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 pyramid approach to subpixel registration based on intensity
19982.2k citationsMichaël Unser et al.IEEE Transactions on Image Processingprofile →
Deep Convolutional Neural Network for Inverse Problems in Imaging
20171.6k citationsKyong Hwan Jin, Michael T. McCann et al.IEEE Transactions on Image Processingprofile →
Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy images
20041.2k citationsErik Meijering, Michaël Unser et al.profile →
Splines: a perfect fit for signal and image processing
19991.1k citationsMichaël UnserIEEE Signal Processing Magazineprofile →
Texture classification and segmentation using wavelet frames
1995967 citationsMichaël UnserIEEE Transactions on Image Processingprofile →
This map shows the geographic impact of Michaël Unser'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 Michaël Unser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Unser more than expected).
This network shows the impact of papers produced by Michaël Unser. 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 Michaël Unser. The network helps show where Michaël Unser may publish in the future.
Co-authorship network of co-authors of Michaël Unser
This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Unser.
A scholar is included among the top collaborators of Michaël Unser 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 Michaël Unser. Michaël Unser is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Unser, Michaël, et al.. (2018). An L1 Representer Theorem for Multiple-Kernel Regression.. arXiv (Cornell University).1 indexed citations
8.
Celis, L. Elisa, et al.. (2017). Dictionary Learning Based on Sparse Distribution Tomography. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2731–2740.3 indexed citations
9.
Jin, Kyong Hwan, et al.. (2017). Deep Convolutional Neural Network for Inverse Problems in Imaging. IEEE Transactions on Image Processing. 26(9). 4509–4522.1561 indexed citations breakdown →
Unser, Michaël, Daniel Sage, & Ricard Delgado-Gonzalo. (2013). Advanced image processing for biology, and the Open Bio Image Alliance (OBIA). Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5.3 indexed citations
13.
Sage, Daniel, Hagai Kirshner, Cédric Vonesch, Stamatios Lefkimmiatis, & Michaël Unser. (2013). Benchmarking image-processing algorithms for biomicroscopy: Reference datasets and perspectives. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–4.4 indexed citations
14.
Lefkimmiatis, Stamatios, John Paul Ward, & Michaël Unser. (2012). A Hessian Schatten-Norm Regularization Approach For Solving Linear Inverse Problems. arXiv (Cornell University).2 indexed citations
15.
Kirshner, Hagai, Moshe Porat, & Michaël Unser. (2010). A stochastic minimum-norm approach to image and texture interpolation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1004–1008.1 indexed citations
16.
Kirshner, Hagai, et al.. (2010). Continuous-time AR model identification: Does sampling rate really matter?. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1469–1473.1 indexed citations
Trus, Benes L., Michaël Unser, Thierry Pun, & Alasdair C. Steven. (1991). Digital Image Processing of Electron Micrographs: The PIC System II. Digital Commons - USU (Utah State University).9 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.