| Title | Machine Learning: Science and Technology |
| Type of Publication | Journal |
| Discipline | Artificial Intelligence (Q1); Human-Computer Interaction (Q1); Software (Q1) |
| Impact Score | 6.34 |
| SCImago Journal Rank (SJR) | 1.351 |
| h-index | 22 |
| Overall Rank | 2536 |
| Publisher Name | Institute of Physics Publishing |
| Publication Country | United Kingdom |
| International Standard Serial Number (ISSN) | 26322153 |
| Coverage and History | 2020-2022 |
| Best Quartile | Q1 |
| Total Citations Received (Last 3 Year) |
1142 |
Machine Learning: Science and Technology is a journal published by Institute of Physics Publishing. This journal covers the area[s] related to Artificial Intelligence, Human-Computer Interaction, Software, etc.
The coverage history of this journal is as follows: 2020-2022.
The rank of this journal is 2536. This journal's impact score, h-index, and SJR are 6.34, 22, and 1.351, respectively. The ISSN of this journal is/are as follows: 26322153.
The best quartile of Machine Learning: Science and Technology is Q1.
This journal has received a total of 1142 citations during the last three years (Preceding 2022).
The latest impact score (IS) of the Machine Learning: Science and Technology is 6.34. It is computed in the year 2023 as per its definition and based on Scopus data.
6.34
It is increased by a factor of around 0.61, and the percentage change is 10.65% compared to the preceding year 2021, indicating a rising 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 Machine Learning: Science and Technology is 6.34. If a similar upward trend continues, IS may increase in 2023 as well.
| Year | Impact Score (IS) |
|---|---|
| 2023/2024 | Coming Soon |
| 2022 | 6.34 |
| 2021 | 5.73 |
| 2020 | 0.00 |
The h-index of Machine Learning: Science and Technology is 22. By definition of the h-index, this journal has at least 22 published articles with more than 22 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 Machine Learning: Science and Technology is/are as follows: 26322153.
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 Machine Learning: Science and Technology is ranked 2536 among 27955 Journals, Conferences, and Book Series.
As per SJR, this journal is ranked 1.351.
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 Machine Learning: Science and Technology is Institute of Physics Publishing. The publishing house of this journal is located in the United Kingdom. Its coverage history is as follows: 2020-2022.
Please check the official website of this journal to find out the complete details and Call For Papers (CFPs).
If your area of research or discipline is related to Artificial Intelligence, 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 Machine Learning: Science and Technology is 6.34. It is computed in the year 2023.
The latest h-index of Machine Learning: Science and Technology is 22. It is evaluated in the year 2023.
The latest SCImago Journal Rank (SJR) of Machine Learning: Science and Technology is 1.351. It is calculated in the year 2023.
The latest ranking of Machine Learning: Science and Technology is 2536. This ranking is among 27955 Journals, Conferences, and Book Series. It is computed in the year 2023.
Machine Learning: Science and Technology is published by Institute of Physics Publishing. The publication country of this journal is United Kingdom.
This standard abbreviation of Machine Learning: Science and Technology is .
Machine Learning: Science and Technology is a journal published by Institute of Physics Publishing.
The scope of Machine Learning: Science and Technology is as follows:
For detailed scope of Machine Learning: Science and Technology, check the official website of this journal.
The International Standard Serial Number (ISSN) of Machine Learning: Science and Technology is/are as follows: 26322153.
The best quartile for Machine Learning: Science and Technology is Q1.
The coverage history of Machine Learning: Science and Technology is as follows 2020-2022.
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 |
|---|---|---|---|---|---|---|
| Indian Journal of Plastic Surgery | Journal | Thieme Medical Publishers Inc. | 16018 | 37 | 0.65 | |
| Business: Theory and Practice | Journal | Vilnius Gediminas Technical University | 13414 | 21 | 2.47 | |
| Historia | Journal | Universidade Estadual Paulista | 27560 | 7 | 0.02 | |
| Qualitative Research | Journal | SAGE Publications Ltd | 2108 | 86 | 3.97 | |
| Criminal Justice Review | Journal | SAGE Publications Inc. | 8738 | 41 | 1.30 | |
| Materials Research | Journal | Universidade Federal de Sao Carlos | 14791 | 65 | 1.62 | |
| International Journal of Applied Linguistics | Journal | Wiley-Blackwell Publishing Ltd | 7321 | 51 | 2.00 | |
| Marine Biology Research | Journal | Taylor and Francis Ltd. | 13573 | 42 | 1.06 | |
| Journal, Indian Academy of Clinical Medicine | Journal | Indian Academy of Clinical Medicine | 24608 | 16 | 0.06 | |
| Studies in Continuing Education | Journal | Routledge | 6011 | 38 | 2.81 |
| Year | Impact Score (IS) |
|---|---|
| 2023/2024 | Updated Soon |
| 2022 | 6.34 |
| 2021 | 5.73 |
| 2020 | 0.00 |
6.34
1.351
22
2536
