Daniel Jarrett

1.6k total citations · 1 hit paper
27 papers, 1.0k citations indexed

About

Daniel Jarrett is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Daniel Jarrett has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 11 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Daniel Jarrett's work include Speech and Audio Processing (11 papers), Advanced Adaptive Filtering Techniques (7 papers) and Hearing Loss and Rehabilitation (5 papers). Daniel Jarrett is often cited by papers focused on Speech and Audio Processing (11 papers), Advanced Adaptive Filtering Techniques (7 papers) and Hearing Loss and Rehabilitation (5 papers). Daniel Jarrett collaborates with scholars based in United Kingdom, Germany and United States. Daniel Jarrett's co-authors include Mihaela van der Schaar, Jinsung Yoon, Emanuël A. P. Habets, Patrick A. Naylor, Mark R. Thomas, Eleanor Stride, Mark J. Gooding, Katherine A. Vallis, Ari Ercole and Píetro Lió and has published in prestigious journals such as The Journal of the Acoustical Society of America, Machine Learning and IEEE Signal Processing Letters.

In The Last Decade

Daniel Jarrett

26 papers receiving 983 citations

Hit 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.

Time-series Generative Adversarial Networks

2019 352 citations Jinsung Yoon, Daniel Jarrett et al. Neural Information Processing Systems profile →

Peers

Countries citing papers authored by Daniel Jarrett

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Jarrett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Jarrett

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Jarrett. A scholar is included among the top collaborators of Daniel Jarrett 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 Daniel Jarrett. Daniel Jarrett 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	Time-series Generation by Contrastive Imitation 2023 ·arXiv (Cornell University) ·Daniel Jarrett, Ioana Bica, Mihaela van der Schaar	5
2	Inverse Decision Modeling: Learning Interpretable Representations of Behavior 2023 ·arXiv (Cornell University) ·Daniel Jarrett, (unknown), Mihaela van der Schaar	1
3	Invariant Causal Imitation Learning for Generalizable Policies 2023 ·arXiv (Cornell University) ·Ioana Bica, Daniel Jarrett, Mihaela van der Schaar	8
4	Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning 2023 ·arXiv (Cornell University) ·(unknown), Daniel Jarrett, Mihaela van der Schaar	2
5	Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation 2021 ·Neural Information Processing Systems ·Yuchao Qin, Fergus Imrie, (unknown), Daniel Jarrett, Alexander Gimson, Mihaela van der Schaar	1
6	Clairvoyance: A Pipeline Toolkit for Medical Time Series 2021 ·arXiv (Cornell University) ·Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar	7
7	Strictly Batch Imitation Learning by Energy-based Distribution Matching 2020 ·Neural Information Processing Systems ·Daniel Jarrett, Ioana Bica, Mihaela van der Schaar	0
8	Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning 2020 ·International Conference on Artificial Intelligence and Statistics ·Yao Zhang, Daniel Jarrett, Mihaela van der Schaar	3
9	Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making. 2020 ·arXiv (Cornell University) ·Ioana Bica, Daniel Jarrett, (unknown), Mihaela van der Schaar	1
10	How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 2020 ·Machine Learning ·Mihaela van der Schaar, Ahmed M. Alaa, R. Andrés Floto, Alexander Gimson, Stefan Scholtes, Angela Wood, Eoin McKinney, Daniel Jarrett, Píetro Lió, Ari Ercole	132
11	Inverse Active Sensing: Modeling and Understanding Timely Decision-Making 2020 ·arXiv (Cornell University) ·Daniel Jarrett, Mihaela van der Schaar	2
12	Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification 2020 ·Pure Amsterdam UMC ·James Jordon, Daniel Jarrett, (unknown), Jinsung Yoon, Paul Elbers, Patrick Thoral, Ari Ercole, (unknown), Danielle Belgrave, Mihaela van der Schaar	7
13	Time-series Generative Adversarial Networks breakdown → 2019 ·Neural Information Processing Systems ·Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar	352
14	Noise Reduction in the Spherical Harmonic Domain Using a Tradeoff Beamformer and Narrowband DOA Estimates 2014 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·Daniel Jarrett, Maja Taseska, Emanuël A. P. Habets, Patrick A. Naylor	8
15	Coherence-based diffuseness estimation in the spherical harmonic domain 2012 ·Daniel Jarrett, Oliver Thiergart, Emanuël A. P. Habets, Patrick A. Naylor	18
16	On the Noise Reduction Performance of a Spherical Harmonic Domain Tradeoff Beamformer 2012 ·IEEE Signal Processing Letters ·Daniel Jarrett, Emanuël A. P. Habets	16
17	Dereverberation performance of rigid and open spherical microphone arrays: Theory & simulation 2011 ·Daniel Jarrett, Emanuël A. P. Habets, Mark R. Thomas, Nikolay D. Gaubitch, Patrick A. Naylor	8
18	Simulating room impulse responses for spherical microphone arrays 2011 ·Daniel Jarrett, Emanuël A. P. Habets, Mark R. Thomas, Patrick A. Naylor	21
19	3D source localization in the spherical harmonic domain using a pseudointensity vector 2010 ·European Signal Processing Conference ·Daniel Jarrett, Emanuël A. P. Habets, Patrick A. Naylor	66
20	Eigenbeam-based acoustic source tracking in noisy reverberant environments 2010 ·Daniel Jarrett, Emanuël A. P. Habets, Patrick A. Naylor	8

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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