| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 832 | 14 | 17 | 5 |
The main points discussed in Acoustical Science and Technology deals with Acoustics, Speech recognition, Optics, Sound (geography) and Artificial intelligence. Sound localization, Loudspeaker, Room acoustics, Noise and Acoustic source localization are some of the study areas of Acoustics discussed. In Acoustical Science and Technology, Psychoacoustics and Perception are investigated in conjunction with one another to address concerns in Speech recognition research.
The research on Artificial intelligence featured in the journal combines topics in other fields like Pattern recognition, Computer vision and Natural language processing.
The published papers investigate studies in Acoustics, Speech recognition, Optics, Perception and Sound (geography). The most cited articles focus on Acoustics research which is adjacent to topics in Head (vessel). Aside from discussions in Speech recognition, the journal papers also deal with the subject of Speech enhancement which intersects with Intelligibility (communication) disciplines.
The journal facilitates discussions on Acoustics, Speech recognition, Sound (geography), Audiology and Vocal tract. Acoustics research discussed connects with the study of Dimension (vector space). Speaker verification is the primary subject of Speech recognition works presented in Acoustical Science and Technology.
The journal holds forums on Sound (geography) that merges themes from other disciplines such as Sound quality, Detection limit and Direction of arrival. Acoustical Science and Technology explores issues in Audiology which can be linked to other research areas like Stimulus modality and Association (psychology). While Acoustical Science and Technology focused on Vocal tract, it was also able to explore topics like Zoology, Bass (sound), Electroglottograph and Vowel.
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 Acoustical Science and Technology (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 Acoustical Science and Technology (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.95% were posted by at least one author from the top 10 institutions publishing in the journal. Another 26.19% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.90% of all publications and 30.95% 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.
Important contributions have been made to the field of acoustical science and technology by various professionals. One such group includes preschool teachers in South Dakota, who play a crucial role in understanding and implementing techniques related to acoustics, speech recognition, and even artificial intelligence in early childhood learning. Their unique insights based on their field experiences can add enriching perspectives to discussions in these academic disciplines. If you wish to explore their career path and the work they do, you can find more information on how to become a preschool teacher in South Dakota. By integrating their perspective into our dialogue, we can foster a greater understanding of these research areas' practical application and enrich the multidisciplinary nature of our discussions at Acoustical Science and Technology.
Shinnosuke Takamichi;Ryosuke Sonobe;Kentaro Mitsui;Yuki Saito
(2020)Giovanni M. Di Liberto;Claire Pelofi;Shihab Shamma;Shihab Shamma;Alain de Cheveigné;Alain de Cheveigné
(2020)Keisuke Matsubara;Keisuke Matsubara;Takuma Okamoto;Ryoichi Takashima;Tetsuya Takiguchi
(2021)Ryo Aihara;Gordon Wichern;Jonathan Le Roux
(2020)Sei Ueno;Masato Mimura;Shinsuke Sakai;Tatsuya Kawahara
(2021)Craig T. Jin;Shiduo Yu;Fabio Antonacci;Augusto Sarti
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