Sonya Coleman

3.9k total citations
240 papers, 2.6k citations indexed

About

Sonya Coleman is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Cognitive Neuroscience. According to data from OpenAlex, Sonya Coleman has authored 240 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Computer Vision and Pattern Recognition, 41 papers in Aerospace Engineering and 39 papers in Cognitive Neuroscience. Recurrent topics in Sonya Coleman's work include Advanced Image and Video Retrieval Techniques (40 papers), Robotics and Sensor-Based Localization (39 papers) and Medical Image Segmentation Techniques (29 papers). Sonya Coleman is often cited by papers focused on Advanced Image and Video Retrieval Techniques (40 papers), Robotics and Sensor-Based Localization (39 papers) and Medical Image Segmentation Techniques (29 papers). Sonya Coleman collaborates with scholars based in United Kingdom, China and United States. Sonya Coleman's co-authors include T.M. McGinnity, Dermot Kerr, Ammar Belatreche, Yunzhou Zhang, Chengdong Wu, Bryan Scotney, Yuhua Li, Ziang Zhang, Laxmidhar Behera and Bryan Gardiner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Sonya Coleman

222 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonya Coleman United Kingdom 22 999 418 410 367 336 240 2.6k
Abir Hussain United Kingdom 31 599 0.6× 258 0.6× 874 2.1× 197 0.5× 33 0.1× 229 3.0k
W. Art Chaovalitwongse United States 32 237 0.2× 157 0.4× 717 1.7× 1.1k 3.0× 106 0.3× 118 3.4k
Fakhri Karray Canada 32 1.4k 1.4× 174 0.4× 1.7k 4.1× 300 0.8× 95 0.3× 205 5.1k
H. Pomares Spain 31 1.0k 1.0× 320 0.8× 1.5k 3.7× 121 0.3× 47 0.1× 137 3.7k
George A. Papakostas Greece 31 1.2k 1.2× 411 1.0× 874 2.1× 130 0.4× 85 0.3× 206 3.1k
Sai Ho Ling Australia 34 459 0.5× 171 0.4× 1.5k 3.6× 703 1.9× 128 0.4× 214 4.5k
Luis Enrique Sucar Mexico 27 1.1k 1.1× 96 0.2× 1.0k 2.4× 169 0.5× 325 1.0× 213 2.9k
Adel Elmaghraby United States 28 863 0.9× 84 0.2× 1.2k 2.8× 173 0.5× 130 0.4× 259 3.6k
Panos Liatsis United Kingdom 25 422 0.4× 197 0.5× 496 1.2× 52 0.1× 50 0.1× 160 2.2k
Lovekesh Vig India 18 340 0.3× 178 0.4× 1.1k 2.8× 111 0.3× 73 0.2× 81 2.2k

Countries citing papers authored by Sonya Coleman

Since Specialization
Citations

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

Fields of papers citing papers by Sonya Coleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonya Coleman

This figure shows the co-authorship network connecting the top 25 collaborators of Sonya Coleman. A scholar is included among the top collaborators of Sonya Coleman 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 Sonya Coleman. Sonya Coleman 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
2.
Kerr, Dermot, et al.. (2024). ASL Fingerspelling Classification for Use in Robot Control. SHILAP Revista de lepidopterología. 12–12. 1 indexed citations
3.
Zhang, Yunzhou, Zhenyu Wang, Fei Yang, et al.. (2023). A novel seminar learning framework for weakly supervised salient object detection. Engineering Applications of Artificial Intelligence. 126. 106961–106961. 7 indexed citations
4.
Dunlop, P, et al.. (2023). Glacier area changes in Novaya Zemlya from 1986–89 to 2019–21 using object-based image analysis in Google Earth Engine. Journal of Glaciology. 69(277). 1305–1316. 8 indexed citations
5.
Dunlop, P, et al.. (2023). Glacier area changes in the Arctic and high latitudes using satellite remote sensing. Journal of Maps. 19(1). 1–7. 1 indexed citations
6.
Zhao, Jiaqi, et al.. (2023). A knowledge distillation-based multi-scale relation-prototypical network for cross-domain few-shot defect classification. Journal of Intelligent Manufacturing. 35(2). 841–857. 21 indexed citations
7.
Fang, Zheng, et al.. (2022). Event-VPR: End-to-End Weakly Supervised Deep Network Architecture for Visual Place Recognition Using Event-Based Vision Sensor. IEEE Transactions on Instrumentation and Measurement. 71. 1–18. 19 indexed citations
8.
Rani, Shalli, et al.. (2021). An Efficient and Lightweight Deep Learning Model for Human Activity Recognition Using Smartphones. Sensors. 21(11). 3845–3845. 45 indexed citations
9.
Lapsley, Coral, Andrew McDowell, Margaret McLafferty, et al.. (2021). Variations in the oral microbiome are associated with depression in young adults. Scientific Reports. 11(1). 15009–15009. 70 indexed citations
10.
Coleman, Sonya, et al.. (2021). Magnifying Spontaneous Facial Micro Expressions for Improved Recognition. Ulster University Research Portal (Ulster University). 7930–7936. 4 indexed citations
11.
Zhang, Ziang, Chengdong Wu, Sonya Coleman, & Dermot Kerr. (2020). DENSE-INception U-net for medical image segmentation. Computer Methods and Programs in Biomedicine. 192. 105395–105395. 224 indexed citations
12.
Wu, Yanmin, et al.. (2020). EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association. arXiv (Cornell University). 4966–4973. 68 indexed citations
13.
Coleman, Sonya, et al.. (2019). Human Pulse and Respiratory Signal Analysis using a Robot Hand equipped with a Biomimetic Fingertip. Ulster University Research Portal (Ulster University). 2 indexed citations
14.
McGinnity, T.M., et al.. (2018). A Computational Model of Thalamocortical Dysrhythmia in People With Tinnitus. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(9). 1845–1857. 7 indexed citations
15.
McGinnity, T.M., et al.. (2014). Hardware-based agent modelling: event-driven reactive architecture (EDRA). Adaptive Agents and Multi-Agents Systems. 1497–1498. 1 indexed citations
16.
Healy, Helen, Zaimin Wang, Andrew J. Mallett, et al.. (2013). Chronic kidney disease is a different population: the CKD. Qld registry dataset. Internal Medicine Journal. 43. 42–42. 1 indexed citations
17.
Kerr, Dermot, Sonya Coleman, & Bryan Scotney. (2011). Finite Element Laplacian Feature Detector. 381–384. 1 indexed citations
18.
McGinnity, T.M., et al.. (2010). Incorporating independent component analysis to Q-ball imaging for diffusion orientation distribution reconstruction. PubMed. 23. 2706–2709. 1 indexed citations
19.
Coleman, Sonya, Bryan Scotney, & Bryan Gardiner. (2009). Design of Feature Extraction Operators for use on Biologically Motivated Hexagonal Image Structures. 178–181. 4 indexed citations
20.
Coleman, Sonya, et al.. (2008). Single-step Planar Surface Extraction from Range Images. 363–370. 2 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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