Kobus Barnard

8.9k total citations · 2 hit papers
102 papers, 4.3k citations indexed

About

Kobus Barnard is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Kobus Barnard has authored 102 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 19 papers in Atomic and Molecular Physics, and Optics and 13 papers in Artificial Intelligence. Recurrent topics in Kobus Barnard's work include Advanced Image and Video Retrieval Techniques (31 papers), Image Retrieval and Classification Techniques (29 papers) and Image Enhancement Techniques (23 papers). Kobus Barnard is often cited by papers focused on Advanced Image and Video Retrieval Techniques (31 papers), Image Retrieval and Classification Techniques (29 papers) and Image Enhancement Techniques (23 papers). Kobus Barnard collaborates with scholars based in United States, Canada and Japan. Kobus Barnard's co-authors include Brian Funt, Yimian Dai, David Forsyth, Vlad C. Cardei, Stefan Oehmcke, Yiquan Wu, Fabian Gieseke, Yiquan Wu, Fei Zhou and Lindsay Martin and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Kobus Barnard

99 papers receiving 4.0k citations

Hit Papers

Attentional Feature Fusion 2021 2026 2022 2024 2021 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kobus Barnard United States 32 2.8k 1.3k 713 665 439 102 4.3k
Mark S. Drew Canada 28 2.9k 1.0× 1.4k 1.1× 620 0.9× 177 0.3× 242 0.6× 150 3.7k
Raimondo Schettini Italy 33 3.7k 1.3× 921 0.7× 1.0k 1.5× 199 0.3× 507 1.2× 275 5.1k
Erik Reinhard United States 29 6.2k 2.2× 1.6k 1.2× 1.6k 2.3× 298 0.4× 570 1.3× 108 7.4k
Joost van de Weijer Spain 43 7.1k 2.5× 1.3k 1.0× 1.6k 2.2× 879 1.3× 1.7k 4.0× 139 8.5k
H.J. Trussell United States 29 1.5k 0.5× 906 0.7× 465 0.7× 152 0.2× 274 0.6× 148 3.1k
Kavita Bala United States 44 4.3k 1.5× 434 0.3× 439 0.6× 242 0.4× 603 1.4× 163 6.7k
Theo Gevers Netherlands 39 7.6k 2.7× 965 0.8× 1.4k 1.9× 789 1.2× 1.4k 3.2× 181 9.4k
Yoichi Sato Japan 43 4.5k 1.6× 422 0.3× 534 0.7× 652 1.0× 425 1.0× 246 6.6k
Donald P. Greenberg United States 56 7.1k 2.5× 1.7k 1.4× 607 0.9× 338 0.5× 164 0.4× 175 10.8k
Holly Rushmeier United States 32 3.4k 1.2× 739 0.6× 454 0.6× 450 0.7× 111 0.3× 159 5.5k

Countries citing papers authored by Kobus Barnard

Since Specialization
Citations

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

Fields of papers citing papers by Kobus Barnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kobus Barnard

This figure shows the co-authorship network connecting the top 25 collaborators of Kobus Barnard. A scholar is included among the top collaborators of Kobus Barnard 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 Kobus Barnard. Kobus Barnard 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.
Christenson, C., Jiahuai Hu, Andrea L. Eveland, et al.. (2024). Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks. SHILAP Revista de lepidopterología. 7(1). 1 indexed citations
2.
Schnable, James C., et al.. (2024). PlantSegNet: 3D point cloud instance segmentation of nearby plant organs with identical semantics. Computers and Electronics in Agriculture. 221. 108922–108922. 13 indexed citations
3.
Qin, Yu-Jing, et al.. (2023). Classifying Astronomical Transients Using Only Host Galaxy Photometry. The Astrophysical Journal. 942(1). 29–29. 9 indexed citations
4.
Dai, Yimian, Yiquan Wu, Fei Zhou, & Kobus Barnard. (2021). Asymmetric Contextual Modulation for Infrared Small Target Detection. 949–958. 475 indexed citations breakdown →
5.
Palafox, Leon, Clayton T. Morrison, Jeffrey J. Rodrı́guez, et al.. (2018). A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images. IEEE Transactions on Geoscience and Remote Sensing. 56(10). 5802–5812. 6 indexed citations
6.
Morrison, Clayton T., et al.. (2015). Moderated and Drifting Linear Dynamical Systems. International Conference on Machine Learning. 2473–2482. 2 indexed citations
7.
Barnard, Kobus, et al.. (2011). Modelling and visualizing morphology in the fungus Alternaria. Fungal Biology. 115(11). 1163–1173. 6 indexed citations
8.
Barnard, Kobus, et al.. (2009). Learning models of object structure. Neural Information Processing Systems. 22. 1615–1623. 6 indexed citations
9.
Fan, Quanfu, Kobus Barnard, Arnon Amir, Alon Efrat, & Ming Lin. (2006). Matching slides to presentation videos using SIFT and scene background matching. 239–248. 24 indexed citations
10.
Kraft, Robert, et al.. (2006). Phenotypes ofDrosophilaBrain Neurons in Primary Culture Reveal a Role for Fascin in Neurite Shape and Trajectory. Journal of Neuroscience. 26(34). 8734–8747. 41 indexed citations
11.
Ramanan, Deva, David Forsyth, & Kobus Barnard. (2006). Building models of animals from video. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(8). 1319–1334. 69 indexed citations
12.
Barnard, Kobus, et al.. (2003). Color and Color Constancy in a Translation Model for Object Recognition. Color and Imaging Conference. 11(1). 364–369. 7 indexed citations
13.
Barnard, Kobus, Vlad C. Cardei, & Brian Funt. (2002). A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data. IEEE Transactions on Image Processing. 11(9). 972–984. 305 indexed citations
14.
Barnard, Kobus, Florian Ciurea, & Brian Funt. (2001). Sensor sharpening for computational color constancy. Journal of the Optical Society of America A. 18(11). 2728–2728. 44 indexed citations
15.
Barnard, Kobus & Graham D. Finlayson. (2000). Shadow Identification using Colour Ratios. Color and Imaging Conference. 8(1). 97–101. 41 indexed citations
16.
Barnard, Kobus. (1999). Color Constancy with Fluorescent Surfaces. Color and Imaging Conference. 7(1). 257–261. 16 indexed citations
17.
Cardei, Vlad C., Brian Funt, & Kobus Barnard. (1999). White Point Estimation for Uncalibrated Images. Color and Imaging Conference. 7(1). 97–100. 37 indexed citations
18.
Barnard, Kobus & Brian Funt. (1998). Investigations into Multi-Scale Retinex. Health Education Monographs. 3(1). 44–9. 51 indexed citations
19.
Barnard, Kobus & Brian Funt. (1997). Analysis and Improvement of Multi-Scale Retinex. Color and Imaging Conference. 5(1). 221–226. 32 indexed citations
20.
Funt, Brian, Vlad C. Cardei, & Kobus Barnard. (1996). Learning Color Constancy. Color and Imaging Conference. 4(1). 58–60. 95 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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