0148-9267
Published by: Massachusetts Institute of Technology Press
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 984 | 9 | 9 | 3 |
The foci of Computer Music Journal are Computer music, Multimedia, Musical, Speech recognition and Visual arts. Computer Music Journal connects the study in Musical with the closely related area of Human–computer interaction.
The published articles are organized to address concerns in the fields of Computer music, Speech recognition, Musical, Multimedia and Artificial intelligence. While work presented in the journal articles provide substantial information on Computer music, it also covers topics in Music theory, MIDI, Musical composition, Pop music automation and Electronic music. Research in Musical tackled in falls within the umbrella of Visual arts.
The scientific interests tackled in the journal are Musical expression, Inclusion (education), Visual arts, Sound (geography) and Acoustics. Some problems in Musical expression that were presented in it overlapped with concepts under Variety (cybernetics), Haptic technology, Qualitative property and Comprehension. The studies in Inclusion (education) featured incorporate elements of Mathematics education, Music technology, Multimedia and Library science.
Arts festival and Computer music are all topics related to Visual arts research discussed. The journal dives deep in exploring the relationship between the study of Sound (geography) and Interface (Java). It addresses concerns in the field of Room acoustics by exploring it in line with topics in Sonification which intersect with Dynamics (music), Multivariate statistics, Animation and Computer graphics (images) subjects.
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 Computer Music Journal (based on the number of publications) are:
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 Computer Music Journal (based on the number of publications) are:
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.
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, 47.83% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.33% of all publications and 58.33% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
One significant topical discrepancy in the contributions to the Computer Music Journal is the lack of research related to Special Education. This field holds immense potential as it explores how the intersection of music and technology can have positive effects on learners with special needs. In the realm of music therapy and assistive technology, there are ample opportunities for exploration and development. The absence of content related to Special Education may not fully represent the broader interests of the field and the readership. Including this research domain in future issues would foster more comprehensive discourse. Interested readers and researchers who wish to submit papers addressing this gap are encouraged to familiarize themselves with the appropriate educational qualifications. For prospective contributors from North Dakota, you can refer to the special ed teacher requirements in North Dakota. Advancing your career in this domain can enable you to bridge this gap in the Computer Music Journal.
David Johnson;Daniela E. Damian;George Tzanetakis
(2020)Stefano Scarani;Adolfo Muñoz;Jaime Serquera;Jorge Sastre
(2020)Stefan Bilbao;James Perry;Paul Graham;Alan Gray
(2020)Ken Déguernel;Emmanuel Vincent;Jérôme Nika;Gérard Assayag
(2020)Charles Patrick Martin;Jim Torresen
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