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International Society for Music Information Retrieval

The 23rd International Society for Music Information Retrieval Conference (ISMIR)

Location: Bengaluru , India

Submission deadline: 5/20/2022

Conference dates: 12/4/2022 - 12/8/2022

Research H-index
6

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 631 11 17 6

Call for Papers

Relevant topics for ISMIR 2022 include, but are not limited to:

MIR fundamentals and methodology: music signal processing; symbolic music processing; metadata, tags, linked data, and semantic web; lyrics and other textual data; web mining, and natural language processing; multimodality.

Domain knowledge: representations of music; music acoustics; computational music theory and musicology; cognitive MIR; machine learning/artificial intelligence for music; computational ethnomusicology.

Musical features and properties: melody and motives; harmony, chords and tonality; rhythm, beat, tempo; structure, segmentation, and form; representations of music; timbre, instrumentation, and singing voice; musical style and genre; musical affect, emotion and mood; expression and performative aspects of music.

MIR tasks: sound source separation; music transcription and annotation; music generation; optical music recognition; alignment, synchronization, and score following; music summarization; music synthesis and transformation; fingerprinting; automatic classification; indexing and querying; pattern matching and detection; similarity metrics.

Evaluation, datasets, and reproducibility: evaluation methodology; evaluation metrics; novel datasets and use cases; annotation protocols; reproducibility; MIR tasks.

Philosophical and ethical discussions: philosophical and methodological foundations; legal and societal aspects of MIR; ethical issues related to designing and implementing MIR tools and technologies.

Human-centered MIR: user behavior analysis and mining, user modeling; human-computer interaction; music interfaces and services; personalization; user-centered evaluation.

Applications: digital libraries and archives; music retrieval systems; music recommendation and playlist generation; music and health, well-being and therapy; music training and education; music composition, performance, and production; music videos, multimodal music systems; gaming, augmented/virtual reality; music heritage and sustainability; business and marketing.

Overview

This comprehensive ranking provides an authoritative evaluation of scientific conferences within the field of Computer Science. The assessment has been meticulously prepared by Research.com, a premier platform recognized for offering trusted data on scientific contributions across all major research domains, including Computer Science, since 2014. The ranking’s credibility is anchored in an expert-driven process that reflects both depth and rigor of analysis.

Each conference’s position in the ranking is determined by a proprietary bibliometric score developed by Research.com. This unique metric combines the estimated h-index of the conference with the number of leading scientists who have contributed to the conference in the past three years, offering a robust and multidimensional perspective on conference impact.

The Impact Score values presented have been gathered as of 2024-11-27, ensuring the most current and accurate representation of the conferences' significance in the Computer Science research community. The evaluation process involved the careful examination of over 2,742 conferences, each selected following a detailed inspection. The review included rigorous analysis of more than 148,739 scientific documents published within the last three years by 13,184 preeminent and widely respected scholars in the discipline.

This methodology underscores Research.com’s commitment to depth, precision, and transparency in evaluating scientific meetings, enabling researchers, academics, and institutions to make informed decisions based on comprehensive and objective data. For a detailed explanation of the analytical procedures and criteria used to compute the ranking scores, please consult our Methodology Page.

Papers citation over time

A key indicator for each conference 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 at International Symposium/Conference on Music Information Retrieval (based on the number of publications) are:

  • Gerhard Widmer (46 papers) published 7 papers at the last edition, 3 more than at the previous edition,
  • Xavier Serra (40 papers) published 2 papers at the last edition, 7 less than at the previous edition,
  • Meinard Müller (38 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Simon Dixon (34 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Ichiro Fujinaga (28 papers) published 4 papers at the last edition, 2 more than at the previous edition.

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

Only papers with recognized affiliations are considered

The top affiliations publishing at International Symposium/Conference on Music Information Retrieval (based on the number of publications) are:

  • Queen Mary University of London (85 papers) published 9 papers at the last edition, 2 less than at the previous edition,
  • Pompeu Fabra University (81 papers) published 2 papers at the last edition, 10 less than at the previous edition,
  • Johannes Kepler University of Linz (74 papers) published 12 papers at the last edition, 6 more than at the previous edition,
  • McGill University (45 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • New York University (29 papers) published 4 papers at the last edition, 2 less than at the previous edition.

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

Publication chance based on affiliation

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

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 2018 edition, 4.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 39.22% were posted by at least one author from the top 10 institutions publishing at the conference. Another 7.84% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.43% of all publications and 24.51% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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.

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