Title | Nature Machine Intelligence |
Standard Abbreviation | Nat. Mach. Intell. |
Type of Publication | Journal |
Discipline | Artificial Intelligence (Q1); Computer Networks and Communications (Q1); Computer Vision and Pattern Recognition (Q1); Human-Computer Interaction (Q1); Software (Q1) |
Impact Score | 16.66 |
SCImago Journal Rank (SJR) | 6.210 |
h-index | 47 |
Overall Rank | 182 |
Publisher Name | Springer Nature Switzerland AG |
Publication Country | Switzerland |
International Standard Serial Number (ISSN) | 25225839 |
Coverage and History | 2019-2022 |
Best Quartile | Q1 |
Total Citations Received (Last 3 Year) |
6247 |
Nature Machine Intelligence is a journal published by Springer Nature Switzerland AG. This journal covers the area[s] related to Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, Software, etc.
The coverage history of this journal is as follows: 2019-2022.
The rank of this journal is 182. This journal's impact score, h-index, and SJR are 16.66, 47, and 6.210, respectively. The ISSN of this journal is/are as follows: 25225839.
The best quartile of Nature Machine Intelligence is Q1.
This journal has received a total of 6247 citations during the last three years (Preceding 2022).
The latest impact score (IS) of the Nature Machine Intelligence is 16.66. It is computed in the year 2023 as per its definition and based on Scopus data.
16.66
It is decreased by a factor of around 0.23, and the percentage change is -1.36% compared to the preceding year 2021, indicating a falling trend.
The impact score (IS), also denoted as the 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.
Impact Score 2022 of Nature Machine Intelligence is 16.66. If a similar downward trend continues, IS may decrease in 2023 as well.
Year | Impact Score (IS) |
---|---|
2023/2024 | Coming Soon |
2022 | 16.66 |
2021 | 16.89 |
2020 | 13.17 |
2019 | 0.00 |
The h-index of Nature Machine Intelligence is 47. By definition of the h-index, this journal has at least 47 published articles with more than 47 citations.
The h-index (also known as the Hirsch index or Hirsh index) is a scientometric parameter used to evaluate the scientific impact of the publications and journals. It is defined as the maximum value of h such that the given Journal has published at least h papers and each has at least h citations.
The International Standard Serial Number (ISSN) of Nature Machine Intelligence is/are as follows: 25225839.
The ISSN is a unique 8-digit identifier for a specific publication like Magazine or Journal. The ISSN is used in the postal system and in the publishing world to identify the articles that are published in journals, magazines, newsletters, etc. This is the number assigned to your article by the publisher, and it is the one you will use to reference your article within the library catalogues.
ISSN code (also called as "ISSN structure" or "ISSN syntax") can be expressed as follows: NNNN-NNNC
Here, N is in the set {0,1,2,3...,9}, a digit character, and C is in {0,1,2,3,...,9,X}
The Nature Machine Intelligence is ranked 182 among 27955 Journals, Conferences, and Book Series.
As per SJR, this journal is ranked 6.210.
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.
The publisher of Nature Machine Intelligence is Springer Nature Switzerland AG. The publishing house of this journal is located in the Switzerland. Its coverage history is as follows: 2019-2022.
Please check the official website of this journal to find out the complete details and Call For Papers (CFPs).
The International Organization for Standardization 4 (ISO 4) abbreviation of Nature Machine Intelligence is Nat. Mach. Intell.. ISO 4 is an international standard which defines a uniform and consistent system for the abbreviation of serial publication titles, which are published regularly. The primary use of ISO 4 is to abbreviate or shorten the names of scientific journals using the technique of List of Title Word Abbreviations (LTWA).
As ISO 4 is an international standard, the abbreviation ('Nat. Mach. Intell.') can be used for citing, indexing, abstraction, and referencing purposes.
If your area of research or discipline is related to Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, Software, etc., please check the journal's official website to understand the complete publication process.
There are several factors that influence the acceptance rate of any academic journal. Here are some critical parameters that are considered while calculating the acceptance rate:
The simplest way to find out the acceptance rate or rejection rate of a Journal/Conference is to check with the journal's/conference's editorial team through emails or through the official website.
The latest impact score of Nature Machine Intelligence is 16.66. It is computed in the year 2023.
The latest h-index of Nature Machine Intelligence is 47. It is evaluated in the year 2023.
The latest SCImago Journal Rank (SJR) of Nature Machine Intelligence is 6.210. It is calculated in the year 2023.
The latest ranking of Nature Machine Intelligence is 182. This ranking is among 27955 Journals, Conferences, and Book Series. It is computed in the year 2023.
Nature Machine Intelligence is published by Springer Nature Switzerland AG. The publication country of this journal is Switzerland.
This standard abbreviation of Nature Machine Intelligence is Nat. Mach. Intell..
Nature Machine Intelligence is a journal published by Springer Nature Switzerland AG.
The scope of Nature Machine Intelligence is as follows:
For detailed scope of Nature Machine Intelligence, check the official website of this journal.
The International Standard Serial Number (ISSN) of Nature Machine Intelligence is/are as follows: 25225839.
The best quartile for Nature Machine Intelligence is Q1.
The coverage history of Nature Machine Intelligence is as follows 2019-2022.
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.
Journal/Conference/Book Title | Type | Publisher | Ranking | SJR | h-index | Impact Score |
---|---|---|---|---|---|---|
Business: Theory and Practice | Journal | Vilnius Gediminas Technical University | 13414 | 21 | 2.47 | |
Clinical Medicine and Research | Journal | Marshfield Clinic | 16602 | 60 | 1.06 | |
Journal of International Financial Management and Accounting | Journal | Wiley-Blackwell Publishing Ltd | 6179 | 42 | 6.09 | |
Business Strategy Review | Journal | Wiley-Blackwell Publishing Ltd | 31512 | 33 | 0.04 | |
Air and Space Power Journal (discontinued) | Journal | AU Press | 28397 | 9 | 0.20 | |
Mathematical Modelling and Analysis | Journal | Vilnius Gediminas Technical University | 11315 | 27 | 1.75 | |
Modern Language Journal | Journal | Wiley-Blackwell | 918 | 103 | 3.89 | |
Sapporo Medical Journal | Journal | Cancer Research Institute, Sapporo Medical University | 20468 | 3 | 0.00 | |
International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS | Conference And Proceedings | Association for Computing Machinery (ACM) | 781 | 100 | 8.01 | |
Proceedings of the Royal Society of Queensland | Journal | Royal Society of Queensland | 22998 | 12 | 0.48 |
Year | Impact Score (IS) |
---|---|
2023/2024 | Updated Soon |
2022 | 16.66 |
2021 | 16.89 |
2020 | 13.17 |
2019 | 0.00 |