Nicolas Pugeault

2.0k total citations
56 papers, 1.1k citations indexed

About

Nicolas Pugeault is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Nicolas Pugeault has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 20 papers in Aerospace Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Nicolas Pugeault's work include Robotics and Sensor-Based Localization (20 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Advanced Vision and Imaging (14 papers). Nicolas Pugeault is often cited by papers focused on Robotics and Sensor-Based Localization (20 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Advanced Vision and Imaging (14 papers). Nicolas Pugeault collaborates with scholars based in United Kingdom, Denmark and Germany. Nicolas Pugeault's co-authors include Richard Bowden, Norbert Krüger, Emre Başeski, Eng-Jon Ong, Dirk Kraft, Justus Piater, Helen Cooper, Renaud Detry, Mila Popović and Sinan Kalkan and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Nicolas Pugeault

54 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Pugeault United Kingdom 18 591 409 230 226 211 56 1.1k
Qilin Zhang China 18 592 1.0× 345 0.8× 50 0.2× 196 0.9× 77 0.4× 56 1.1k
P. V. V. Kishore India 22 798 1.4× 832 2.0× 131 0.6× 412 1.8× 60 0.3× 113 1.6k
Michael Van den Bergh Switzerland 9 476 0.8× 362 0.9× 144 0.6× 58 0.3× 55 0.3× 11 722
Carlos R. del‐Blanco Spain 15 679 1.1× 195 0.5× 83 0.4× 44 0.2× 295 1.4× 57 992
Antonio S. Montemayor Spain 15 545 0.9× 196 0.5× 82 0.4× 36 0.2× 83 0.4× 41 845
Hyung Jin Chang United Kingdom 21 1.4k 2.4× 465 1.1× 575 2.5× 15 0.1× 285 1.4× 79 1.9k
Chan-Su Lee South Korea 14 658 1.1× 122 0.3× 128 0.6× 26 0.1× 32 0.2× 48 851
Dustin Freeman Canada 6 1.1k 1.9× 326 0.8× 111 0.5× 20 0.1× 740 3.5× 11 1.6k
Srinath Sridhar United States 11 874 1.5× 498 1.2× 245 1.1× 10 0.0× 61 0.3× 35 1.2k
Joseph L. Cooper United States 10 256 0.4× 88 0.2× 79 0.3× 29 0.1× 308 1.5× 19 813

Countries citing papers authored by Nicolas Pugeault

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Pugeault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Pugeault

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Pugeault. A scholar is included among the top collaborators of Nicolas Pugeault 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 Nicolas Pugeault. Nicolas Pugeault 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, Xin, et al.. (2024). Efficient Autonomous Exploration with Dueling DDQN Enhancing Active SLAM through Reinforcement Learning. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 123–130.
2.
Kascenas, Antanas, Pedro Sanchez, Chaoyang Wang, et al.. (2023). The role of noise in denoising models for anomaly detection in medical images. Medical Image Analysis. 90. 102963–102963. 22 indexed citations
3.
Kirkwood, Charlie, Theo Economou, Henry Odbert, & Nicolas Pugeault. (2021). A framework for probabilistic weather forecast post-processing across models and lead times using machine learning. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2194). 20200099–20200099. 26 indexed citations
4.
Kerr, Thomas H., James R. Clark, Elaine S. Fileman, Claire E. Widdicombe, & Nicolas Pugeault. (2020). Collaborative Deep Learning Models to Handle Class Imbalance in FlowCam Plankton Imagery. IEEE Access. 8. 170013–170032. 19 indexed citations
5.
Hadfield, Simon, et al.. (2019). SeDAR: Reading Floorplans Like a Human—Using Deep Learning to Enable Human-Inspired Localisation. International Journal of Computer Vision. 128(5). 1286–1310. 8 indexed citations
6.
Kangin, Dmitry & Nicolas Pugeault. (2018). Continuous Control With a Combination of Supervised and Reinforcement Learning. Open Research Exeter (University of Exeter). 174. 1–8. 3 indexed citations
7.
Wimmer, Marina C., Katie Maras, Elizabeth J. Robinson, Martin Doherty, & Nicolas Pugeault. (2015). How Visuo-Spatial Mental Imagery Develops: Image Generation and Maintenance. PLoS ONE. 10(11). e0142566–e0142566. 17 indexed citations
8.
Pugeault, Nicolas & Richard Bowden. (2015). How Much of Driving Is Preattentive?. IEEE Transactions on Vehicular Technology. 64(12). 5424–5438. 35 indexed citations
9.
Kraft, Dirk, Mila Popović, Anders Glent Buch, et al.. (2015). Using surfaces and surface relations in an Early Cognitive Vision system. Machine Vision and Applications. 26(7-8). 933–954. 2 indexed citations
10.
Pugeault, Nicolas, et al.. (2015). Multi-view object instance recognition in an industrial context. Robotica. 35(2). 271–292. 6 indexed citations
11.
Çelikkanat, Hande, et al.. (2014). Learning and using context on a humanoid robot using latent dirichlet allocation. Open Research Exeter (University of Exeter). 171. 201–207. 6 indexed citations
12.
Pugeault, Nicolas & Richard Bowden. (2011). Spelling it out: Real-time ASL fingerspelling recognition. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1114–1119. 282 indexed citations
13.
Krüger, Norbert, Nicolas Pugeault, Emre Başeski, et al.. (2010). Early Cognitive Vision as a Frontend for Cognitive Systems. University of Southern Denmark Research Portal (University of Southern Denmark). 6 indexed citations
14.
Başeski, Emre, Nicolas Pugeault, Sinan Kalkan, et al.. (2010). Using multi-modal 3D contours and their relations for vision and robotics. Journal of Visual Communication and Image Representation. 21(8). 850–864. 10 indexed citations
15.
Pugeault, Nicolas, Florentin Wörgötter, & Norbert Krüger. (2010). Disambiguating Multi–Modal Scene Representations Using Perceptual Grouping Constraints. PLoS ONE. 5(6). e10663–e10663. 4 indexed citations
16.
Başeski, Emre, et al.. (2009). Bayesian Reasoning Using 3D Relations for Lane Marker Detection. University of Southern Denmark Research Portal (University of Southern Denmark). 127–134. 2 indexed citations
17.
Detry, Renaud, Nicolas Pugeault, & Justus Piater. (2009). A Probabilistic Framework for 3D Visual Object Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(10). 1790–1803. 44 indexed citations
18.
Kraft, Dirk, Emre Başeski, Mila Popović, et al.. (2008). Exploration and Planning in a Three-Level Cognitive Architecture. University of Southern Denmark Research Portal (University of Southern Denmark). 17 indexed citations
19.
Pugeault, Nicolas, et al.. (2008). Accumulated Visual Representation for Cognitive Vision. University of Southern Denmark Research Portal (University of Southern Denmark). 98.1–98.10. 9 indexed citations
20.
Wörgötter, Florentin, Norbert Krüger, Nicolas Pugeault, et al.. (2004). Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing. Natural Computing. 3(3). 293–321. 15 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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