Note: The impact score shown here is equivalent to the average number of times documents published in a journal/conference in the past two years have been cited in the current year (i.e., Cites / Doc. (2 years)). It is based on Scopus data and can be a little higher or different compared to the impact factor (IF) produced by Journal Citation Report. Please refer to the Web of Science data source to check the exact journal impact factor ™ (Thomson Reuters) metric.
|Title||Nature Machine Intelligence|
|Abbreviation||Nat. Mach. Intell.|
|Subject Area, Categories, Scope||Artificial Intelligence (Q1); Computer Networks and Communications (Q1); Computer Vision and Pattern Recognition (Q1); Human-Computer Interaction (Q1); Software (Q1)|
|SCImago Journal Rank (SJR)||4.894|
|Publisher||Springer Nature Switzerland AG|
Nature Machine Intelligence is a journal covering the technologies/fields/categories related to Artificial Intelligence (Q1); Computer Networks and Communications (Q1); Computer Vision and Pattern Recognition (Q1); Human-Computer Interaction (Q1); Software (Q1). It is published by Springer Nature Switzerland AG. The overall rank of Nature Machine Intelligence is 302. According to SCImago Journal Rank (SJR), this journal is ranked 4.894. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come. SJR acts as an alternative to the Journal Impact Factor (or an average number of citations received in last 2 years). This journal has an h-index of 16. The best quartile for this journal is Q1.
The ISSN of Nature Machine Intelligence journal is 25225839. An International Standard Serial Number (ISSN) is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic. Nature Machine Intelligence is cited by a total of 949 articles during the last 3 years (Preceding 2020).
The impact score (IS) 2020 of Nature Machine Intelligence is 16.65, which is computed in 2021 as per its definition. The impact score (IS), also denoted as Journal impact score (JIS), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. It is based on Scopus data.
IS 2020 of Nature Machine Intelligence is 16.65. If the same upward trend persists, impact score of joule may rise in 2021 as well.
|Year||Impact Score (IS)|
Nature Machine Intelligence has an h-index of 16. It means 16 articles of this journal have more than 16 number of citations. The h-index is a way of measuring the productivity and citation impact of the publications. The h-index is defined as the maximum value of h such that the given journal/author has published h papers that have each been cited at least h number of times.
The ISSN of Nature Machine Intelligence is 25225839. ISSN stands for International Standard Serial Number.
An ISSN is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic.
The overall rank of Nature Machine Intelligence is 302. According to SCImago Journal Rank (SJR), this journal is ranked 4.894. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come.
Nature Machine Intelligence is published by Springer Nature Switzerland AG. It's publishing house is located in Switzerland. Coverage history of this journal is as following: 2019-2020. The organization or individual who handles the printing and distribution of printed or digital publications is known as Publisher.
Visit the official website of the journal/conference to check the further details about the call for papers.
The IS0 4 standard abbreviation of Nature Machine Intelligence is Nat. Mach. Intell.. This abbreviation ('Nat. Mach. Intell.') is well recommended and approved for the purpose of indexing, abstraction, referencing and citing goals. It meets all the essential criteria of ISO 4 standard.
ISO 4 (International Organization for Standardization 4) is an international standard that defines a uniform and consistent system for abbreviating serial publication titles and journals.
If your research field is/are related to Artificial Intelligence (Q1); Computer Networks and Communications (Q1); Computer Vision and Pattern Recognition (Q1); Human-Computer Interaction (Q1); Software (Q1), then please visit the official website of this journal.
The acceptance rate/percentage of any academic journal/conference depends upon many parameters. Some of the critical parameters are listed below.
It is essential to understand that the acceptance rate/rejection rate of papers varies among journals. Some Journals considers all the manuscripts submissions as a basis of acceptance rate computation. On the other hand, few consider the only manuscripts sent for peer review or few even not bother about the accurate maintenance of total submissions. Hence, it can provide a rough estimation only.
The best way to find out the acceptance rate is to reach out to the associated editor or to check the official website of the Journal/Conference.
|Journal/Conference/Workshop/Book Title||Type||Ranking||Publisher||h-index||Impact Score|
|ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, FUELCELL 2017, collocated with the ASME 2017 Power Conference Joint with ICOPE 2017, the ASME 2017 11th Inter||conference and proceedings||17670||2||0.00|
|Citta e Storia||journal||30557||Universita degli studi Roma Tre||5||0.00|
|International Journal of Cultural Property||journal||19209||Cambridge University Press||21||0.59|
|CC 2020 - Proceedings of the 29th International Conference on Compiler Construction||conference and proceedings||32651||2||0.00|
|Proceeding of 2016 10th International Conference on Telecommunication Systems Services and Applications, TSSA 2016: Special Issue in Radar Technology||conference and proceedings||26486||5||0.00|
|Valori e Valutazioni||journal||15777||Societa Italiana di Estimo e Valutazione (SIEV)||11||1.93|
|Health Economics Review||journal||6243||Springer Science and Business Media Deutschland GmbH||24||2.20|
|Neuromodulation||journal||2911||Wiley-Blackwell Publishing Ltd||60||3.56|
|Frontiers of Physics||journal||5601||Springer Science + Business Media||42||3.93|