan J. McKenna, & O.M. Dolan. (2007). Determination of Optimal Axes for Skin Lesion Asymmetry Quantification. II – 453. 20 indexed citations
19.
Clawson, Kathy, Philip Morrow, Bryan Scotney, Declan J. McKenna, & O.M. Dolan. (2007). Computerised Skin Lesion Surface Analysis for Pigment Asymmetry Quantification. 18. 75–82. 6 indexed citations
20.
Clawson, Kathy, et al.. (2006). Evaluation of Skin Lesion Asymmetry using Fourier Descriptors. Sunderland Repository (University of Sunderland). 18–25. 1 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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