| Title | Machine Learning: Science and Technology |
| Abbreviation | Mach. Learn.: Sci. Technol. |
| Publication Type | Journal |
| Subject Area, Categories, Scope | Artificial Intelligence (Q1); Human-Computer Interaction (Q1); Software (Q1) |
| h-index | 31 |
| Overall Rank/Ranking | 2238 |
| SCImago Journal Rank (SJR) | 1.506 |
| Impact Score | 6.58 |
| Publisher | Institute of Physics Publishing |
| Country | United Kingdom |
| ISSN | 26322153 |
| Best Quartile | Q1 |
| Coverage History | 2020-2023 |
Machine Learning: Science and Technology is a journal covering the technologies/fields/categories related to Artificial Intelligence (Q1); Human-Computer Interaction (Q1); Software (Q1). It is published by Institute of Physics Publishing. The overall rank of Machine Learning: Science and Technology is 2238. According to SCImago Journal Rank (SJR), this journal is ranked 1.506. 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 31. The best quartile for this journal is Q1.
The ISSN of Machine Learning: Science and Technology journal is 26322153. 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. Machine Learning: Science and Technology is cited by a total of 1965 articles during the last 3 years (Preceding 2023).
The Impact IF 2023 of Machine Learning: Science and Technology is 6.58, which is computed in 2024 as per its definition. Machine Learning: Science and Technology IF is increased by a factor of 0.24 and approximate percentage change is 3.79% when compared to preceding year 2022, which shows a rising trend. The impact IF, 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.
Impact IF 2023 of Machine Learning: Science and Technology is 6.58. If the same upward trend persists, Impact IF may rise in 2024 as well.
| Year | Impact IF |
|---|---|
| 2023/2024 | Coming Soon |
| 2023 | 6.58 |
| 2022 | 6.34 |
| 2021 | 5.73 |
| 2020 | 0.00 |
Machine Learning: Science and Technology has an h-index of 31. It means 31 articles of this journal have more than 31 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 Machine Learning: Science and Technology is 26322153. 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 Machine Learning: Science and Technology is 2238. According to SCImago Journal Rank (SJR), this journal is ranked 1.506. 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.
| Year | SJR |
|---|---|
| 2023/2024 | Coming Soon |
| 2023 | 1.506 |
| 2022 | 1.351 |
| 2021 | 1.087 |
| 2020 |
| Year | Ranking |
|---|---|
| 2023/2024 | Coming Soon |
| 2023 | 2238 |
| 2022 | 2536 |
| 2021 | 3594 |
| 2020 | 34167 |
Machine Learning: Science and Technology is published by Institute of Physics Publishing. It's publishing house is located in United Kingdom. Coverage history of this journal is as following: 2020-2023. 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 Machine Learning: Science and Technology is Mach. Learn.: Sci. Technol.. This abbreviation ('Mach. Learn.: Sci. Technol.') 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); 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.
Machine Learning: Science and Technology latest impact IF is 6.58. It's evaluated in the year 2023. The highest and the lowest impact IF or impact score of this journal are 6.58 (2023) and 0.00 (2020), respectively, in the last 4 years. Moreover, its average IS is 4.66 in the previous 4 years.
The Machine Learning: Science and Technology has an SJR (SCImago Journal Rank) of 1.506, according to the latest data. It is computed in the year 2024. In the past 4 years, this journal has recorded a range of SJR, with the highest being 1.506 in 2023 and the lowest being in 2020. Furthermore, the average SJR of the Machine Learning: Science and Technology over the previous 4-year period stands at 4.66.
The latest h-index of the Machine Learning: Science and Technology is 31.
The Machine Learning: Science and Technology is published by the Institute of Physics Publishing, with its country of publication being the United Kingdom.
The Machine Learning: Science and Technology is currently ranked 2238 out of 27955 Journals, Conferences, and Book Series in the latest ranking. Over the course of the last 4 years, this journal has experienced varying rankings, reaching its highest position of 2238 in 2023 and its lowest position of 34167 in 2020.
The standard ISO4 abbreviation for the Machine Learning: Science and Technology is Mach. Learn.: Sci. Technol..
Machine Learning: Science and Technology is classified as a journal that the Institute of Physics Publishing publishes.
The Machine Learning: Science and Technology encompasses the following areas:
For a more comprehensive understanding of its scope, check the official website of this journal.
The Machine Learning: Science and Technology is assigned the following International Standard Serial Numbers (ISSN): 26322153.
The best quartile for the Machine Learning: Science and Technology is Q1 (2023).
The Machine Learning: Science and Technology coverage history can be summarized as follows: 2020-2023.
| Journal/Conference/Workshop/Book Title | Type | Ranking | Publisher | h-index | Impact Score |
|---|---|---|---|---|---|
| European Union Politics | journal | 2569 | SAGE Publications Ltd | 75 | 3.24 |
| Journal of International Financial Management and Accounting | journal | 1921 | Wiley-Blackwell Publishing Ltd | 45 | 9.38 |
| Discourse | journal | 6196 | Routledge | 65 | 2.36 |
| Child and Family Social Work | journal | 8089 | Wiley-Blackwell Publishing Ltd | 75 | 2.10 |
| International Journal of Applied Linguistics | journal | 6241 | Wiley-Blackwell Publishing Ltd | 53 | 1.91 |
| Proceedings of the International Semiconductor Conference, CAS | conference and proceedings | 25734 | Institute of Electrical and Electronics Engineers Inc. | 16 | 0.00 |
| Biological Procedures Online | journal | 4092 | BioMed Central Ltd | 48 | 3.54 |
| Archiv fur Geflugelkunde | journal | 28770 | Verlag Eugen Ulmer | 30 | 0.00 |
| Engenharia Agricola | journal | 17841 | Sociedade Brasileira de Engenharia Agricola | 32 | 1.00 |
| Expert Review of Clinical Pharmacology | journal | 4520 | Taylor and Francis Ltd. | 60 | 3.53 |
| Year | Impact Score (IS) |
|---|---|
| 2024/2025 | Coming Soon |
| 2023 | 6.58 |
| 2022 | 6.34 |
| 2021 | 5.73 |
| 2020 | 0.00 |
