Neural Networks- Impact Score, Overall Ranking, h-index, SJR, Rating, Publisher, ISSN, and Other Important Metrics

Aim and Scope

Neural Networks is the archival journal of the world three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.

Neural Networks is unique in its range and provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks and related approaches to computational intelligence.

About Neural Networks

Neural Networks is a journal covering the technologies/fields/categories related to Artificial Intelligence (Q1); Cognitive Neuroscience (Q1). It is published by Elsevier Ltd.. The overall rank of Neural Networks is 1095. According to SCImago Journal Rank (SJR), this journal is ranked 2.221. 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 164. The best quartile for this journal is Q1.

The ISSN of Neural Networks journal is 08936080, 18792782. 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. Neural Networks is cited by a total of 9214 articles during the last 3 years (Preceding 2022).

Neural Networks Impact Score 2022-2023

The impact score (IS) 2022 of Neural Networks is 8.67, which is computed in 2023 as per its definition. Neural Networks IS is decreased by a factor of 1.24 and approximate percentage change is -12.51% when compared to preceding year 2021, which shows a falling trend. 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.

Neural Networks Impact Score 2023 Prediction

IS 2022 of Neural Networks is 8.67. If the same downward trend persists, impact score may fall in 2023 as well.

Neural Networks h-index

 

Neural Networks has an h-index of 164. It means 164 articles of this journal have more than 164 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.

Neural Networks ISSN

The ISSN of Neural Networks is 08936080, 18792782. 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.

Neural Networks Rank and SCImago Journal Rank (SJR)

The overall rank of Neural Networks is 1095. According to SCImago Journal Rank (SJR), this journal is ranked 2.221. 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 of Neural Networks by Year

Ranking of Neural Networks by Year

Neural Networks Publisher

Neural Networks is published by Elsevier Ltd.. It's publishing house is located in United Kingdom. Coverage history of this journal is as following: 1988-2022. The organization or individual who handles the printing and distribution of printed or digital publications is known as Publisher.

Call For Papers

Visit the official website of the journal/conference to check the further details about the call for papers.

Abbreviation

The IS0 4 standard abbreviation of Neural Networks is Neural Netw.. This abbreviation ('Neural Netw.') 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.

How to publish in Neural Networks

If your research field is/are related to Artificial Intelligence (Q1); Cognitive Neuroscience (Q1), then please visit the official website of this journal.

Acceptance Rate

The acceptance rate/percentage of any academic journal/conference depends upon many parameters. Some of the critical parameters are listed below.

• The demand or interest of researchers/scientists in publishing in a specific Journal/Conference.
• Peer review complexity and timeline.
• The mix of unsolicited and invited submissions.
• The time it takes from manuscript submission to final publication.
• And Many More.

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.

Credits and Sources

• Scimago Journal & Country Rank (SJR), https://www.scimagojr.com/
• Journal Impact Factor, https://clarivate.com/