+44 1300 500008Journal 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.
| 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total published articles |
50 | 56 | 32 | 58 | 13 | 13 | 26 | 24 | 29 | 26 | 14 | 26 | 23 | 8 |
Research, Review articles and Editorials |
50 | 5 | 6 | 31 | 7 | 6 | 22 | 22 | 25 | 25 | 11 | 25 | 22 | 8 |
Research communications, Review communications, Editorial communications, Case reports and Commentary |
0 | 51 | 26 | 27 | 6 | 7 | 4 | 2 | 4 | 1 | 3 | 1 | 1 | 0 |
Conference proceedings |
0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 58 | 62 | 0 | 0 | 0 | 0 |
Citations received as per Google Scholar, other indexing platforms and portals |
114 | 184 | 58 | 47 | 50 | 34 | 21 | 89 | 70 | 51 | 38 | 18 | 4 | 0 |
| Journal total citations count | 1526 |
| 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 2019 | 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. |
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Ritu op. software quality estimation using soft computing techniques.2017;6(5). |
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Alneamy js, abdulazeezdabdoob mm. proposed binding between genetic algorithm and grey wolf optimizer to estimate the parameters of software reliability growth models. |
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Kumaresan k, ganeshkumar p. software reliability modeling using increased failure interval with ann. cluster computing.2019 ;22(2):3095-102. |
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Rastogi n, rastogi s, darbari m. fault data detection in software using a novel fgrnn algorithm.2019;10(1):236-252 |
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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. |
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Markov a, markov g, tsirlov v. simulation of software security tests by soft computational methods. invith international workshop «critical infrastructures: contingency management, intelligent, agent-based, cloud computing and cyber security»(iwci 2019) 2019 sep. |
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Al-saati na, alabajee ma. selecting best software reliability growth models: a social spider algorithm based approach. int j comp app.975:8887. |
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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. |
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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). |
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Markov a, barabanov a, tsirlov v, andrey k. models for testing modifiable systems. inprobabilistic modeling in system engineering 2018 ;147-168. |
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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. |
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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. |
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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. |
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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. |
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Aji mp, oktaviani k. database forensik msgstore db cryot12 pada aplikasi whatsapp. j media pratama.2018;12(1). |
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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. |
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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. |
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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. |
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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. |
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