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 Manavalan r. automatic identification of diseases in grains crops through computational approaches: a review. computers and electronics in agriculture. 2020 nov 1;178:105802.
image Manavalan r. automatic identification of diseases in grains crops through computational approaches: a review. computers and electronics in agriculture. 2020 nov 1;178:105802.
image Tin mm, khin mm, hlaing ss, wai pp, mon kl. leaves disease and damage rate classification based on features. in2019 ieee 8th global conference on consumer electronics (gcce) 2019 oct 15 (pp. 419-420). ieee.
image Miyatra a, bosamiya d, kamariya n. a survey on disease and nutrient deficiency detection in cotton plant. international journal on recent and innovation trends in computing and communication. 2014;1(11):812-5.
image Tejonidhi mr, nanjesh br, math jg, d'sa ag. plant disease analysis using histogram matching based on bhattacharya's distance calculation. in2016 international conference on electrical, electronics, and optimization techniques (iceeot) 2016 mar 3 (pp. 1546-1549). ieee.
image Bhattacharya s, mukherjee a, phadikar s. a deep learning approach for the classification of rice leaf diseases. inintelligence enabled research 2020 (pp. 61-69). springer, singapore.
image Nidhis ad, pardhu cn, reddy kc, deepa k. cluster based paddy leaf disease detection, classification and diagnosis in crop health monitoring unit. incomputer aided intervention and diagnostics in clinical and medical images 2019 (pp. 281-291). springer, cham.
image Jeyalakshmi s, radha r. a review on diagnosis of nutrient deficiency symptoms in plant leaf image using digital image processing. ictact journal on image & video processing. 2017 may 1;7(4).
image Aggarwal pk, grover ps, ahuja l. incorporating autonomic capability as quality attribute for a software system. in2018 7th international conference on reliability, infocom technologies and optimization (trends and future directions)(icrito) 2018 aug 29 (pp. 829-833). ieee.
image Huang w, zhang j, liang s, sun h. backbone network traffic prediction based on modified eemd and quantum neural network. wireless personal communications. 2018 apr;99(4):1569-88.
image Madhikar g, lokhande ss. brain tumor detection and classification by using modified region growing method: a review. ijert. 2013;2(12):2316-20.
image Yahya ma, yahya ma, dahanayake a. autonomic computing: a framework to identify autonomy requirements. procedia computer science. 2013 jan 1;20:235-41.
image De sousa a. towards an integrative theory of consciousness: part 2 (an anthology of various other models). mens sana monographs. 2013 jan;11(1):151.
image Pawar vj, kharat kd, pardeshi sr. enhancement in brain tumor diagnosis using mri image processing techniques. ininternational conference on advanced informatics for computing research 2018 jul 14 (pp. 658-666). springer, singapore.
image Kulkarni sb, yuvaraju bn. challenges and issues of cluster based security in manet. iosr j. comput. eng. 2016 jul;18:1-5.
image Chauhan s, sharma a, grover ps. developing self managing software systems using agile modeling. acm sigsoft software engineering notes. 2013 nov 11;38(6):1-3.
image Bl u, hsg s. brain tumor detection and identification in brain mri using supervised learning: a lda based classification method. image. 2017;1:2.
image Bl u, hsg s. brain tumor detection and identification in brain mri using supervised learning: a lda based classification method. image. 2017;1:2.
image Idrissi h, ennahbaoui m, souidi em, el hajji s, revel a. secure and flexible rbac scheme using mobile agents. inproceedings of the mediterranean conference on information & communication technologies 2015 2016 (pp. 447-455). springer, cham.
image George aj, jose dv. comparative analysis of clustering techniques for various models of node deployment strategies. oriental journal of computer science and technology. 2017 mar 20;10(1):232-7.