Journal of Global Research in Computer Sciences

Journal of Global Research in Computer Sciences

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ISSN: 2229-371X

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Journal of Global Research in Computer Sciences : Citations & Metrics Report

Articles published in Journal of Global Research in Computer Sciences have been cited by esteemed scholars and scientists all around the world. Journal of Global Research in Computer Sciences has got h-index 30, which means every article in Journal of Global Research in Computer Sciences has got 30 average citations.

Following are the list of articles that have cited the articles published in Journal of Global Research in Computer Sciences .

  2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011

Total published articles

 32 41 28 16 17 20 20 8 4 20 47 132 167 182

Research, Review articles and Editorials

 5 11 11 13 0 0 0 0 4 12 47 129 156 182

Research communications, Review communications, Editorial communications, Case reports and Commentary

21 26 18 3 17 20 20 8 0 8 0 0 0 0

Conference proceedings

 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Citations received as per Google Scholar, other indexing platforms and portals

 202 297 357 355 362 378 415 432 431 353 276 174 112 52
Journal total citations count 3761
Journal impact factor 14.81
Journal 5 years impact factor 17.33
Journal cite score 16.70
Journal h-index 30
Journal h-index since 2019 19
Journal Impact Factor 2020 formula
IF= Citations(y)/{Publications(y-1)+ Publications(y-2)} Y= Year
Journal 5-year Impact Factor 2020 formula
Citations(2018 + 2019 + 2020 + 2021 + 2022)/
{Published articles(2018 + 2019 + 2020 + 2021 + 2022)}
Journal citescore
Citescorey = Citationsy + Citationsy-1 + Citationsy-2 + Citations y-3 / Published articlesy + Published articlesy-1 + Published articlesy-2 + Published articles y-3
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Important citations (766)
image Sheoran k, sangwan op. an insight of software quality models applied in predicting software quality attributes: a comparative analysis. in2015 4th international conference on reliability, infocom technologies and optimization (icrito)(trends and future directions) 2015 sep 2 (pp. 1-5). ieee.
image Kalita hk, kar a. key management and security planning in wireless ad-hoc networks.
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image Alfaqih tm, al-dhelaan am, hassan mm. wireless sensor network simulation environment. international journal of computer applications. 2015 jan 1;118(17).
image Kalita hk, kar a. key management in secure self organized wireless sensor network: a new approach. inproceedings of the international conference & workshop on emerging trends in technology 2011 feb 25 (pp. 865-870).
image Goyal n, kakkar s, rani s. design and implementation of mosfet model equations on matlab simulink library. international journal of computer applications.;975:8887.
image Rashid mm, gondal i, kamruzzaman j. acsp-tree: a tree structure for mining behavioral patterns from wireless sensor networks. in38th annual ieee conference on local computer networks 2013 oct 21 (pp. 691-694). ieee.
image Tran t, kuhnert m, wietfeld c. performance evaluation of feasible and holistic csh-mu handoff solution for seamless emergency service provisioning. in2012 ieee symposium on computers and communications (iscc) 2012 jul 1 (pp. 000317-000324). ieee.
image Tran t, kuhnert m, wietfeld c. energy-efficient handoff decision algorithms for csh-mu mobility solution. in2012 21st international conference on computer communications and networks (icccn) 2012 jul 30 (pp. 1-6). ieee.
image Singh r, mishra a, tyagi a, ojha db. error free e-messaging technique using symmetric key encryption-ehdes.
image Sreedevi s, mathew tj. a modified approach for the removal of impulse noise from mammogram images. ininternational symposium on signal processing and intelligent recognition systems 2019 dec 18 (pp. 291-305). springer, singapore.
image Bania rk, halder a. adaptive trimmed median filter for impulse noise detection and removal with an application to mammogram images. international journal of image and graphics. 2020 oct 16;20(04):2050032.
image Sreedevi s, sherly e. a new and efficient approach for the removal of high density impulse noise in mammogram. international journal of computer aided engineering and technology. 2020;12(3):370-91.
image Sreedevi s, sherly e. a new and efficient approach for the removal of high density impulse noise in mammogram. international journal of computer aided engineering and technology. 2020;12(3):370-91.
image Sharma s, jangra s. international journal of advanced research in computer science and software engineering. international journal. 2015 may;5(5).
image Jain a, singh s, bhateja v. a robust approach for denoising and enhancement of mammographic images contaminated with high density impulse noise. international journal of convergence computing. 2013 jan 1;1(1):38-49.
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image Kanak a, ergün s. a practical biometric random number generator for mobile security applications. ieice transactions on fundamentals of electronics, communications and computer sciences. 2017 jan 1;100(1):158-66.
image Alaslni g, elrefaei la. transfer learning with convolutional neural networks for iris recognition. int. j. artif. intell. appl. 2019;10(5):47-64.