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 Bashir n, bilal m, liaqat m, marjani m, malik n, ali m. modeling class diagram using nlp in object-oriented designing. in2021 national computing colleges conference (nccc) 2021 mar 27 (pp. 1-6). ieee.
image Amien mb, abd-elrehman a, ibrahim w. an intelligent-model for automatic brain-tumor diagnosis based-on mri images. international journal of computer applications. 2013 jan 1;72(23).
image Thakur as, gupta pk, gupta p. handling data integrity issue in saas cloud. inproceedings of the 3rd international conference on frontiers of intelligent computing: theory and applications (ficta) 2014 2015 (pp. 127-134). springer, cham.
image Singh v, sankhwar s, pandey d. problems associated with requirement elicitation process: an overview. international journal of advanced research in computer science. 2017 may 15;8(5):2637-9.
image Sharma r, araya pn. research article efficient mining tree in association rule mining for reducing the time complexity.
image Thakur as, gupta pk, gupta p. handling data integrity issue in saas cloud. inproceedings of the 3rd international conference on frontiers of intelligent computing: theory and applications (ficta) 2014 2015 (pp. 127-134). springer, cham.
image Anitha v, murugavalli sj. brain tumour classification using two-tier classifier with adaptive segmentation technique. iet computer vision. 2016 jan 18;10(1):9-17.
image Aggarwal k. comparison of rc6, modified rc6 & enhancement of rc6. in2015 international conference on advances in computer engineering and applications 2015 mar 19 (pp. 444-449). ieee.
image Emirzade e. a computer aided diagnosis system for lung cancer detection using svm (doctoral dissertation, near east university).
image Sable g, bodhey h. lung segmentation and tumor identification from ct scan images using svm. international journal of science and research (ijsr) issn (online). 2014:2319-7064.
image Thilagavathy a, chilambuchelvan a. retracted: an improved fuzzy based algorithm for detecting text from images using stroke width transform. circuits and systems. 2016 apr 13;7(4):360-70.
image Giannakoulias a. cloud computing security: protecting cloud-based smart city applications. journal of smart cities (transferred). 2016 nov 3;2(1).
image Adhikari s, kar j, dastidar jg. an automatic and efficient foreground object extraction scheme. arxiv preprint arxiv:1506.08704. 2015 jun 29.
image Savitha sk, naveen nc. study for assessing the advancement of imaging techniques in chest radiographic images. communications. 2017;4:22-34.
image ÅžekeroÄŸlu b, emirzade e. a computer aided diagnosis system for lung cancer detection using support vector machine. inthird international workshop on pattern recognition 2018 jul 26 (vol. 10828, p. 108280l). international society for optics and photonics.
image Rahna e, govindan vk. a novel technique for secure, lossless steganography with unlimited payload. international journal of future computer and communication. 2013 dec 1;2(6):638.
image Gopi k, selvakumar j. lung tumor area recognition and classification using ek-mean clustering and svm. in2017 international conference on nextgen electronic technologies: silicon to software (icnets2) 2017 mar 23 (pp. 97-100). ieee.
image Vijh s, gaur d, kumar s. an intelligent lung tumor diagnosis system using whale optimization algorithm and support vector machine. international journal of system assurance engineering and management. 2020 apr;11(2):374-84.
image Al-sudany sm, al-araji as, saeed bm. fpga based mips pipeline processor with simd architecture.
image Prabukumar m, agilandeeswari l, ganesan k. an intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier. journal of ambient intelligence and humanized computing. 2019 jan;10(1):267-93.