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.
New insights into the noise reduction Wiener filter
This map shows the geographic impact of Simon Doclo'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 Simon Doclo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Doclo more than expected).
This network shows the impact of papers produced by Simon Doclo. 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 Simon Doclo. The network helps show where Simon Doclo may publish in the future.
Co-authorship network of co-authors of Simon Doclo
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Doclo.
A scholar is included among the top collaborators of Simon Doclo 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 Simon Doclo. Simon Doclo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hadad, Elior, Simon Doclo, Sven Nordholm, & Sharon Gannot. (2022). A Class of Pareto Optimal Binaural Beamformers. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2612–2628.2 indexed citations
Marquardt, Daniel & Simon Doclo. (2016). Performance Comparison of Bilateral and Binaural MVDR-based Noise Reduction Algorithms in the Presence of DOA Estimation Errors.. 1–5.5 indexed citations
12.
Schepker, Henning, et al.. (2016). A Robust Null-Steering Beamformer for Acoustic Feedback Cancellation for a Multi-Microphone Earpiece. eSpace (Curtin University). 165–169.2 indexed citations
13.
Jukić, Ante, Toon van Waterschoot, Timo Gerkmann, & Simon Doclo. (2016). A framework for multi-channel speech dereverberation by exploiting sparsity. Lirias (KU Leuven).1 indexed citations
Doclo, Simon, et al.. (2014). Maximum likelihood based multi-channel isotropic reverberation reduction for hearing aids. VBN Forskningsportal (Aalborg Universitet). 61–65.30 indexed citations
17.
Doclo, Simon, et al.. (2014). Efficient Multi-Channel Acoustic Echo Cancellation Using Constrained Sparse Filter Updates in the Subband Domain. 1–4.2 indexed citations
18.
Freudenberger, Jürgen, et al.. (2014). Generalized Multichannel Wiener Filter for Spatially Distributed Microphones. 1–4.2 indexed citations
19.
Kodrasi, Ina & Simon Doclo. (2012). The effect of inverse filter length on the robustness of acoustic multichannel equalization. European Signal Processing Conference. 2442–2446.7 indexed citations
20.
Bogaert, Tim Van den, Simon Doclo, Jan Wouters, & Marc Moonen. (2009). Preserving binaural hearing of hearing impaired subjects with binaural noise reduction systems for hearing aids. Lirias (KU Leuven).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.