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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
Citescorey = Citationsy + Citationsy-1 + Citationsy-2 + Citations y-3 / Published articlesy + Published articlesy-1 + Published articlesy-2 + Published articles y-3
Important citations (766)
Shukla d, verma k, gangele s. least square based curve fitting in internet access traffic sharing in two operator environment. international journal of computer applications. 2012 apr;975:8887.
Shukla d, gangele s, verma k, trivedi m. two-call based cyber crime elasticity analysis of internet traffic sharing in computer network. international journal of computer application (ijca) vol. 2011;2:27-38.
Shukla d, verma k, dubey j, gangele s. cyber crime based curve fitting analysis in internet traffic sharing in computer network. international journal of computer applications. 2012 may;975:8887.
Shukla d, verma k, gangele s. iso-failure in web browsing using markov chain model and curve fitting analysis. international journal of modern engineering research (ijmer). 2012;2(02):512-7.
Shukla d, verma k, gangele s. re-attempt connectivety to internet analysis of user by markov chain model. chief patron chief patron. 2011.
Shukla d, verma k, gangele s. least square curve fitting applications under rest state environment in internet traffic sharing in computer network. international journal of computer science and telecommunications (ijcst). 2012;3(05):43-51.
Kala k, dwivedi a, pant j, pandey s, kandpal v, pant rp. a novice encryption technique using substitution clock and time in it (sct). in2018 5th international conference on signal processing and integrated networks (spin) 2018 feb 22 (pp. 749-753). ieee.
Dwivedi a, pant r, pandey s, pande m, mittal ak. ‘benefits, of using big data sentiment analysis and soft computing techniques in egovernance. int. j. recent technol. eng. 2019;8(3):3038-44.
Dwivedi a, pant rp, pant d, pande m, pandey s. data encryption using sct and access control using trbac in cloud computing for big data. international journal of advanced networking and applications. 2019 may 1;10(6):4094-8.
Dwivedi a, pant rp. an algorithmic implementation of entropic ternary reduct soft sentiment set (etrsss) using soft computing technique on big data sentiment analysis (bdsa) for optimal selection of a decision based on real-time update in online reviews. journal of king saud university-computer and information sciences. 2019 oct 16.
Dwivedi a, pant rp. an algorithmic implementation of entropic ternary reduct soft sentiment set (etrsss) using soft computing technique on big data sentiment analysis (bdsa) for optimal selection of a decision based on real-time update in online reviews. journal of king saud university-computer and information sciences. 2019 oct 16.
Dwivedi a, pant rp, pandey s, kumar k. internet of things'(iot's) impact on decision oriented applications of big data sentiment analysis. in2018 3rd international conference on internet of things: smart innovation and usages (iot-siu) 2018 feb 23 (pp. 1-10). ieee.
Derbel i, jilani ll, mili a. acme+: an adl for quantitative analysis of quality attributes. ininternational conference on evaluation of novel approaches to software engineering 2013 jul 4 (pp. 16-32). springer, berlin, heidelberg.
Farokh a, babamir sm. a method for assessing maintainability of software architectural styles in self-healing systems by measuring coupling and cohesion. journal of computing and security. 2015 jan 1;2(1):31-42.
Derbel i, jilani ll, mili a. architecture level prediction of software quality attributes. inenase 2013 nov 11 (pp. 15-24).
Stefanova-stoyanova v, stoyanov k, danov p. comparison of architectural models of iot systems-advantages and disadvantages. in2021 xxx international scientific conference electronics (et) 2021 sep 15 (pp. 1-5). ieee.
Yadgarova yv, taratoukhine vv. general approach for selection software architecture pattern based on system quality attributes. st. petersburg state polytechnical university journal. computer science. telecommunications and control systems. 2019; 12 (2): 28.
Ouhbi s. software architecture evaluation: a systematic mapping study. inenase 2018 mar 23 (pp. 447-454).
Chandrasekar a, rajesh s, rajesh p. a research study on software quality attributes. international journal of scientific and research publications. 2014 jan;4(1):14-9.