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AES: Journal of the Audio Engineering Society
H-index 9

AES: Journal of the Audio Engineering Society

1549-4950

Published by: Audio Engineering Society Library

https://www.aes.org/journal/masthead.cfm

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 723 15 21 7

Additional Metrics

Number of Best Scientists*: 27
Documents by Best Scientists*: 44
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 69
SCIMAGO SJR: 0.455
Impact Factor: 1.6

Overview

Top Research Topics at Journal of The Audio Engineering Society?

The concepts of Acoustics, Speech recognition, Loudspeaker, Electronic engineering and Multimedia are tackled in the journal. The journal addresses concerns in Acoustics which are intertwined with other disciplines, such as Distortion and Microphone. While work presented in Journal of The Audio Engineering Society provided substantial information on Speech recognition, it also covered topics in Coding (social sciences), Perception and Active listening.

The Electronic engineering works featured in Journal of The Audio Engineering Society incorporate elements from Amplifier and Electrical engineering.

  • Acoustics (33.44%)
  • Speech recognition (17.04%)
  • Loudspeaker (12.70%)

What are the most cited papers published in the journal?

  • Virtual Sound Source Positioning Using Vector Base Amplitude Panning (728 citations)
  • A model for the prediction of thresholds, loudness, and partial loudness (646 citations)
  • ISO/IEC MPEG-2 Advanced Audio Coding (531 citations)

Research areas of the most cited articles at Journal of The Audio Engineering Society:

The main points discussed in the most cited articles deal with Speech recognition, Acoustics, Loudspeaker, Electronic engineering and Coding (social sciences). The works on Speech recognition tackled in the published articles bring together disciplines like Perception, Active listening and Audio signal. While Acoustics is the focus of the journal publications, it also provides insights into the studies of Frequency response and Signal.

What topics the last edition of the journal is best known for?

  • Artificial intelligence
  • Quantum mechanics
  • World War II

The previous edition focused in particular on these issues:

Journal of The Audio Engineering Society mainly tackles studies in Acoustics, Speech recognition, Loudspeaker, Multimedia and Ambisonics. The in-depth study on Acoustics also explores topics in the intersecting field of Microphone. The work on Ambisonics addressed in Journal of The Audio Engineering Society expands to the thematically related Order (business).

The journal facilitated discussions that integrated Reproduction (economics) and Binaural recording.

The most cited articles from the last journal are:

  • Enhanced Temporal Feature Integration in Audio Semantics via Alpha-Stable Modeling (6 citations)
  • A Deep Learning Approach to Intelligent Drum Mixing with the Wave-U-Net (3 citations)
  • Microphone Cross-talk Cancellation in Ensemble Recordings with Maximum Likelihood Estimation (1 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Journal of The Audio Engineering Society (based on the number of publications) are:

  • Francis Rumsey (220 papers) published 10 papers at the last edition, 2 more than at the previous edition,
  • Malcolm J. Hawksford (121 papers) absent at the last edition,
  • Mark Sandler (94 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Andrzej Czyzewski (88 papers) absent at the last edition,
  • John Vanderkooy (88 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of The Audio Engineering Society (based on the number of publications) are:

  • Technical University of Denmark (33 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • New York University (31 papers) absent at the last edition,
  • University of Surrey (27 papers) absent at the last edition,
  • Fraunhofer Society (23 papers) absent at the last edition,
  • Bang & Olufsen (22 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 98.98% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 50.00% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Perspectives: Opportunities in Audio Engineering Education

In the field of audio engineering, one promising career path is that of an academic, teaching the skills and knowledge required to become proficient in this field. Audio Engineering educators teach in various settings, such as high schools and universities, vocational-technical institutes, and private institutes. Their responsibilities include developing curriculum, instructing students in classroom settings, and assessing student performance. Depending on the state, certification or a license could be required to teach in public schools. If you're interested in this career path specifically in the state of Missouri, you may be interested in learning more about the exact qualifications required to become an English teacher. Keep in mind that while there may not be a great number of dedicated Audio Engineering teaching positions, many opportunities exist within broader fields, such as Music, Technology, or Science Education. These positions often require the same fundamental understanding of audio engineering principles, while allowing the educator to apply their knowledge in a wider context. For guidance on what the usual route to this career might look like, you can check out our dedicated article on how to be an english teacher in missouri. This profession could be a rewarding way to share your passion for audio engineering, inspire future generations, and help shape the field’s future.

Top Publications

  • Audio Augmented Reality: A Systematic Review of Technologies, Applications, and Future Research Directions

    (2022)
    34 Citations
  • Acoustic Transparency in Hearables - Technical Evaluation

    Florian Denk;Henning Schepker;Simon Doclo;Birger Kollmeier

    (2020)
    16 Citations
  • Multiphysics Modeling of Audio Circuits With Nonlinear Transformers

    Riccardo Giampiccolo;Alberto Bernardini;Giambattista Gruosso;Paolo Maffezzoni

    (2021)
    15 Citations
  • Acoustic Transparency in Hearables—Perceptual Sound Quality Evaluations

    Henning Schepker;Florian Denk;Birger Kollmeier;Simon Doclo

    (2020)
    14 Citations
  • Enhanced Temporal Feature Integration in Audio Semantics via Alpha-Stable Modeling

    Lazaros Vrysis;Leontios Hadjileontiadis;Iordanis Thoidis;Charalampos Dimoulas

    (2021)
    11 Citations
  • Towards encoding perceptually salient early reflections for parametric spatial audio rendering

    Fabian Brinkmann;Hannes Gamper;Nikunj Raghuvanshi;Ivan Tashev

    (2020)
    9 Citations
  • Parallel Wave Digital Filter Implementations of Audio Circuits with Multiple Nonlinearities

    (2022)
    9 Citations
  • An Innovative Method for Binaural Room Impulse Responses Interpolation

    Valeria Bruschi;Stefano Nobili;Stefania Cecchi;Francesco Piazza

    (2020)
    7 Citations
  • Real-Time Binaural Room Modelling for Augmented Reality Applications

    Christopher Yeoward;Rishi Shukla;Rebecca Stewart;Mark Sandler

    (2021)
    5 Citations
  • Antiderivative Antialiasing Techniques in Nonlinear Wave Digital Structures

    Davide Albertini;Alberto Bernardini;Augusto Sarti

    (2021)
    5 Citations

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Best Scientists Contributing to This Journal