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Neuro-Fuzzy Modeling Techniques in Economics

Impact, Factor and Metrics, Impact Score, Ranking, h-index, SJR, Rating, Publisher, ISSN, and More

Last Updated on June 27, 2025

Impact Score

2024-2025

0.55

h-Index

2024-2025

 6

Rank

2024-2025

 24403

SJR

2024-2025

 0.152

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.

Important Metrics and Factor

Title Neuro-Fuzzy Modeling Techniques in Economics
Abbreviation Neuro-Fuzzy Model. Tech. Econ.
Publication Type Journal
Subject Area, Categories, Scope Applied Mathematics (Q4); Economics, Econometrics and Finance (miscellaneous) (Q4); Management Science and Operations Research (Q4); Statistics and Probability (Q4); Statistics, Probability and Uncertainty (Q4)
h-index 6
Overall Rank/Ranking 24403
SCImago Journal Rank (SJR) 0.152
Impact Score 0.55
Publisher Vadym Hetman Kyiv National University of Economics
Country Ukraine
ISSN 24153516, 23063289
Best Quartile Q4
Coverage History 2019, 2021-2023




About Neuro-Fuzzy Modeling Techniques in Economics


Neuro-Fuzzy Modeling Techniques in Economics is a journal covering the technologies/fields/categories related to Applied Mathematics (Q4); Economics, Econometrics and Finance (miscellaneous) (Q4); Management Science and Operations Research (Q4); Statistics and Probability (Q4); Statistics, Probability and Uncertainty (Q4). It is published by Vadym Hetman Kyiv National University of Economics. The overall rank of Neuro-Fuzzy Modeling Techniques in Economics is 24403. According to SCImago Journal Rank (SJR), this journal is ranked 0.152. 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 6. The best quartile for this journal is Q4.

The ISSN of Neuro-Fuzzy Modeling Techniques in Economics journal is 24153516, 23063289. 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. Neuro-Fuzzy Modeling Techniques in Economics is cited by a total of 12 articles during the last 3 years (Preceding 2024).


Neuro-Fuzzy Modeling Techniques in Economics Impact IF 2024-2025


The Impact IF 2024 of Neuro-Fuzzy Modeling Techniques in Economics is 0.55, which is computed in 2025 as per its definition. Neuro-Fuzzy Modeling Techniques in Economics IF is decreased by a factor of 0.53 and approximate percentage change is -49.07% when compared to preceding year 2023, which shows a falling 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.

Table Setting

Neuro-Fuzzy Modeling Techniques in Economics Impact IF 2025 Prediction


Impact IF 2024 of Neuro-Fuzzy Modeling Techniques in Economics is 0.55. If the same downward trend persists, Impact IF may fall in 2025 as well.


Impact IF Trend


Year wise Impact IF of Neuro-Fuzzy Modeling Techniques in Economics. Based on Scopus data.


Year Impact IF
2025/2026 Coming Soon
2024 0.55
2023 1.08

Neuro-Fuzzy Modeling Techniques in Economics h-index


  Table Setting

Neuro-Fuzzy Modeling Techniques in Economics has an h-index of 6. It means 6 articles of this journal have more than 6 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.




Neuro-Fuzzy Modeling Techniques in Economics ISSN


The ISSN of Neuro-Fuzzy Modeling Techniques in Economics is 24153516, 23063289. 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.

Table Setting

Neuro-Fuzzy Modeling Techniques in Economics Rank and SCImago Journal Rank (SJR)


The overall rank of Neuro-Fuzzy Modeling Techniques in Economics is 24403. According to SCImago Journal Rank (SJR), this journal is ranked 0.152. 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 Neuro-Fuzzy Modeling Techniques in Economics by Year


Year SJR
2025/2026 Coming Soon
2024 0.152
2023 0.129

Ranking of Neuro-Fuzzy Modeling Techniques in Economics by Year


Year Ranking
2025/2026 Coming Soon
2024 24403
2023 24712

Neuro-Fuzzy Modeling Techniques in Economics Publisher


Table Setting

Neuro-Fuzzy Modeling Techniques in Economics is published by Vadym Hetman Kyiv National University of Economics. It's publishing house is located in Ukraine. Coverage history of this journal is as following: 2019, 2021-2023. 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 Neuro-Fuzzy Modeling Techniques in Economics is Neuro-Fuzzy Model. Tech. Econ.. This abbreviation ('Neuro-Fuzzy Model. Tech. Econ.') 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 Neuro-Fuzzy Modeling Techniques in Economics


If your research field is/are related to Applied Mathematics (Q4); Economics, Econometrics and Finance (miscellaneous) (Q4); Management Science and Operations Research (Q4); Statistics and Probability (Q4); Statistics, Probability and Uncertainty (Q4), 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.



Frequently Asked Questions (FAQs)


What's the latest impact IF of the Neuro-Fuzzy Modeling Techniques in Economics?

Neuro-Fuzzy Modeling Techniques in Economics latest impact IF is 0.55. It's evaluated in the year 2024. The highest and the lowest impact IF or impact score of this journal are 1.08 (2023) and 0.55 (2024), respectively, in the last 2 years. Moreover, its average IS is 0.82 in the previous 2 years.


What's the SCImago Journal Rank (SJR) of the Neuro-Fuzzy Modeling Techniques in Economics?

The Neuro-Fuzzy Modeling Techniques in Economics has an SJR (SCImago Journal Rank) of 0.152, according to the latest data. It is computed in the year 2025. In the past 2 years, this journal has recorded a range of SJR, with the highest being 0.152 in 2024 and the lowest being 0.129 in 2023. Furthermore, the average SJR of the Neuro-Fuzzy Modeling Techniques in Economics over the previous 2-year period stands at 0.82.


What's the latest h-index of the Neuro-Fuzzy Modeling Techniques in Economics?

The latest h-index of the Neuro-Fuzzy Modeling Techniques in Economics is 6.


Who's the publisher of the Neuro-Fuzzy Modeling Techniques in Economics?

The Neuro-Fuzzy Modeling Techniques in Economics is published by the Vadym Hetman Kyiv National University of Economics, with its country of publication being the Ukraine.


What's the current ranking of the Neuro-Fuzzy Modeling Techniques in Economics?

The Neuro-Fuzzy Modeling Techniques in Economics is currently ranked 24403 out of 27955 Journals, Conferences, and Book Series in the latest ranking. Over the course of the last 2 years, this journal has experienced varying rankings, reaching its highest position of 24403 in 2024 and its lowest position of 24712 in 2023.


What's the abbreviation or short name for the Neuro-Fuzzy Modeling Techniques in Economics?

The standard ISO4 abbreviation for the Neuro-Fuzzy Modeling Techniques in Economics is Neuro-Fuzzy Model. Tech. Econ..


Is the "Neuro-Fuzzy Modeling Techniques in Economics" classified as a Journal, Conference and Proceedings, Trade Journal or Book Series?

Neuro-Fuzzy Modeling Techniques in Economics is classified as a journal that the Vadym Hetman Kyiv National University of Economics publishes.


What's the scope or major areas of the Neuro-Fuzzy Modeling Techniques in Economics?

The Neuro-Fuzzy Modeling Techniques in Economics encompasses the following areas:

  • Applied Mathematics
  • Economics, Econometrics and Finance (miscellaneous)
  • Management Science and Operations Research
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

For a more comprehensive understanding of its scope, check the official website of this journal.


What's the ISSN of the Neuro-Fuzzy Modeling Techniques in Economics?

The Neuro-Fuzzy Modeling Techniques in Economics is assigned the following International Standard Serial Numbers (ISSN): 24153516, 23063289.


What's the best quartile of the Neuro-Fuzzy Modeling Techniques in Economics?

The best quartile for the Neuro-Fuzzy Modeling Techniques in Economics is Q4 (2024).


What's the coverage history of the Neuro-Fuzzy Modeling Techniques in Economics?

The Neuro-Fuzzy Modeling Techniques in Economics coverage history can be summarized as follows: 2019, 2021-2023.


Credits and Sources


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



Impact Score, h-Index, and Other Important Details of These Journals, Conferences, and Books


Journal/Conference/Workshop/Book Title Type Ranking Publisher h-index Impact Score
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IEEE/OSA Journal of Display Technology journal 12809 IEEE Computer Society 68 0.00
Milan Journal of Mathematics journal 5131 Birkhauser Verlag Basel 31 0.74
Air and Space Power Journal (discontinued) journal 28397 AU Press 9 0.20
Journal, Indian Academy of Clinical Medicine journal 28559 Indian Academy of Clinical Medicine 16 0.10
Journal of Education and Work journal 8987 Brill Academic Publishers 47 2.08
Transnational Corporations journal 13970 UNCTAD United Nations Conference on Trade and Development 30 1.63

Check complete list




Year wise Impact Score (IS) of Neuro-Fuzzy Modeling Techniques in Economics

Impact Score Table

Year Impact Score (IS)
2025/2026 Coming Soon
2024 0.55
2023 1.08



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