Jes Frellsen

1.1k total citations
28 papers, 517 citations indexed

About

Jes Frellsen is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jes Frellsen has authored 28 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jes Frellsen's work include Protein Structure and Dynamics (8 papers), Gaussian Processes and Bayesian Inference (5 papers) and RNA and protein synthesis mechanisms (4 papers). Jes Frellsen is often cited by papers focused on Protein Structure and Dynamics (8 papers), Gaussian Processes and Bayesian Inference (5 papers) and RNA and protein synthesis mechanisms (4 papers). Jes Frellsen collaborates with scholars based in Denmark, United Kingdom and United States. Jes Frellsen's co-authors include Wouter Boomsma, Thomas Hamelryck, Kanti V. Mardia, Jesper Ferkinghoff‐Borg, Ida Moltke, Anders Krogh, Simon Olsson, Sandro Bottaro, Kristoffer E. Johansson and Mikael Borg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Computational Chemistry.

In The Last Decade

Jes Frellsen

25 papers receiving 504 citations

Peers

Countries citing papers authored by Jes Frellsen

Since Specialization

Citations

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

Fields of papers citing papers by Jes Frellsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jes Frellsen

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Why design choices matter in recommender systems 2025 ·Nature Machine Intelligence ·(unknown), (unknown), (unknown), Jes Frellsen	0
2	EB-NeRD a large-scale dataset for news recommendation 2024 ·arXiv (Cornell University) ·(unknown), (unknown), (unknown), Marco Polignano, (unknown), Abhishek Srivastava, (unknown), Michael Riis Andersen, Jes Frellsen	5
3	Creating the next generation of news experience on ekstrabladet.dk with recommender systems 2023 ·(unknown), (unknown), Michael Riis Andersen, Jes Frellsen	0
4	Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity 2022 ·IT University Of Copenhagen (IT University of Copenhagen) ·(unknown), Jes Frellsen, Christian Hardmeier	1
5	When Did the Train Arrive? A Bayesian Approach to Enrich Timetable Information Using Smart Card Data 2021 ·IEEE Open Journal of Intelligent Transportation Systems ·(unknown), Michael Riis Andersen, Jes Frellsen	2
6	MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets 2019 ·International Conference on Machine Learning ·(unknown), Jes Frellsen	47
7	missIWAE: Deep Generative Modelling and Imputation of Incomplete Data. 2018 ·arXiv (Cornell University) ·(unknown), Jes Frellsen	6
8	Applied Directional Statistics 2018 ·arXiv (Cornell University) ·Kanti V. Mardia, Jes Frellsen, (unknown)	30
9	Spherical convolutions and their application in molecular modelling 2017 ·IT University Of Copenhagen (IT University of Copenhagen) ·Wouter Boomsma, Jes Frellsen	30
10	The Multivariate Generalised von Mises distribution: Inference and applications 2017 ·Apollo (University of Cambridge) ·(unknown), Jes Frellsen, (unknown)	3
11	Bayesian Generalised Ensemble Markov Chain Monte Carlo 2016 ·Apollo (University of Cambridge) ·Jes Frellsen, Ole Winther, Zoubin Ghahramani, Jesper Ferkinghoff‐Borg	1
12	Adaptable probabilistic mapping of short reads using position specific scoring matrices 2014 ·BMC Bioinformatics ·Peter Kerpedjiev, Jes Frellsen, Stinus Lindgreen, Anders Krogh	33
13	Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts 2014 ·Proceedings of the National Academy of Sciences ·Wouter Boomsma, Pengfei Tian, Jes Frellsen, Jesper Ferkinghoff‐Borg, Thomas Hamelryck, Kresten Lindorff‐Larsen, Michele Vendruscolo	23
14	On the Accuracy of Short Read Mapping 2013 ·Methods in molecular biology ·Peter Menzel, Jes Frellsen, Mireya Plass, Simon Horskjær Rasmussen, Anders Krogh	6
15	Inference of Structure Ensembles of Flexible Biomolecules from Sparse, Averaged Data 2013 ·PLoS ONE ·Simon Olsson, Jes Frellsen, Wouter Boomsma, Kanti V. Mardia, Thomas Hamelryck	42
16	Generative probabilistic models extend the scope of inferential structure determination 2011 ·Journal of Magnetic Resonance ·Simon Olsson, Wouter Boomsma, Jes Frellsen, Sandro Bottaro, (unknown), Jesper Ferkinghoff‐Borg, Thomas Hamelryck	14
17	Potentials of Mean Force for Protein Structure Prediction Vindicated, Formalized and Generalized 2010 ·PLoS ONE ·Thomas Hamelryck, Mikael Borg, (unknown), Jonas Paulsen, Jes Frellsen, (unknown), Wouter Boomsma, Sandro Bottaro, Jesper Ferkinghoff‐Borg	52
18	Beyond rotamers: a generative, probabilistic model of side chains in proteins 2010 ·BMC Bioinformatics ·(unknown), Wouter Boomsma, (unknown), Jes Frellsen, Kristoffer E. Johansson, Thomas Hamelryck	39
19	A Probabilistic Model of RNA Conformational Space 2009 ·PLoS Computational Biology ·Jes Frellsen, Ida Moltke, (unknown), Kanti V. Mardia, Jesper Ferkinghoff‐Borg, Thomas Hamelryck	73
20	Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites 2008 ·PLoS ONE ·Troels Marstrand, Jes Frellsen, Ida Moltke, (unknown), Eivind Valen, (unknown), Anders Krogh	32

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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