Note: The impact score or impact index 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||Natural Resource Modelling|
|Abbreviation||Nat. Resour. Model.|
|Subject Area, Categories, Scope||Environmental Science (miscellaneous) (Q3); Modeling and Simulation (Q3)|
|SCImago Journal Rank (SJR)||0.330|
|Coverage History||1990, 1992-1995, 1997-2022|
Natural Resource Modelling is a journal covering the technologies/fields/categories related to Environmental Science (miscellaneous) (Q3); Modeling and Simulation (Q3). It is published by Wiley-Blackwell. The overall rank of Natural Resource Modelling is 14232. According to SCImago Journal Rank (SJR), this journal is ranked 0.330. 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 34. The best quartile for this journal is Q3.
The ISSN of Natural Resource Modelling journal is 08908575, 19397445. 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. Natural Resource Modelling is cited by a total of 189 articles during the last 3 years (Preceding 2022).
The impact score (IS) 2022 of Natural Resource Modelling is 1.48, which is computed in 2023 as per its definition. Natural Resource Modelling IS is increased by a factor of 0.16 and approximate percentage change is 12.12% when compared to preceding year 2021, which shows a rising 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.
IS 2022 of Natural Resource Modelling is 1.48. If the same upward trend persists, impact score may rise in 2023 as well.
|Year||Impact Score (IS)|
Natural Resource Modelling has an h-index of 34. It means 34 articles of this journal have more than 34 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 Natural Resource Modelling is 08908575, 19397445. 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 Natural Resource Modelling is 14232. According to SCImago Journal Rank (SJR), this journal is ranked 0.330. 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.
Natural Resource Modelling is published by Wiley-Blackwell. It's publishing house is located in United States. Coverage history of this journal is as following: 1990, 1992-1995, 1997-2022. 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 Natural Resource Modelling is Nat. Resour. Model.. This abbreviation ('Nat. Resour. Model.') 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 Environmental Science (miscellaneous) (Q3); Modeling and Simulation (Q3), 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.
The latest impact index of the Natural Resource Modelling is 1.48. It's evaluated in the year 2022. The highest and the lowest impact index or impact score of this journal are 1.61 (2014) and 0.51 (2016), respectively, in the last 9 years. Moreover, its average IS is 1.05 in the previous 9 years.
The Natural Resource Modelling has an SJR (SCImago Journal Rank) of 0.330, according to the latest data. It is computed in the year 2023. In the past 9 years, this journal has recorded a range of SJR, with the highest being 0.631 in 2014 and the lowest being 0.250 in 2017. Furthermore, the average SJR of the Natural Resource Modelling over the previous 9-year period stands at 1.05.
The latest h-index of the Natural Resource Modelling is 34.
The Natural Resource Modelling is published by the Wiley-Blackwell, with its country of publication being the United States.
The Natural Resource Modelling is currently ranked 14232 out of 27955 Journals, Conferences, and Book Series in the latest ranking. Over the course of the last 9 years, this journal has experienced varying rankings, reaching its highest position of 7385 in 2014 and its lowest position of 15520 in 2020.
The standard ISO4 abbreviation for the Natural Resource Modelling is Nat. Resour. Model..
Natural Resource Modelling is classified as a journal that the Wiley-Blackwell publishes.
The Natural Resource Modelling encompasses the following areas:
For a more comprehensive understanding of its scope, check the official website of this journal.
The Natural Resource Modelling is assigned the following International Standard Serial Numbers (ISSN): 08908575, 19397445.
The best quartile for the Natural Resource Modelling is Q3 (2022).
The Natural Resource Modelling coverage history can be summarized as follows: 1990, 1992-1995, 1997-2022.
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