Genetic Programming and Evolvable Machines
Latest Journal's Impact IF - Trend · Prediction · Ranking · Key Factor Analysis


Journal's Impact IF

2023-2024

2.522

47.1%

Journal's Impact IF Trend

Journal's Impact Ranking

Genetic Programming and Evolvable Machines

Journal's Impact Ranking
Category Quartile Rank Percentile
Mathematics - Theoretical Computer Science -Q1 -29/123
-76%
Computer Science - Computer Science Applications -Q2 -250/747
-66%
Computer Science - Hardware and Architecture -Q2 -66/167
-60%
Computer Science - Software -Q2 -167/398
-58%
Journal's Impact IF Ranking

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Highly Cited Articles

Genetic Programming and Evolvable Machines

High Impact Research Articles
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Highly Cited Keywords

Genetic Programming and Evolvable Machines

High Impact Research Keywords

Journal Research Scope

Research Scope

Related Journals

Genetic Programming and Evolvable Machines

Similar Journals

Genetic Programming and Evolvable Machines

The 2023-2024 Journal's Impact IF of Genetic Programming and Evolvable Machines is 2.522, which is just updated in 2024.

Genetic Programming and Evolvable Machines Journal's Impact IF
Highest IF
2.522
Highest Journal's Impact IF

The highest Journal's Impact IF of Genetic Programming and Evolvable Machines is 2.522.

Lowest IF
0.903
Lowest Journal's Impact IF

The lowest Journal's Impact IF of Genetic Programming and Evolvable Machines is 0.903.

Total Growth Rate
89.2%
IF Total Growth Rate

The total growth rate of Genetic Programming and Evolvable Machines IF is 89.2%.

Annual Growth Rate
8.9%
IF Annual Growth Rate

The annual growth rate of Genetic Programming and Evolvable Machines IF is 8.9%.

Journal's Impact IF History

Genetic Programming and Evolvable Machines

Journal's Impact IF Trend

Year Journal's Impact IF
Year Journal's Impact IF
2024-2025 Check our Real-Time IF and IF Prediction Results
2021-2022 2.522
2020-2021 1.714
2019-2020 1.781
2018-2019 1.333
2017-2018 1.455
2016-2017 1.514
2015-2016 1.143
2014-2015 0.903
2013-2014 1.065
2012-2011 1.333
Journal's Impact IF History

· The 2021-2022 Journal's Impact IF of Genetic Programming and Evolvable Machines is 2.522
· The 2020-2021 Journal's Impact IF of Genetic Programming and Evolvable Machines is 1.714
· The 2019-2020 Journal's Impact IF of Genetic Programming and Evolvable Machines is 1.781
· The 2018-2019 Journal's Impact IF of Genetic Programming and Evolvable Machines is 1.333
· The 2017-2018 Journal's Impact IF of Genetic Programming and Evolvable Machines is 1.455
· The 2016-2017 Journal's Impact IF of Genetic Programming and Evolvable Machines is 1.514
· The 2015-2016 Journal's Impact IF of Genetic Programming and Evolvable Machines is 1.143
· The 2014-2015 Journal's Impact IF of Genetic Programming and Evolvable Machines is 0.903
· The 2013-2014 Journal's Impact IF of Genetic Programming and Evolvable Machines is 1.065
· The 2012-2011 Journal's Impact IF of Genetic Programming and Evolvable Machines is 1.333

Genetic Programming and Evolvable Machines

Journal Key Metrics
Journal Title Genetic Programming and Evolvable Machines
ISSN 1389-2576
ISSN (Online) 1573-7632
Publisher
Springer New York
Publication Frequency
Quarterly
Coverage
2003 - Present
Open Access
NO
Language
English
Highest Journal's Impact IF (2011 - 2024) 2.522
Lowest Journal's Impact IF (2011 - 2024) 0.903
Total Journal's Impact IF Growth Rate (2011 - 2024) 89.2%
Avarage Journal's Impact IF Growth Rate (2011 - 2024) 8.9%
Annual Journal's Impact IF Growth Rate (2023 - 2024) 47.1 %
Publication Fees
Homepage
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Genetic Programming and Evolvable Machines

Journal's Impact IF 2024-2025 Prediction
Genetic Programming and Evolvable Machines Journal's Impact IF Predition System

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Genetic Programming and Evolvable Machines
Journal Profile

About

The journal of Genetic Programming and Evolvable Machines is devoted to reporting innovative and significant progress in automatic evolution of software and hardware. Methods for artificial evolution of active components, such as programs or machines, are rapidly developing branches of adaptive computation and adaptive engineering. They entail the development, evaluation and application of methods that mirror the process of neo-Darwinian evolution and produce as a result computational expressions such as algorithms or machines such as mechanical or electronic devices that actively process environmental information and transform their environment. In addition to its main topics, the journal covers related topics such as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems. None

ISSN
1389-2576
ISSN

The ISSN of Genetic Programming and Evolvable Machines is 1389-2576 . An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.

ISSN (Online)
1573-7632
ISSN (Online)

The ISSN (Online) of Genetic Programming and Evolvable Machines is 1573-7632 . An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.

Publisher
Springer New York
Publisher

Genetic Programming and Evolvable Machines is published by Springer New York .

Publication Frequency
Quarterly
Publication Frequency

Genetic Programming and Evolvable Machines publishes reports Quarterly .

Coverage
2003 - Present
Coverage

The Publication History of Genetic Programming and Evolvable Machines covers 2003 - Present .

Open Access
NO
Open Access

Publication Fees
Publication Fees

Language
English
Language

The language of Genetic Programming and Evolvable Machines is English .

Country/Region
United States
Country/Region

The publisher of Genetic Programming and Evolvable Machines is Springer New York , which locates in United States .

Total Publications
404
Total References
15274

Annual Publication Volume

Genetic Programming and Evolvable Machines

Annual References Record

Genetic Programming and Evolvable Machines

Publications References Dataset

Genetic Programming and Evolvable Machines

Year Publications References
Year Publications References
2003 17 574
2004 17 531
2005 19 599
2006 19 522
2007 21 651
2008 18 526
2009 17 772
2010 18 963
2011 21 807
2012 19 916
2013 19 717
2014 28 923
2015 20 870
2016 20 668
2017 27 831
2018 21 784
2019 23 969
2020 30 1494
2021 30 1157
Publications Cites Dataset

· The Genetic Programming and Evolvable Machines has published 17 reports and received 574 citations in 2003.
· The Genetic Programming and Evolvable Machines has published 17 reports and received 531 citations in 2004.
· The Genetic Programming and Evolvable Machines has published 19 reports and received 599 citations in 2005.
· The Genetic Programming and Evolvable Machines has published 19 reports and received 522 citations in 2006.
· The Genetic Programming and Evolvable Machines has published 21 reports and received 651 citations in 2007.
· The Genetic Programming and Evolvable Machines has published 18 reports and received 526 citations in 2008.
· The Genetic Programming and Evolvable Machines has published 17 reports and received 772 citations in 2009.
· The Genetic Programming and Evolvable Machines has published 18 reports and received 963 citations in 2010.
· The Genetic Programming and Evolvable Machines has published 21 reports and received 807 citations in 2011.
· The Genetic Programming and Evolvable Machines has published 19 reports and received 916 citations in 2012.
· The Genetic Programming and Evolvable Machines has published 19 reports and received 717 citations in 2013.
· The Genetic Programming and Evolvable Machines has published 28 reports and received 923 citations in 2014.
· The Genetic Programming and Evolvable Machines has published 20 reports and received 870 citations in 2015.
· The Genetic Programming and Evolvable Machines has published 20 reports and received 668 citations in 2016.
· The Genetic Programming and Evolvable Machines has published 27 reports and received 831 citations in 2017.
· The Genetic Programming and Evolvable Machines has published 21 reports and received 784 citations in 2018.
· The Genetic Programming and Evolvable Machines has published 23 reports and received 969 citations in 2019.
· The Genetic Programming and Evolvable Machines has published 30 reports and received 1494 citations in 2020.
· The Genetic Programming and Evolvable Machines has published 30 reports and received 1157 citations in 2021.
· The total publications of Genetic Programming and Evolvable Machines is 404.
· The total citations of Genetic Programming and Evolvable Machines is 15274.

Scientific Writng Keywords
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