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.
Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
19911.7k citationsChristian Jutten et al.Signal Processingprofile →
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
Countries citing papers authored by Christian Jutten
Since
Specialization
Citations
This map shows the geographic impact of Christian Jutten'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 Christian Jutten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Jutten more than expected).
Fields of papers citing papers by Christian Jutten
This network shows the impact of papers produced by Christian Jutten. 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 Christian Jutten. The network helps show where Christian Jutten may publish in the future.
Co-authorship network of co-authors of Christian Jutten
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Jutten.
A scholar is included among the top collaborators of Christian Jutten 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 Christian Jutten. Christian Jutten 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.
Roonizi, Arman Kheirati & Christian Jutten. (2021). Band-Stop Smoothing Filter Design. IEEE Transactions on Signal Processing. 69. 1797–1810.12 indexed citations
Sadeghi, Mostafa, et al.. (2014). K-LDA: An algorithm for learning jointly overcomplete and discriminative dictionaries. 775–779.5 indexed citations
10.
Gouy‐Pailler, Cédric, Marco Congedo, Clemens Brunner, Christian Jutten, & Gert Pfurtscheller. (2010). Non-stationary brain source separation for multi-class motor imagery. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 57. 469–478.2 indexed citations
Babaie‐Zadeh, Massoud & Christian Jutten. (2006). Semi-Blind Approaches for Source Separation and Independent component Analysis. The European Symposium on Artificial Neural Networks. 301–312.9 indexed citations
13.
Vrins, Frédéric, Vincent Vigneron, Christian Jutten, & Michel Verleysen. (2004). Abdominal electrodes analysis by statistical processing for fetal eletrocardiogram extraction. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).14 indexed citations
14.
Solé‐Casals, Jordi & Christian Jutten. (2004). Post-nonlinear mixtures and beyond. Repositori Institucional De La Uvic (Universitat De Vic Universitat Central De Catalunya). 16. 67–74.
Solé‐Casals, Jordi, et al.. (2000). Parametric approach to blind deconvolution of nonlinear channels.. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 21–26.4 indexed citations
17.
Hosseini, Shahram & Christian Jutten. (1998). Simultaneous Estimation of Signal and Noise in the Constructive Neural Networks.. Natural Computing. 412–418.1 indexed citations
18.
Jutten, Christian, et al.. (1997). Entropy Optimization - Application to Blind Source Separation. 529–534.25 indexed citations
19.
Jutten, Christian, et al.. (1996). Combining sigmoids and radial basis functions in evolutive neural architectures.. The European Symposium on Artificial Neural Networks.4 indexed citations
20.
Jutten, Christian, et al.. (1994). A comparison of two weight pruning methods.. The European Symposium on Artificial Neural Networks.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.