Ole Winther

26.5k total citations · 12 hit papers
205 papers, 13.4k citations indexed

About

Ole Winther is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Ole Winther has authored 205 papers receiving a total of 13.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 62 papers in Molecular Biology and 22 papers in Signal Processing. Recurrent topics in Ole Winther's work include Gaussian Processes and Bayesian Inference (25 papers), Neural Networks and Applications (24 papers) and Machine Learning in Bioinformatics (18 papers). Ole Winther is often cited by papers focused on Gaussian Processes and Bayesian Inference (25 papers), Neural Networks and Applications (24 papers) and Machine Learning in Bioinformatics (18 papers). Ole Winther collaborates with scholars based in Denmark, United States and United Kingdom. Ole Winther's co-authors include Henrik Nielsen, José Juan Almagro Armenteros, Casper Kaae Sønderby, Gunnar von Heijne, Søren Brunak, Konstantinos D. Tsirigos, Thomas Nordahl Petersen, Søren Kaae Sønderby, Alexander Rosenberg Johansen and Manfred Opper and has published in prestigious journals such as The Lancet, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Ole Winther

197 papers receiving 13.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

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.

SignalP 5.0 improves signal peptide predictions using deep neural networks

2019 3.0k citations José Juan Almagro Armenteros, Casper Kaae Sønderby et al. Nature Biotechnology profile →
SignalP 6.0 predicts all five types of signal peptides using protein language models

2022 1.4k citations Felix Teufel, José Juan Almagro Armenteros et al. profile →
DeepLoc: prediction of protein subcellular localization using deep learning

2017 773 citations José Juan Almagro Armenteros, Casper Kaae Sønderby et al. Bioinformatics profile →
Autoencoding beyond pixels using a learned similarity metric

2016 647 citations Ole Winther et al. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) profile →
Detecting sequence signals in targeting peptides using deep learning

2019 623 citations José Juan Almagro Armenteros, Ole Winther et al. profile →
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update

2007 559 citations Ole Winther et al. Nucleic Acids Research profile →
NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning

2019 388 citations Henrik Nielsen, Casper Kaae Sønderby et al. profile →
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models

2022 349 citations José Juan Almagro Armenteros, Alexander Rosenberg Johansen et al. Nucleic Acids Research profile →
Improved metagenome binning and assembly using deep variational autoencoders

2021 304 citations Jakob Nybo Nissen, Joachim Johansen et al. Nature Biotechnology profile →
NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning

2022 164 citations Magnus Haraldson Høie, Bent Petersen et al. Nucleic Acids Research profile →
Can large language models reason about medical questions?

2024 96 citations Ole Winther et al. profile →
DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations

2024 50 citations Magnus Haraldson Høie, Ole Winther et al. profile →

Peers

Countries citing papers authored by Ole Winther

Since Specialization

Citations

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

Fields of papers citing papers by Ole Winther

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ole Winther

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	DeepLoc 2.1: multi-label membrane protein type prediction using protein language models 2024 ·Nucleic Acids Research ·(unknown), Felix Teufel, (unknown), José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Ole Winther, Henrik Nielsen	42
2	Predicting the subcellular location of prokaryotic proteins with DeepLocPro 2024 ·Bioinformatics ·(unknown), Henrik Nielsen, Ole Winther, Felix Teufel	13
3	DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning 2024 ·Bioinformatics ·(unknown), (unknown), Lixin Cheng, Ole Winther	8
4	GraphPart: homology partitioning for biological sequence analysis 2023 ·NAR Genomics and Bioinformatics ·Felix Teufel, Magnús Halldór Gíslason, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Ole Winther, Henrik Nielsen	16
5	RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies 2023 ·Briefings in Bioinformatics ·(unknown), (unknown), Lixin Cheng, Ole Winther	17
6	Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics 2023 ·Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) ·(unknown), Ole Winther, Simon Olsson	1
7	NeuralNEB—neural networks can find reaction paths fast 2022 ·Machine Learning Science and Technology ·(unknown), Arghya Bhowmik, Tejs Vegge, Peter Bjørn Jørgensen, Ole Winther	26
8	NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning breakdown → 2022 ·Nucleic Acids Research ·Magnus Haraldson Høie, (unknown), Bent Petersen, Morten Nielsen, Ole Winther, Henrik Nielsen, (unknown), Paolo Marcatili	164
9	Transition1x - a dataset for building generalizable reactive machine learning potentials 2022 ·Scientific Data ·(unknown), Arghya Bhowmik, Tejs Vegge, Jonas Busk, Ole Winther	68
10	On the Transfer of Disentangled Representations in Realistic Settings 2021 ·MPG.PuRe (Max Planck Society) ·(unknown), (unknown), Francesco Locatello, Manuel Wüthrich, (unknown), Ole Winther, Stefan Bauer, Bernhard Schölkopf	8
11	Improved metagenome binning and assembly using deep variational autoencoders breakdown → 2021 ·Nature Biotechnology ·Jakob Nybo Nissen, Joachim Johansen, Rosa Lundbye Allesøe, Casper Kaae Sønderby, José Juan Almagro Armenteros, (unknown), Lars Juhl Jensen, Henrik Bjørn Nielsen, Thomas Nordahl Petersen, Ole Winther, Simon Rasmussen	304
12	scVAE: variational auto-encoders for single-cell gene expression data 2020 ·Bioinformatics ·(unknown), (unknown), Pascal Timshel, Casper Kaae Sønderby, Tune H. Pers, Ole Winther	138
13	Reducing the rate of psychiatric re‐admissions in bipolar disorder using smartphones—The RADMIS trial 2020 ·Acta Psychiatrica Scandinavica ·Maria Faurholt‐Jepsen, (unknown), (unknown), Klaus Martiny, (unknown), Nicole Rosenberg, Jonas Busk, Ole Winther, Daniel Thaysen‐Petersen, (unknown), (unknown), Jakob E. Bardram, Lars Vedel Kessing	24
14	A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning 2017 ·Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) ·M. Fraccaro, (unknown), Ulrich Paquet, Ole Winther	50
15	Perturbation Corrections in Approximate Inference: Mixture Modelling Applications 2009 ·Journal of Machine Learning Research ·Ulrich Paquet, Ole Winther, Manfred Opper	5
16	Improving on Expectation Propagation 2008 ·Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) ·Manfred Opper, Ulrich Paquet, Ole Winther	7
17	Analysis of Mean Field Annealing in Substactive Interference Cancellation 2002 ·IEEE Transactions on Communications ·(unknown), Ole Winther	2
18	Incremental Gaussian Processes 2002 ·MPG.PuRe (Max Planck Society) ·Joaquin Quiñonero-Candela, Ole Winther	11
19	Mean Field Implementation Of Bayesian ICA 2001 ·Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) ·(unknown), Lars Kai Hansen, Ole Winther, (unknown)	9
20	Computing with Finite and Infinite Networks 2000 ·Neural Information Processing Systems ·Ole Winther	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.

Explore authors with similar magnitude of impact