Luke Barrington

2.3k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

Luke Barrington is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Luke Barrington has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Signal Processing, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Luke Barrington's work include Music and Audio Processing (18 papers), Music Technology and Sound Studies (8 papers) and Video Analysis and Summarization (8 papers). Luke Barrington is often cited by papers focused on Music and Audio Processing (18 papers), Music Technology and Sound Studies (8 papers) and Video Analysis and Summarization (8 papers). Luke Barrington collaborates with scholars based in United States, New Zealand and Italy. Luke Barrington's co-authors include Gert Lanckriet, Douglas Turnbull, David Torres-Moreno, Brian McFee, Antoni B. Chan, Ruoran Liu, Marjorie Greene, Charles Huyck, Stuart Gill and Shubharoop Ghosh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Science Advances.

In The Last Decade

Luke Barrington

28 papers receiving 1.3k 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.

WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models

2024 82 citations Stephan Rasp, Stephan Hoyer et al. Journal of Advances in Modeling Earth Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Luke Barrington United States	20	746	729	380	172	125	28	1.4k
Christopher G. Healey United States	23	206 0.3×	1.1k 1.5×	304 0.8×	250 1.5×	151 1.2×	79	1.6k
Mark Harrower United States	15	285 0.4×	804 1.1×	214 0.6×	80 0.5×	48 0.4×	21	1.5k
Andy Ward United Kingdom	8	259 0.3×	739 1.0×	146 0.4×	59 0.3×	109 0.9×	11	2.3k
Xavier Giró-i-Nieto Spain	18	149 0.2×	1.1k 1.6×	582 1.5×	138 0.8×	53 0.4×	90	1.9k
Bettina Speckmann Netherlands	23	610 0.8×	777 1.1×	166 0.4×	18 0.1×	78 0.6×	139	1.7k
Guillaume Touya France	17	539 0.7×	200 0.3×	86 0.2×	51 0.3×	54 0.4×	82	1.3k
Christophe Hurter France	21	392 0.5×	966 1.3×	190 0.5×	105 0.6×	30 0.2×	77	1.5k
Hong Zhou China	19	238 0.3×	882 1.2×	296 0.8×	812 4.7×	73 0.6×	88	2.0k
Jonathon Hare United Kingdom	19	114 0.2×	940 1.3×	559 1.5×	38 0.2×	125 1.0×	109	2.3k

Countries citing papers authored by Luke Barrington

Since Specialization

Citations

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

Fields of papers citing papers by Luke Barrington

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Barrington

This figure shows the co-authorship network connecting the top 25 collaborators of Luke Barrington. A scholar is included among the top collaborators of Luke Barrington 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 Luke Barrington. Luke Barrington 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

Rasp, Stephan, Stephan Hoyer, Ian Langmore, et al.. (2024). WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models. Journal of Advances in Modeling Earth Systems. 16(6). 82 indexed citations breakdown →

LaRue, Michelle, Nadav Nur, David G. Ainley, et al.. (2021). Insights from the first global population estimate of Weddell seals in Antarctica. Science Advances. 7(39). eabh3674–eabh3674. 26 indexed citations

LaRue, Michelle, David G. Ainley, Kostas Stamatiou, et al.. (2019). Engaging ‘the crowd’ in remote sensing to learn about habitat affinity of the Weddell seal in Antarctica. Remote Sensing in Ecology and Conservation. 6(1). 70–78. 33 indexed citations

Lin, Albert Y., et al.. (2014). Crowdsourcing the Unknown: The Satellite Search for Genghis Khan. PLoS ONE. 9(12). e114046–e114046. 31 indexed citations

McFee, Brian, Luke Barrington, & Gert Lanckriet. (2012). Learning Content Similarity for Music Recommendation. IEEE Transactions on Audio Speech and Language Processing. 20(8). 2207–2218. 82 indexed citations

Barrington, Luke, et al.. (2012). Crowdsourcing earthquake damage assessment using remote sensing imagery. Annals of Geophysics. 54(6). 85 indexed citations

Barrington, Luke, et al.. (2009). Smarter Than Genius? Human Evaluation Of Music Recommender Systems.. Zenodo (CERN European Organization for Nuclear Research). 73 indexed citations

Barrington, Luke, Antoni B. Chan, & Gert Lanckriet. (2009). Dynamic texture models of music. 290. 1589–1592. 7 indexed citations

Barrington, Luke, et al.. (2009). User-centered design of a social game to tag music. 7–10. 51 indexed citations

10.

Barrington, Luke, Douglas Turnbull, & Gert Lanckriet. (2008). AUTO-TAGGING MUSIC CONTENT WITH SEMANTIC MULTINOMIALS. 3 indexed citations

11.

Barrington, Luke, Tim K. Marks, Janet H. Hsiao, & Garrison W. Cottrell. (2008). NIMBLE: A kernel density model of saccade-based visual memory. Journal of Vision. 8(14). 17–17. 20 indexed citations

12.

Turnbull, Douglas, Luke Barrington, & Gert Lanckriet. (2008). Five Approaches To Collecting Tags For Music.. Zenodo (CERN European Organization for Nuclear Research). 907. 225–230. 67 indexed citations

13.

Barrington, Luke, et al.. (2008). Combining Feature Kernels For Semantic Music Retrieval.. Zenodo (CERN European Organization for Nuclear Research). 23 indexed citations

14.

Turnbull, Douglas, Luke Barrington, David Torres-Moreno, & Gert Lanckriet. (2008). Semantic Annotation and Retrieval of Music and Sound Effects. IEEE Transactions on Audio Speech and Language Processing. 16(2). 467–476. 331 indexed citations

15.

Barrington, Luke, Tim K. Marks, & Garrison W. Cottrell. (2007). NIMBLE: A Kernel Density Model of Saccade-Based Visual Memory. eScholarship (California Digital Library). 29(29). 4 indexed citations

16.

Turnbull, Douglas, et al.. (2007). Exploring the Semantic Annotation and Retrieval of Sound. 3 indexed citations

17.

Barrington, Luke, Antoni B. Chan, Douglas Turnbull, & Gert Lanckriet. (2007). Audio Information Retrieval using Semantic Similarity. II–725. 56 indexed citations

18.

Turnbull, Douglas, Ruoran Liu, Luke Barrington, & Gert Lanckriet. (2007). A Game-Based Approach For Collecting Semantic Annotations Of Music.. Zenodo (CERN European Organization for Nuclear Research). 535–538. 72 indexed citations

19.

Barrington, Luke, et al.. (2006). Ambient Display using Musical Effects. 372–374. 17 indexed citations

20.

Turnbull, Douglas, Luke Barrington, & Gert Lanckriet. (2006). Modeling Music And Words Using A Multi-Class Naïve Bayes Approach.. Zenodo (CERN European Organization for Nuclear Research). 254–259. 15 indexed citations

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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