Kurt Debattista

3.8k total citations · 1 hit paper
164 papers, 2.5k citations indexed

About

Kurt Debattista is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kurt Debattista has authored 164 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computer Vision and Pattern Recognition, 51 papers in Computer Graphics and Computer-Aided Design and 24 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kurt Debattista's work include Image Enhancement Techniques (52 papers), Computer Graphics and Visualization Techniques (51 papers) and Advanced Vision and Imaging (50 papers). Kurt Debattista is often cited by papers focused on Image Enhancement Techniques (52 papers), Computer Graphics and Visualization Techniques (51 papers) and Advanced Vision and Imaging (50 papers). Kurt Debattista collaborates with scholars based in United Kingdom, Portugal and China. Kurt Debattista's co-authors include Alan Chalmers, Francesco Banterle, Alessandro Artusi, Patrick Ledda, Alan Chalmers, Jay Bal, Harjinder Singh Lallie, Thomas Bashford‐Rogers, Jungong Han and Jonathan Sze Choong Low and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and IEEE Transactions on Image Processing.

In The Last Decade

Kurt Debattista

158 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review on chemometric techniques with infrared, Raman and laser-induced breakdown spectroscopy for sorting plastic waste in the recycling industry

2022 142 citations Edward Ren Kai Neo, Jonathan Sze Choong Low et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kurt Debattista United Kingdom	25	1.6k	340	334	256	230	164	2.5k
Yingqing Xu China	28	2.1k 1.3×	923 2.7×	217 0.6×	153 0.6×	131 0.6×	102	2.8k
Shen Li China	33	794 0.5×	144 0.4×	91 0.3×	160 0.6×	148 0.6×	176	3.7k
Bo Sun China	24	904 0.6×	406 1.2×	51 0.2×	101 0.4×	89 0.4×	161	1.8k
Brian Price United States	29	3.0k 1.8×	150 0.4×	203 0.6×	150 0.6×	551 2.4×	84	3.4k
Thomas Strothotte Germany	24	1.2k 0.7×	933 2.7×	47 0.1×	284 1.1×	57 0.2×	92	2.0k
Simone Bianco Italy	25	1.6k 1.0×	45 0.1×	715 2.1×	144 0.6×	336 1.5×	105	2.4k
Franc Solina Slovenia	20	1.3k 0.8×	124 0.4×	74 0.2×	112 0.4×	69 0.3×	87	1.9k
Patrick Le Callet France	35	4.2k 2.6×	152 0.4×	470 1.4×	663 2.6×	1.4k 6.0×	253	4.9k
Xiongkuo Min China	39	5.5k 3.4×	187 0.6×	347 1.0×	455 1.8×	2.1k 9.3×	244	6.8k
Dan Xu China	22	1.4k 0.8×	115 0.3×	28 0.1×	143 0.6×	276 1.2×	332	2.6k

Countries citing papers authored by Kurt Debattista

Since Specialization

Citations

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

Fields of papers citing papers by Kurt Debattista

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kurt Debattista

This figure shows the co-authorship network connecting the top 25 collaborators of Kurt Debattista. A scholar is included among the top collaborators of Kurt Debattista 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 Kurt Debattista. Kurt Debattista is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Haghighi, Hamed, et al.. (2025). A Unified Generative Framework for Realistic LiDAR Simulation in Autonomous Driving Systems. IEEE Sensors Journal. 26(3). 5013–5025. 1 indexed citations

Zhang, Qiang, et al.. (2025). Cross-Modality Distillation for Multi-Modal Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5847–5865. 8 indexed citations

Huang, Wenjian, et al.. (2025). Addressing Inconsistent Labeling With Cross Image Matching for Scribble-Based Medical Image Segmentation. IEEE Transactions on Image Processing. 34. 842–853. 8 indexed citations

Huggett, Anthony C., et al.. (2025). A Path Toward Bayer Compression for Automotive Applications. IEEE Open Journal of Vehicular Technology. 7. 598–611.

Koufos, Konstantinos, et al.. (2024). SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies. IEEE Robotics and Automation Letters. 9(11). 9994–10001. 5 indexed citations

Wang, Yi‐Ting, et al.. (2024). Exploring Generative AI for Sim2Real in Driving Data Synthesis. Warwick Research Archive Portal (University of Warwick). 3071–3077. 5 indexed citations

Debattista, Kurt, et al.. (2024). Enhancing visual tracking with a unified temporal Transformer framework. IEEE Transactions on Intelligent Vehicles. 1–15. 2 indexed citations

Chen, Changrui, Jungong Han, & Kurt Debattista. (2024). Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction With Extremely Limited Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(8). 5595–5611. 43 indexed citations

Chen, Changrui, et al.. (2023). Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation. Pattern Recognition. 145. 109881–109881. 20 indexed citations

10.

Bashford‐Rogers, Thomas, et al.. (2023). HDR image-based deep learning approach for automatic detection of split defects on sheet metal stamping parts. The International Journal of Advanced Manufacturing Technology. 125(5-6). 2393–2408. 17 indexed citations

11.

Han, Jungong, et al.. (2023). Textual Context-Aware Dense Captioning With Diverse Words. IEEE Transactions on Multimedia. 25. 8753–8766. 50 indexed citations

12.

Neo, Edward Ren Kai, Jonathan Sze Choong Low, Vannessa Goodship, Stuart R. Coles, & Kurt Debattista. (2023). Cross-modal generative models for multi-modal plastic sorting. Journal of Cleaner Production. 415. 137919–137919. 10 indexed citations

13.

Zhang, Jianguo, et al.. (2022). Semi-Supervised Unpaired Medical Image Segmentation Through Task-Affinity Consistency. IEEE Transactions on Medical Imaging. 42(3). 594–605. 44 indexed citations

14.

Debattista, Kurt, et al.. (2018). Uniform Color Space-Based High Dynamic Range Video Compression. IEEE Transactions on Circuits and Systems for Video Technology. 29(7). 2055–2066. 11 indexed citations

15.

Lallie, Harjinder Singh, Kurt Debattista, & Jay Bal. (2018). Evaluating practitioner cyber-security attack graph configuration preferences. Computers & Security. 79. 117–131. 6 indexed citations

16.

Campisi, Patrizio, Emanuele Maiorana, Kurt Debattista, & Alan Chalmers. (2013). High Dynamic Range media watermarking issues and challanges. Iris (Roma Tre University). 1–5. 1 indexed citations

17.

Chalmers, Alan & Kurt Debattista. (2011). HDR Video: Capturing and Displaying Dynamic Real-world Lighting. Color and Imaging Conference. 19(1). 177–180. 1 indexed citations

18.

Debattista, Kurt. (2009). VAST 2009: The 10th international symposium on virtual reality, archaeology and intelligent cultural heritage, short & project papers. 1 indexed citations

19.

Chalmers, Alan, et al.. (2008). High-fidelity rendering of animations on the grid: a case study. 41–48. 1 indexed citations

20.

Sundstedt, Veronica, Alan Chalmers, Kirsten Cater, & Kurt Debattista. (2004). Top-Down Visual Attention for Efficient Rendering of Task Related Scenes. Bristol Research (University of Bristol). 209–216. 24 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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