Stéphane Derrode

1.3k total citations
42 papers, 660 citations indexed

About

Stéphane Derrode is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Stéphane Derrode has authored 42 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 8 papers in Control and Systems Engineering. Recurrent topics in Stéphane Derrode's work include Target Tracking and Data Fusion in Sensor Networks (12 papers), Image Retrieval and Classification Techniques (9 papers) and Bayesian Methods and Mixture Models (6 papers). Stéphane Derrode is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (12 papers), Image Retrieval and Classification Techniques (9 papers) and Bayesian Methods and Mixture Models (6 papers). Stéphane Derrode collaborates with scholars based in France, Tunisia and Oman. Stéphane Derrode's co-authors include Faouzi Ghorbel, Wojciech Pieczynski, Cyril Carincotte, Salah Bourennane, Grégoire Mercier, Haoyu Li, Sami Dhahbi, Mohamed Daoudi, Roberto Garello and Jean‐Marc Le Caillec and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing.

In The Last Decade

Stéphane Derrode

41 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Derrode France 13 303 201 166 80 78 42 660
Kie B. Eom United States 13 278 0.9× 122 0.6× 222 1.3× 42 0.5× 60 0.8× 39 605
Qi Lv China 14 256 0.8× 212 1.1× 117 0.7× 43 0.5× 52 0.7× 59 690
K.C. Chou United States 9 273 0.9× 207 1.0× 79 0.5× 123 1.5× 79 1.0× 24 599
Cheng Tan China 12 250 0.8× 325 1.6× 52 0.3× 49 0.6× 53 0.7× 41 1.0k
Qian Yin China 16 181 0.6× 211 1.0× 89 0.5× 108 1.4× 27 0.3× 82 858
Victor-Emil Neagoe Romania 13 198 0.7× 171 0.9× 142 0.9× 30 0.4× 52 0.7× 71 532
Shailesh Kumar United States 9 170 0.6× 129 0.6× 219 1.3× 36 0.5× 50 0.6× 20 508
Ning Ma China 12 93 0.3× 131 0.7× 149 0.9× 65 0.8× 56 0.7× 67 479
Fahed Abdallah France 17 284 0.9× 433 2.2× 50 0.3× 88 1.1× 64 0.8× 53 861
Antonio‐Javier Gallego Spain 15 341 1.1× 187 0.9× 117 0.7× 22 0.3× 70 0.9× 41 802

Countries citing papers authored by Stéphane Derrode

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Derrode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Derrode

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Derrode. A scholar is included among the top collaborators of Stéphane Derrode 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 Stéphane Derrode. Stéphane Derrode 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.
Derrode, Stéphane, et al.. (2024). Accelerating Indoor Construction Progress Monitoring with Synthetic Data-Powered Deep Learning. Proceedings of the ... ISARC.
2.
Derrode, Stéphane, et al.. (2021). Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data. IEEE Access. 9. 44631–44646. 4 indexed citations
3.
Li, Haoyu, Stéphane Derrode, & Wojciech Pieczynski. (2019). Lower Limb Locomotion Activity Recognition of Healthy Individuals Using Semi-Markov Model and Single Wearable Inertial Sensor. Sensors. 19(19). 4242–4242. 8 indexed citations
4.
Li, Haoyu, Stéphane Derrode, & Wojciech Pieczynski. (2019). An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model. Neurocomputing. 362. 94–105. 22 indexed citations
5.
Derrode, Stéphane, et al.. (2019). Filtering in Gaussian Linear Systems With Fuzzy Switches. IEEE Transactions on Fuzzy Systems. 28(8). 1760–1770. 4 indexed citations
6.
Jabeur, Nafaâ, et al.. (2017). Real-Time Traffic Data Smoothing from GPS Sparse Measures Using Fuzzy Switching Linear Models. Procedia Computer Science. 110. 143–150. 5 indexed citations
7.
Derrode, Stéphane, et al.. (2014). Quality-driven and real-time iris recognition from close-up eye videos. Signal Image and Video Processing. 10(1). 153–160. 5 indexed citations
8.
Derrode, Stéphane & Wojciech Pieczynski. (2013). Unsupervised data classification using pairwise Markov chains with automatic copulas selection. Computational Statistics & Data Analysis. 63. 81–98. 19 indexed citations
9.
Derrode, Stéphane, et al.. (2012). Robust Blind Pairwise Kalman Algorithms Using QR Decompositions. IEEE Transactions on Signal Processing. 61(1). 5–9. 19 indexed citations
10.
Derrode, Stéphane & Wojciech Pieczynski. (2011). Unsupervised Restoration In Gaussian Pairwise Mixture Model. INFM-OAR (INFN Catania). 854–858. 1 indexed citations
11.
Derrode, Stéphane, et al.. (2010). Geometric shape prior to region-based active contours using Fourier-based shape alignment. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
12.
Derrode, Stéphane, et al.. (2008). Fourier-based geometric shape prior for snakes. Pattern Recognition Letters. 29(7). 897–904. 25 indexed citations
13.
Derrode, Stéphane, et al.. (2008). Pearson-based mixture model for color object tracking. Machine Vision and Applications. 19(5-6). 457–466. 9 indexed citations
14.
Carincotte, Cyril, Stéphane Derrode, & Salah Bourennane. (2006). Unsupervised change detection on SAR images using fuzzy hidden Markov chains. IEEE Transactions on Geoscience and Remote Sensing. 44(2). 432–441. 105 indexed citations
15.
Derrode, Stéphane, et al.. (2006). Euclidean Invariant Snake for Joint Stereoscopic Segmentation. 1. 1074–1079. 1 indexed citations
16.
Derrode, Stéphane & Grégoire Mercier. (2006). Unsupervised multiscale oil slick segmentation from SAR images using a vector HMC model. Pattern Recognition. 40(3). 1135–1147. 34 indexed citations
17.
Ghorbel, Faouzi, et al.. (2006). Image reconstruction from a complete set of similarity invariants extracted from complex moments. Pattern Recognition Letters. 27(12). 1361–1369. 41 indexed citations
18.
Derrode, Stéphane, Grégoire Mercier, & Wojciech Pieczynski. (2004). UNSUPERVISED CHANGE DETECTION IN SAR IMAGES USING A MULTICOMPONENT HMC MODEL. HAL (Le Centre pour la Communication Scientifique Directe). 195–203. 2 indexed citations
19.
Derrode, Stéphane & Wojciech Pieczynski. (2004). Signal and Image Segmentation Using Pairwise Markov Chains. IEEE Transactions on Signal Processing. 52(9). 2477–2489. 63 indexed citations
20.
Derrode, Stéphane & Faouzi Ghorbel. (2003). Shape analysis and symmetry detection in gray-level objects using the analytical Fourier–Mellin representation. Signal Processing. 84(1). 25–39. 41 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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