Citations Report - Journal of Information Technology and Software

Journal of Information Technology & Software Engineering : Citations & Metrics Report

Articles published in Journal of Information Technology & Software Engineering have been cited by esteemed scholars and scientists all around the world. Journal of Information Technology & Software Engineering has got h-index 8, which means every article in Journal of Information Technology & Software Engineering has got 8 average citations.

Following are the list of articles that have cited the articles published in Journal of Information Technology & Software Engineering.

	2022	2021	2020	2019	2018
Year wise published articles	32	58	13	13	26
Year wise citations received	58	47	50	34	21

Journal total citations count	250
Journal impact factor	1.16
Journal 5 years impact factor	1.47
Journal cite score	1.29
Journal h-index	8
Journal h-index since 2018	8

Important citations (347)

Punitha k, latha b. validation of medical imaging software using metaheuristic knowledge discovery.j med imagi health info.2016;6(8):1966-71. View at Publisher View at Google Scholar
Ritu op. software quality estimation using soft computing techniques.2017;6(5). View at Publisher View at Google Scholar
Alneamy js, abdulazeezdabdoob mm. proposed binding between genetic algorithm and grey wolf optimizer to estimate the parameters of software reliability growth models. View at Publisher View at Google Scholar
Kumaresan k, ganeshkumar p. software reliability modeling using increased failure interval with ann. cluster computing.2019 ;22(2):3095-102. View at Publisher View at Google Scholar
Rastogi n, rastogi s, darbari m. fault data detection in software using a novel fgrnn algorithm.2019;10(1):236-252 View at Publisher View at Google Scholar
Romankevich a, maidaniuk i, feseniuk a, romankevich v. complexity estimation of gl-models for calculation ftms reliability. ininternational conference on computer science, engineering and education applications. 2019;369-377. View at Publisher View at Google Scholar
Markov a, markov g, tsirlov v. simulation of software security tests by soft computational methods. invith international workshop Â«critical infrastructures: contingency management, intelligent, agent-based, cloud computing and cyber securityÂ»(iwci 2019) 2019 sep. View at Publisher View at Google Scholar
Al-saati na, alabajee ma. selecting best software reliability growth models: a social spider algorithm based approach. int j comp app.975:8887. View at Publisher View at Google Scholar
Goyal u, jaiswal a. analysing software reliability modelling aspects using soft computing methodology. in2016 international conference on computing, communication and automation (iccca) 2016;358-363. View at Publisher View at Google Scholar
Jayaraj v, raman ns. an hybrid multilayer perception using gso-ga for software defect prediction. int jadv res in sci eng (ijarse).2016;5(2). View at Publisher View at Google Scholar
Markov a, barabanov a, tsirlov v, andrey k. models for testing modifiable systems. inprobabilistic modeling in system engineering 2018 ;147-168. View at Publisher View at Google Scholar
Romankevich a, feseniuk a, maidaniuk i, romankevich v. fault-tolerant multiprocessor systems reliability estimation using statistical experiments with gl-models. ininternational conference on computer science, engineering and education applications. 2018;186-193. View at Publisher View at Google Scholar
Maevsky d, kharchenko v, kolisnyk m, maevskaya e. software reliability models and assessment techniques review: classification issues. in2017 9th ieee international conference on intelligent data acquisition and advanced computing systems: technology and applications (idaacs) 2017; 894-899. View at Publisher View at Google Scholar
Alneamy js, dabdoob mm. the use of original and hybrid grey wolf optimizer in estimating the parameters of software reliability growth models. int j comp app.2017;167(3):12-21. View at Publisher View at Google Scholar
Bhatia mp, kumar a, beniwal r. ontology based framework for detecting ambiguities in software requirements specification. in2016 3rd international conference on computing for sustainable global development (indiacom) 2016;3572-3575. View at Publisher View at Google Scholar
Aji mp, oktaviani k. database forensik msgstore db cryot12 pada aplikasi whatsapp. j media pratama.2018;12(1). View at Publisher View at Google Scholar
Tabuyo-benito r, bahsi h, peris-lopez p. forensics analysis of an on-line game over steam platform. ininternational conference on digital forensics and cyber crime.2018;06-127. View at Publisher View at Google Scholar
Orr da, castro a. whatsapp messenger on the android platform: a forensic examination of a physical device. forensic sci methods tech. 2018;1:04-19. View at Publisher View at Google Scholar
Alissa k, almubairik na, alsaleem l, alotaibi d, aldakheel m, alqhtani s, saqib n, brahimi s, alshahrani m. a comparative study of whatsapp forensics tools. sn applied sciences.2019;1(11):1320. View at Publisher View at Google Scholar
Malekhosseini r, hosseinzadeh m, navi k. evaluation of users' privacy concerns by checking of their whatsapp status. software: practice and experience.2018;48(5):1143-64. View at Publisher View at Google Scholar
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Journal of Information Technology & Software EngineeringOpen Access

Journal of Information Technology & Software Engineering : Citations & Metrics Report

Important citations (347)

Punitha k, latha b. validation of medical imaging software using metaheuristic knowledge discovery.j med imagi health info.2016;6(8):1966-71.

Ritu op. software quality estimation using soft computing techniques.2017;6(5).

Alneamy js, abdulazeezdabdoob mm. proposed binding between genetic algorithm and grey wolf optimizer to estimate the parameters of software reliability growth models.

Kumaresan k, ganeshkumar p. software reliability modeling using increased failure interval with ann. cluster computing.2019 ;22(2):3095-102.

Rastogi n, rastogi s, darbari m. fault data detection in software using a novel fgrnn algorithm.2019;10(1):236-252

Romankevich a, maidaniuk i, feseniuk a, romankevich v. complexity estimation of gl-models for calculation ftms reliability. ininternational conference on computer science, engineering and education applications. 2019;369-377.

Markov a, markov g, tsirlov v. simulation of software security tests by soft computational methods. invith international workshop Â«critical infrastructures: contingency management, intelligent, agent-based, cloud computing and cyber securityÂ»(iwci 2019) 2019 sep.

Al-saati na, alabajee ma. selecting best software reliability growth models: a social spider algorithm based approach. int j comp app.975:8887.

Goyal u, jaiswal a. analysing software reliability modelling aspects using soft computing methodology. in2016 international conference on computing, communication and automation (iccca) 2016;358-363.

Jayaraj v, raman ns. an hybrid multilayer perception using gso-ga for software defect prediction. int jadv res in sci eng (ijarse).2016;5(2).

Markov a, barabanov a, tsirlov v, andrey k. models for testing modifiable systems. inprobabilistic modeling in system engineering 2018 ;147-168.

Romankevich a, feseniuk a, maidaniuk i, romankevich v. fault-tolerant multiprocessor systems reliability estimation using statistical experiments with gl-models. ininternational conference on computer science, engineering and education applications. 2018;186-193.

Maevsky d, kharchenko v, kolisnyk m, maevskaya e. software reliability models and assessment techniques review: classification issues. in2017 9th ieee international conference on intelligent data acquisition and advanced computing systems: technology and applications (idaacs) 2017; 894-899.

Alneamy js, dabdoob mm. the use of original and hybrid grey wolf optimizer in estimating the parameters of software reliability growth models. int j comp app.2017;167(3):12-21.

Bhatia mp, kumar a, beniwal r. ontology based framework for detecting ambiguities in software requirements specification. in2016 3rd international conference on computing for sustainable global development (indiacom) 2016;3572-3575.

Aji mp, oktaviani k. database forensik msgstore db cryot12 pada aplikasi whatsapp. j media pratama.2018;12(1).

Tabuyo-benito r, bahsi h, peris-lopez p. forensics analysis of an on-line game over steam platform. ininternational conference on digital forensics and cyber crime.2018;06-127.

Orr da, castro a. whatsapp messenger on the android platform: a forensic examination of a physical device. forensic sci methods tech. 2018;1:04-19.

Alissa k, almubairik na, alsaleem l, alotaibi d, aldakheel m, alqhtani s, saqib n, brahimi s, alshahrani m. a comparative study of whatsapp forensics tools. sn applied sciences.2019;1(11):1320.

Malekhosseini r, hosseinzadeh m, navi k. evaluation of users' privacy concerns by checking of their whatsapp status. software: practice and experience.2018;48(5):1143-64.

Journal of Information Technology & Software Engineering
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