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 |
27 | 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 |
Gomathymeenakshi m, sruti s, karthikeyan b, nayana m. an efficient arithmetic coding data compression with steganography. in2013 ieee international conference on emerging trends in computing, communication and nanotechnology (iceccn) 2013 mar 25 (pp. 342-345). ieee. |
|
|
Karthikeyan b, ramakrishnan s, vaithiyanathan v, sruti s, gomathymeenakshi m. an improved steganographic technique using lsb replacement on a scanned path image. international journal of network security. 2014 jan 1;16(1):14-8. |
|
|
Liu n, sheng y. a strong robust wavelet-based watermarking technology for copyright protection. in2012 24th chinese control and decision conference (ccdc) 2012 may 23 (pp. 923-928). ieee. |
|
|
Vellingiri j, kaliraj s, satheeshkumar s, parthiban t. investigation on user web navigation using enhanced active ontology cluster and subjective association rules. international information institute (tokyo). information. 2014 aug 1;17(8):3769. |
|
|
Joshi c, singh uk. a novel approach towards integration of semantic web mining with link analysis to improve the effectiveness of the personalized web. international journal of computer applications. 2015 oct;975:8887. |
|
|
Zawar mm, barakare a. a better approach for mining high utility itemset from transactional databases. |
|
|
Manjunath p, naidu k. apriori algorithm and decision tree classification methods to mine educational data for evaluating graduate admissions to us universities. incybernetics, cognition and machine learning applications 2020 (pp. 103-115). springer, singapore. |
|
|
Bidhan s, garg k. improving efficiency of meta algorithm using record reduction. international journal of computers & technology. 2013 jun 15;8(1):712-20. |
|
|
Bakar wa, saman my, abdullah z, herawan t. mining dense data: association rule discovery on benchmark case study. jurnal teknologi. 2016;78(2-2). |
|
|
Devi p, bansal kl. performance comparison of association rule mining algorithms on different datasets using tanagra tool. |
|
|
Jardosh mp, ganatra a. a comprehensive survey: association rule mining from xml. international journal of innovative and emerging research in engineering. 2015;2(4):103-6. |
|
|
Muliono r, khairina n, harahap mk. analysis of frequent itemsets mining algorithm againts models of different datasets. injournal of physics: conference series 2019 nov 1 (vol. 1361, no. 1, p. 012036). iop publishing. |
|
|
Anggrainingsih r, khoirudin nr, setiadi h. discovering drugs combination pattern using fp-growth algorithm. in2017 4th international conference on electrical engineering, computer science and informatics (eecsi) 2017 sep 19 (pp. 1-4). ieee. |
|
|
Wankhede ss, armstrong lj, gandhi n. characterising the influence of drought on jowar crop production in india using association rule mining. in2017 ieee technological innovations in ict for agriculture and rural development (tiar) 2017 apr 7 (pp. 57-63). ieee. |
|
|
Aggarwal s, rani b. optimization of association rule mining process using apriori and ant colony optimization algorithm. international journal of current engineering and technology. 2013;3(2):623. |
|
|
Mittal k, aggarwal g, mahajan p. a comparative study of association rule mining techniques and predictive mining approaches for association classification. international journal of advanced research in computer science. 2017 nov 1;8(9). |
|
|
Mulay p, mulatu s. what you eat matters road safety: a data mining approach. indian journal of science and technology. 2016 apr;9(15):1-8. |
|
|
Fernández-arteaga v, tovilla-zárate ca, fresán a, gonzález-castro tb, juárez-rojop ie, lópez-narváez l, hernández-díaz y. association between completed suicide and environmental temperature in a mexican population, using the knowledge discovery in database approach. computer methods and programs in biomedicine. 2016 oct 1;135:219-24. |
|
|
|
|
|
Ravikumar m, boraik oa. low pass filter-based enhancement of arabic handwritten document images. ininternational conference on information and communication technology for intelligent systems 2020 may 15 (pp. 271-277). springer, singapore. |
|
Menu
Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi