| Title | Sampling Theory, Signal Processing, and Data Analysis |
| Type of Publication | Journal |
| Discipline | Algebra and Number Theory (Q3); Analysis (Q3); Computational Mathematics (Q3); Radiology, Nuclear Medicine and Imaging (Q3); Signal Processing (Q3) |
| Impact Score | 0.88 |
| SCImago Journal Rank (SJR) | 0.300 |
| h-index | 21 |
| Overall Rank | 15146 |
| Publisher Name | Springer Nature Switzerland AG |
| Publication Country | Switzerland |
| International Standard Serial Number (ISSN) | 27305724, 27305716 |
| Coverage and History | 2021-2022 |
| Best Quartile | Q3 |
| Total Citations Received (Last 3 Year) |
14 |
Sampling Theory, Signal Processing, and Data Analysis is a journal published by Springer Nature Switzerland AG. This journal covers the area[s] related to Algebra and Number Theory, Analysis, Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Signal Processing, etc.
The coverage history of this journal is as follows: 2021-2022.
The rank of this journal is 15146. This journal's impact score, h-index, and SJR are 0.88, 21, and 0.300, respectively. The ISSN of this journal is/are as follows: 27305724, 27305716.
The best quartile of Sampling Theory, Signal Processing, and Data Analysis is Q3.
This journal has received a total of 14 citations during the last three years (Preceding 2022).
The latest impact score (IS) of the Sampling Theory, Signal Processing, and Data Analysis is 0.88. It is computed in the year 2023 as per its definition and based on Scopus data.
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 Sampling Theory, Signal Processing, and Data Analysis is 0.88. If a similar upward trend continues, IS may increase in 2023 as well.
| Year | Impact Score (IS) |
|---|---|
| 2023/2024 | Coming Soon |
| 2022 | 0.88 |
| 2021 | 0.00 |
| 2016 | 0.92 |
| 2015 | 0.74 |
| 2014 | 0.55 |
The h-index of Sampling Theory, Signal Processing, and Data Analysis is 21. By definition of the h-index, this journal has at least 21 published articles with more than 21 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 Sampling Theory, Signal Processing, and Data Analysis is/are as follows: 27305724, 27305716.
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 Sampling Theory, Signal Processing, and Data Analysis is ranked 15146 among 27955 Journals, Conferences, and Book Series.
As per SJR, this journal is ranked 0.300.
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 Sampling Theory, Signal Processing, and Data Analysis is Springer Nature Switzerland AG. The publishing house of this journal is located in the Switzerland. Its coverage history is as follows: 2021-2022.
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 Algebra and Number Theory, Analysis, Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Signal Processing, 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 Sampling Theory, Signal Processing, and Data Analysis is 0.88. It is computed in the year 2023.
The latest h-index of Sampling Theory, Signal Processing, and Data Analysis is 21. It is evaluated in the year 2023.
The latest SCImago Journal Rank (SJR) of Sampling Theory, Signal Processing, and Data Analysis is 0.300. It is calculated in the year 2023.
The latest ranking of Sampling Theory, Signal Processing, and Data Analysis is 15146. This ranking is among 27955 Journals, Conferences, and Book Series. It is computed in the year 2023.
Sampling Theory, Signal Processing, and Data Analysis is published by Springer Nature Switzerland AG. The publication country of this journal is Switzerland.
This standard abbreviation of Sampling Theory, Signal Processing, and Data Analysis is .
Sampling Theory, Signal Processing, and Data Analysis is a journal published by Springer Nature Switzerland AG.
The scope of Sampling Theory, Signal Processing, and Data Analysis is as follows:
For detailed scope of Sampling Theory, Signal Processing, and Data Analysis, check the official website of this journal.
The International Standard Serial Number (ISSN) of Sampling Theory, Signal Processing, and Data Analysis is/are as follows: 27305724, 27305716.
The best quartile for Sampling Theory, Signal Processing, and Data Analysis is Q3.
The coverage history of Sampling Theory, Signal Processing, and Data Analysis is as follows 2021-2022.
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.
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|---|---|---|---|---|---|---|
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| Year | Impact Score (IS) |
|---|---|
| 2023/2024 | Updated Soon |
| 2022 | 0.88 |
| 2021 | 0.00 |
| 2016 | 0.92 |
| 2015 | 0.74 |
| 2014 | 0.55 |
0.88
0.300
21
15146
