Julien Epps

240 papers receiving 9.2k citations

Julien Epps's Hit Papers

Mamba in Speech: Towards an Alternative to Self-Attention 2025 · 34 citations
340+5+11Years since publication4008001.2k

Peers

Julien Epps
Comparison fields: 5 of 166
  • Experimental and Cognitive Psychology 4.1k
  • Human-Computer Interaction 573
  • Artificial Intelligence 2.1k
  • Signal Processing 475
  • Social Psychology 726
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Julia Hirschberg United States
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Citations per year

Countries citing papers authored by Julien Epps

Since Specialization
Citations

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

Fields of papers citing papers by Julien Epps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julien Epps, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julien Epps Line = papers co-authored together Julien Epps links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 251 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance
Hit paper breakdown →
20101378
2
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
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20151326
3
A review of depression and suicide risk assessment using speech analysis
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2015708
4
Information theoretic measures for clusterings comparison
Hit paper breakdown →
2009670
5 2016156
6 2011152
7 2014151
8 2013146
9 2008136
10 2011128
11 2013117
12 2018109
13 2013105
14 2012102
15 2015100
16 201597
17 201496
18 201295
19 201994
20 201393

About Julien Epps

Julien Epps is a scholar working on Experimental and Cognitive Psychology, Human-Computer Interaction, Signal Processing, Artificial Intelligence and Social Psychology, having authored 251 papers that have together received 9.6k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (101 papers), Speech Recognition and Synthesis (45 papers), Gaze Tracking and Assistive Technology (23 papers), Speech and Audio Processing (23 papers), Fractal and DNA sequence analysis (19 papers), EEG and Brain-Computer Interfaces (11 papers), Human-Automation Interaction and Safety (11 papers) and Music and Audio Processing (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (4.1k citations), Human-Computer Interaction (573 citations), Artificial Intelligence (2.1k citations), Signal Processing (475 citations) and Social Psychology (726 citations). Julien Epps has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include James Bailey, Eliathamby Ambikairajah A, Nicholas Cummins, Nguyễn Xuân Vinh, Roland Goecke, Vidhyasaharan Sethu, Jarek Krajewski, Fang Chen, Björn Wolfgang Schuller and Sebastian Schnieder. Their work appears in journals such as Speech Communication, IEEE Transactions on Affective Computing, Electronics Letters, IEEE Signal Processing Magazine and Computer Methods and Programs in Biomedicine.

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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