Fred Nicolls

1.2k total citations
41 papers, 314 citations indexed

About

Fred Nicolls is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Fred Nicolls has authored 41 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Fred Nicolls's work include Advanced Vision and Imaging (9 papers), Optical measurement and interference techniques (6 papers) and Robotics and Sensor-Based Localization (6 papers). Fred Nicolls is often cited by papers focused on Advanced Vision and Imaging (9 papers), Optical measurement and interference techniques (6 papers) and Robotics and Sensor-Based Localization (6 papers). Fred Nicolls collaborates with scholars based in South Africa, United Kingdom and Poland. Fred Nicolls's co-authors include C.T. Gaunt, Sharief Hendricks, Mike Lambert, G. de Jager, Sandy Engelhardt, Bruce Spottiswoode, Tom E. Bishop, Yulin V. Chang, Stéfan du Plessis and Amir Patel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Power Delivery.

In The Last Decade

Fred Nicolls

37 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred Nicolls South Africa 8 74 74 56 53 52 41 314
Yingjie Liu China 11 89 1.2× 60 0.8× 17 0.3× 48 0.9× 44 0.8× 66 469
Stanley Chien United States 10 62 0.8× 62 0.8× 7 0.1× 51 1.0× 29 0.6× 75 492
Tai‐Lang Jong Taiwan 14 64 0.9× 56 0.8× 22 0.4× 249 4.7× 14 0.3× 55 546
Thierry Serre France 15 57 0.8× 12 0.2× 32 0.6× 10 0.2× 99 1.9× 54 583
Yoshifumi Nishida Japan 8 54 0.7× 260 3.5× 8 0.1× 16 0.3× 33 0.6× 62 576
B. M. Kwak South Korea 13 145 2.0× 6 0.1× 29 0.5× 44 0.8× 139 2.7× 30 622
Yiting Li Singapore 7 64 0.9× 112 1.5× 5 0.1× 12 0.2× 47 0.9× 11 440
Arvind J. Padgaonkar United States 7 59 0.8× 11 0.1× 28 0.5× 19 0.4× 28 0.5× 9 524
Jérôme Schmid Switzerland 11 163 2.2× 108 1.5× 30 0.5× 11 0.2× 212 4.1× 30 419
Chuanbin Liu China 10 39 0.5× 197 2.7× 6 0.1× 22 0.4× 69 1.3× 34 408

Countries citing papers authored by Fred Nicolls

Since Specialization
Citations

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

Fields of papers citing papers by Fred Nicolls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Nicolls

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Nicolls. A scholar is included among the top collaborators of Fred Nicolls 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 Fred Nicolls. Fred Nicolls 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.
Mishra, Vikash Kumar, et al.. (2025). AEDMA-NDMAI: Automatic Extraction and Daily Monitoring of Algal Blooms Using Normalized Difference MODIS Algae Index. Applied Sciences. 15(17). 9275–9275. 1 indexed citations
2.
Mishra, Vikash Kumar, et al.. (2025). Application of Multispectral Imagery and Synthetic Aperture Radar Sensors for Monitoring Algal Blooms: A Review. KTH Publication Database DiVA (KTH Royal Institute of Technology). 5(4). 71–71.
3.
Hudson, Penny E., et al.. (2024). Markerless 3D kinematics and force estimation in cheetahs. Scientific Reports. 14(1). 10579–10579. 1 indexed citations
4.
Nicolls, Fred, et al.. (2024). Toward Noncontact Muscle Activity Estimation Using FMCW Radar. IEEE Sensors Journal. 24(22). 37595–37606. 1 indexed citations
5.
Nicolls, Fred, et al.. (2023). ENHANCING DISTRACTED DRIVER DETECTION WITH HUMAN BODY ACTIVITY RECOGNITION USING DEEP LEARNING. The South African Journal of Industrial Engineering. 34(4). 1 indexed citations
6.
Nicolls, Fred, et al.. (2022). Cross-dataset performance evaluation of deep learning distracted driver detection algorithms. SHILAP Revista de lepidopterología. 370. 7002–7002. 4 indexed citations
7.
Nicolls, Fred, et al.. (2022). Improving 3D Markerless Pose Estimation of Animals in the Wild using Low-Cost Cameras. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3770–3776. 2 indexed citations
8.
Nicolls, Fred, et al.. (2020). Automatic classification of medical X-ray images with convolutional neural networks. 1–4. 4 indexed citations
9.
Dendere, Ronald, et al.. (2016). Monte-Carlo simulation of a slot-scanning digital mammography system for tomosynthesis. Journal of X-Ray Science and Technology. 24(2). 191–206. 1 indexed citations
10.
Dendere, Ronald, et al.. (2015). Monte-Carlo simulation of a slot-scanning X-ray imaging system. Physica Medica. 32(1). 284–289. 5 indexed citations
11.
Nicolls, Fred, et al.. (2015). Automating Transmission-LineFault Root Cause Analysis. IEEE Transactions on Power Delivery. 31(4). 1692–1700. 30 indexed citations
12.
Nicolls, Fred, et al.. (2014). Active Shape Models with SIFT Descriptors and MARS. 2. 380–387. 1 indexed citations
13.
Spottiswoode, Bruce, et al.. (2013). Preoperative Three-Dimensional Model Creation of Magnetic Resonance Brain Images as a Tool to Assist Neurosurgical Planning. Stereotactic and Functional Neurosurgery. 91(3). 162–169. 59 indexed citations
14.
Hendricks, Sharief, et al.. (2012). Velocity and acceleration before contact in the tackle during rugby union matches. Journal of Sports Sciences. 30(12). 1215–1224. 61 indexed citations
15.
Nicolls, Fred, et al.. (2012). A study of the sensitivity of long-range passive ranging techniques to atmospheric scintillation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8399. 83990O–83990O. 2 indexed citations
16.
Nicolls, Fred, et al.. (2011). Quantitative analysis of the improvement in omnidirectional maritime surveillance and tracking due to real-time image enhancement. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8052. 80520F–80520F. 2 indexed citations
17.
Nicolls, Fred, et al.. (2009). Alternative confidence measure for local matching stereo algorithms. 1 indexed citations
18.
Nicolls, Fred, et al.. (2007). Improved sparse correspondence resolution using loopy belief propagation with MRF clique based structure preservation. 88–93. 1 indexed citations
19.
Nicolls, Fred, et al.. (2005). Watershed-based segmentation of rock scenes and proximity-based classification of watershed regions under uncontrolled lighting. SAIEE Africa Research Journal. 96(1). 28–34. 15 indexed citations
20.
Nicolls, Fred. (2004). Proceedings of the Fifteenth Annual Symposium of the Pattern Recognition Association of South Africa. 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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