Philippe Esling

3.8k total citations · 1 hit paper
29 papers, 2.3k citations indexed

About

Philippe Esling is a scholar working on Ecology, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Philippe Esling has authored 29 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 13 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Philippe Esling's work include Environmental DNA in Biodiversity Studies (14 papers), Music and Audio Processing (12 papers) and Music Technology and Sound Studies (11 papers). Philippe Esling is often cited by papers focused on Environmental DNA in Biodiversity Studies (14 papers), Music and Audio Processing (12 papers) and Music Technology and Sound Studies (11 papers). Philippe Esling collaborates with scholars based in France, Switzerland and Japan. Philippe Esling's co-authors include Jan Pawłowski, Carlos Agón, Franck Lejzerowicz, Laure Apothéloz‐Perret‐Gentil, Thomas A. Wilding, Tomas Cedhagen, Loïc Pillet, Arielle Cordonier, Kenneth Black and Tristan Cordier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Environmental Science & Technology.

In The Last Decade

Philippe Esling

28 papers receiving 2.3k citations

Hit Papers

Time-series data mining 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Esling France 17 1.4k 935 537 371 186 29 2.3k
Sang-Don Lee South Korea 17 547 0.4× 142 0.2× 530 1.0× 355 1.0× 69 0.4× 115 3.4k
Meng Gao China 20 275 0.2× 103 0.1× 46 0.1× 106 0.3× 110 0.6× 109 1.5k
Tim W. Nattkemper Germany 29 754 0.5× 946 1.0× 30 0.1× 410 1.1× 359 1.9× 162 2.7k
R. Zurita‐Milla Netherlands 26 1.9k 1.3× 67 0.1× 78 0.1× 175 0.5× 35 0.2× 119 3.2k
Yifei Zhang China 20 103 0.1× 257 0.3× 54 0.1× 218 0.6× 175 0.9× 79 1.3k
Won Kim South Korea 18 735 0.5× 174 0.2× 141 0.3× 174 0.5× 421 2.3× 147 1.3k
Dong Chen China 21 304 0.2× 77 0.1× 23 0.0× 340 0.9× 37 0.2× 104 1.9k
J. N. R. Jeffers United Kingdom 20 761 0.5× 84 0.1× 33 0.1× 69 0.2× 101 0.5× 80 2.3k
K. Thompson United Kingdom 24 1.5k 1.0× 167 0.2× 17 0.0× 94 0.3× 87 0.5× 41 5.0k

Countries citing papers authored by Philippe Esling

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Esling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Esling

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

All Works

20 of 20 papers shown
1.
Esling, Philippe, et al.. (2023). Is Quality Enoughƒ Integrating Energy Consumption in a Large-Scale Evaluation of Neural Audio Synthesis Models. SPIRE - Sciences Po Institutional REpository. 1–5. 3 indexed citations
2.
Esling, Philippe, et al.. (2021). Dynamic Computer-Aided Orchestration in Practice with Orchidea. Computer Music Journal. 45(4). 40–56. 1 indexed citations
3.
Esling, Philippe, et al.. (2021). Combining Real-Time Extraction and Prediction of Musical Chord Progressions for Creative Applications. Electronics. 10(21). 2634–2634. 4 indexed citations
4.
Esling, Philippe, et al.. (2020). Attributes-aware deep music transformation. Zenodo (CERN European Organization for Nuclear Research). 670–677. 2 indexed citations
5.
Esling, Philippe, et al.. (2019). On the Use of U-Net for Dominant Melody Estimation in Polyphonic Music. SPIRE - Sciences Po Institutional REpository. 66–70. 1 indexed citations
6.
Esling, Philippe, et al.. (2019). Flow Synthesizer: Universal Audio Synthesizer Control with Normalizing Flows. Applied Sciences. 10(1). 302–302. 23 indexed citations
7.
Esling, Philippe, et al.. (2018). Bridging Audio Analysis, Perception and Synthesis with Perceptually-regularized Variational Timbre Spaces. Zenodo (CERN European Organization for Nuclear Research). 175–181. 7 indexed citations
8.
Cordier, Tristan, et al.. (2017). Predicting the Ecological Quality Status of Marine Environments from eDNA Metabarcoding Data Using Supervised Machine Learning. Environmental Science & Technology. 51(16). 9118–9126. 140 indexed citations
9.
Pawłowski, Jan, et al.. (2016). Protist metabarcoding and environmental biomonitoring: Time for change. European Journal of Protistology. 55(Pt A). 12–25. 124 indexed citations
10.
Pawłowska, Joanna, Marek Zajączkowski, Magdalena Łącka, et al.. (2016). Palaeoceanographic changes in Hornsund Fjord (Spitsbergen, Svalbard) overthe last millennium: new insights from ancient DNA. Climate of the past. 12(7). 1459–1472. 34 indexed citations
11.
Lejzerowicz, Franck, Philippe Esling, Loïc Pillet, et al.. (2015). High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems. Scientific Reports. 5(1). 13932–13932. 166 indexed citations
12.
Esling, Philippe, Franck Lejzerowicz, & Jan Pawłowski. (2015). Accurate multiplexing and filtering for high-throughput amplicon-sequencing. Nucleic Acids Research. 43(5). 2513–2524. 206 indexed citations
13.
Pochon, Xavier, Susanna A. Wood, Nigel Keeley, et al.. (2015). Accurate assessment of the impact of salmon farming on benthic sediment enrichment using foraminiferal metabarcoding. Marine Pollution Bulletin. 100(1). 370–382. 87 indexed citations
14.
Pawłowski, Jan, Philippe Esling, Franck Lejzerowicz, Tomas Cedhagen, & Thomas A. Wilding. (2014). Environmental monitoring through protist next‐generation sequencing metabarcoding: assessing the impact of fish farming on benthic foraminifera communities. Molecular Ecology Resources. 14(6). 1129–1140. 171 indexed citations
15.
Pawłowski, Jan, Franck Lejzerowicz, & Philippe Esling. (2014). Next-Generation Environmental Diversity Surveys of Foraminifera: Preparing the Future. Biological Bulletin. 227(2). 93–106. 76 indexed citations
16.
Lejzerowicz, Franck, Philippe Esling, & Jan Pawłowski. (2014). Patchiness of deep-sea benthic Foraminifera across the Southern Ocean: Insights from high-throughput DNA sequencing. Deep Sea Research Part II Topical Studies in Oceanography. 108. 17–26. 55 indexed citations
17.
Pawłowska, Joanna, Franck Lejzerowicz, Philippe Esling, et al.. (2014). Ancient DNA sheds new light on the Svalbard foraminiferal fossil record of the last millennium. Geobiology. 12(4). 277–288. 42 indexed citations
18.
Schnell, Norbert, et al.. (2013). Composing Morphology: Concatenative Synthesis as an Intuitive Medium for Prescribing Sound in Time. Contemporary Music Review. 32(1). 49–59. 3 indexed citations
19.
Lejzerowicz, Franck, Philippe Esling, Wojciech Majewski, et al.. (2013). Ancient DNA complements microfossil record in deep-sea subsurface sediments. Biology Letters. 9(4). 20130283–20130283. 87 indexed citations
20.
Esling, Philippe & Carlos Agón. (2012). Time-series data mining. ACM Computing Surveys. 45(1). 1–34. 618 indexed citations breakdown →

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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