Daniel Jarrett

55 total papers · 1.6k total citations
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 Ahmed M. Alaa 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 969 citations

Hit Papers

Time-series Generative Ad... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Jarrett 435 271 156 152 147 27 1.0k
Pushpendra Singh 270 0.6× 179 0.7× 26 0.2× 515 3.4× 169 1.1× 49 1.2k
Ee-Leng Tan 222 0.5× 254 0.9× 93 0.6× 180 1.2× 132 0.9× 42 852
Ali Jalali 81 0.2× 363 1.3× 216 1.4× 51 0.3× 49 0.3× 55 941
Harishchandra Dubey 252 0.6× 280 1.0× 71 0.5× 44 0.3× 21 0.1× 43 848
Michael R. Anderson 202 0.5× 259 1.0× 39 0.3× 220 1.4× 60 0.4× 46 1.2k
Jianji Wang 176 0.4× 280 1.0× 188 1.2× 14 0.1× 121 0.8× 46 815
Eitan Bachmat 127 0.3× 90 0.3× 73 0.5× 60 0.4× 59 0.4× 53 846
Gilson A. Giraldi 102 0.2× 203 0.7× 73 0.5× 64 0.4× 95 0.6× 103 1.1k
Qianwei Zhou 76 0.2× 382 1.4× 24 0.2× 39 0.3× 260 1.8× 62 1.0k
Dorina Thanou 68 0.2× 769 2.8× 138 0.9× 130 0.9× 37 0.3× 33 1.2k

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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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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