Ricard Durall

793 total citations
15 papers, 316 citations indexed

About

Ricard Durall is a scholar working on Geophysics, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Ricard Durall has authored 15 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Geophysics, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Ocean Engineering. Recurrent topics in Ricard Durall's work include Seismic Imaging and Inversion Techniques (8 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Drilling and Well Engineering (4 papers). Ricard Durall is often cited by papers focused on Seismic Imaging and Inversion Techniques (8 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Drilling and Well Engineering (4 papers). Ricard Durall collaborates with scholars based in Germany, France and Burundi. Ricard Durall's co-authors include Janis Keuper, Margret Keuper, N. Ettrich, Peter Labus, Franz‐Josef Pfreundt, Matthias Delescluse and Maribel Fernández and has published in prestigious journals such as Geophysics, Computers & Geosciences and The Leading Edge.

In The Last Decade

Ricard Durall

13 papers receiving 311 citations

Peers

Countries citing papers authored by Ricard Durall

Since Specialization

Citations

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

Fields of papers citing papers by Ricard Durall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricard Durall

This figure shows the co-authorship network connecting the top 25 collaborators of Ricard Durall. A scholar is included among the top collaborators of Ricard Durall 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 Ricard Durall. Ricard Durall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Adversarial Examples are Misaligned in Diffusion Model Manifolds 2024 ·Opus-HSO (Offenburg University of Applied Sciences) ·(unknown), Ricard Durall, Janis Keuper	0
2	An in-depth study of U-net for seismic data conditioning: Multiple removal by moveout discrimination 2023 ·Geophysics ·Ricard Durall, (unknown), N. Ettrich, Janis Keuper	1
3	U-net based primary alignment 2023 ·Fraunhofer-Publica (Fraunhofer-Gesellschaft) ·Ricard Durall, (unknown), N. Ettrich	0
4	Deep diffusion models for seismic processing 2023 ·Computers & Geosciences ·Ricard Durall, (unknown), (unknown), N. Ettrich, Janis Keuper	34
5	Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality 2023 ·Opus-HSO (Offenburg University of Applied Sciences) ·(unknown), Ricard Durall, Janis Keuper	21
6	A comparison of deep learning paradigms for seismic data interpolation 2022 ·Fraunhofer-Publica (Fraunhofer-Gesellschaft) ·(unknown), Ricard Durall, N. Ettrich, Matthias Delescluse, (unknown), Janis Keuper	1
7	Asset Allocation: From Markowitz to Deep Reinforcement Learning 2022 ·SSRN Electronic Journal ·Ricard Durall	2
8	Image-to-image Seismic Interpolation 2022 ·Opus-HSO (Offenburg University of Applied Sciences) ·(unknown), Ricard Durall, N. Ettrich, Matthias Delescluse, (unknown), Janis Keuper	1
9	A Benchmark Study of Deep Learning Methods for Seismic Interpolation 2022 ·83rd EAGE Annual Conference & Exhibition ·Maribel Fernández, Ricard Durall, N. Ettrich, Matthias Delescluse, (unknown), Janis Keuper	1
10	Latent Space Conditioning on Generative Adversarial Networks 2021 ·Opus-HSO (Offenburg University of Applied Sciences) ·Ricard Durall, (unknown), Franz‐Josef Pfreundt, Janis Keuper	1
11	Generative models for the transfer of knowledge in seismic interpretation with deep learning 2021 ·The Leading Edge ·Ricard Durall, (unknown), N. Ettrich, Janis Keuper	10
12	Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues 2021 ·Opus-HSO (Offenburg University of Applied Sciences) ·Ricard Durall, (unknown), Peter Labus, Janis Keuper	32
13	Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions 2020 ·Opus-HSO (Offenburg University of Applied Sciences) ·Ricard Durall, Margret Keuper, Janis Keuper	205
14	Synthesizing seismic diffractions using a generative adversarial network 2020 ·Opus-HSO (Offenburg University of Applied Sciences) ·Ricard Durall, (unknown), Franz‐Josef Pfreundt, Janis Keuper	5
15	Stabilizing GANs with Octave Convolutions. 2019 ·arXiv (Cornell University) ·Ricard Durall, Franz‐Josef Pfreundt, Janis Keuper	2

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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