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International Research Journal of Engineering Science, Technology and Innovation

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
International Research Journal of Engineering Science, Technology and Innovation : Citations & Metrics Report

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

Following are the list of articles that have cited the articles published in International Research Journal of Engineering Science, Technology and Innovation.

  2021 2020 2019 2018 2017

Year wise published articles

25 10 12 0 0

Year wise citations received

24 37 26 18 33
Journal total citations count 285
Journal Impact Factor 2.33
Journal 5 years Impact Factor 4.77
Journal CiteScore 3.86
Journal h-index 8
Journal h-index since 2016 7
Important citations
Prakash, N., Udayakumar, E., & Kumareshan, N. (2020, July). Design and development of Android based Plant disease detection using Arduino. In 2020 7th International Conference on Smart Structures and Systems (ICSSS) (pp. 1-6). IEEE.
Tajane, V., & Janwe, N. J. (2014). Ayurvedic plants disease identification using CBIR. database, 2(6).
Pardede, J., Husada, M. G., Hermana, A. N., & Rumapea, S. A. (2019, November). Fruit Ripeness Based on RGB, HSV, HSL, L* a* b* Color Feature Using SVM. In 2019 International Conference of Computer Science and Information Technology (ICoSNIKOM) (pp. 1-5). IEEE.
Ullagaddi, S. B., & Raju, V. (2014). International journal of graphics and multimedia (IJGM). Journal Impact Factor, 5(1), 36-45.
Ali, M. M., Hashim, N., Abd Aziz, S., & Lasekan, O. (2020). Emerging non-destructive thermal imaging technique coupled with chemometrics on quality and safety inspection in food and agriculture. Trends in Food Science & Technology.
Mattihalli, C., Gedefaye, E., Endalamaw, F., & Necho, A. (2018, May). Real time automation of agriculture land, by automatically detecting plant leaf diseases and auto medicine. In 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) (pp. 325-330). IEEE.
Singh, K., Kumar, S., & Kaur, P. (2019). Support vector machine classifier based detection of fungal rust disease in Pea Plant (Pisam sativam). International Journal of Information Technology, 11(3), 485-492.
Vyas, A. M., Talati, B., & Naik, S. (2013). Colour feature extraction techniques of fruits: a survey. International Journal of Computer Applications, 83(15).
Ali, M. M., Bachik, N. A., Muhadi, N. A., Yusof, T. N. T., & Gomes, C. (2019). Non-destructive techniques of detecting plant diseases: A review. Physiological and Molecular Plant Pathology, 108, 101426.
Gad, M. S. (2015). Comparative study of performance and emission characteristics of a diesel engine fueled by castor biodiesel. fuel, 1, 2.
Nada, S., Attia, A. M., & Gad, M. S. (2018). Effect of Castor Biodiesel on Diesel Engine Performance, Emissions, and Combustion Characteristics. Jordan Journal of Mechanical & Industrial Engineering, 12(4).
Abiodun, O. A. (2017). The role of oilseed crops in human diet and industrial use. Oilseed crops: yield and adaptations under environmental stress, 249-263.
Musa, N. A., Teran, G. M., & Yaman, S. A. (2016). Characterization of coconut oil and its biodiesel. Journal of Scientific Research and Reports, 1-6.
Arteaga, M. V. V. (2015). Contribucion dosimtrica de rganos de la Biocintica del Tc99m y I123 para estimar dosis en tiroides de nios de 1y 5 aos. Brazilian Journal of Radiation Sciences, 3(2).
Vsquez, A. M., Rocha, J. J., Castillo, D. C., Gmez, M. A., Mendoza, A. A., Rabanal, M. J., & Cruz, S. J. EVALUACION DE LAS DOSIMETRIAS MIRD Y DE MARINELLI EN EL ESTIMADO DE DOSIS DE RADIACIN PARA TIROIDES DE ADULTOS Y NIOS CUANDO SE USA I 131 (YODURO).
Murillo Caballero, V. F. S. (2015). Evaluacin de la dosis absorbida en tiroides-neonato, debido a los Yoduros-123, 125, 131 y Pertecnetato-Tc99m.
Culik, L. A., Baptista, I. D. S., & Schwarcke, M. M. Automatizao do Procedimento de Seleo da Glndula da Tireoide para Exames de Captao.
Vasquez, M., Castillo, C., Cabrera, C., Sarachaga, R., Castaneda, J., & Diaz, E. (2014). Dose absorbed in adults and children thyroid due to the I 123 using the dosimetry MIRD and Marinelli.
Vsquez, M. V., Castillo, C. E., Snchez, P. W., Cabrera, C. A., Daz, E., Rocha, J. A., ... & Flores, H. F. Absorbed dose to the thyroid of adults and children due to I 123, using MIRD dosimetry and MARINELLI.
Vsquez, M. V., Castillo, C. E., Diaz, E., Rojas, G. R., Idrogo, J., Rojas, E., ... & Mosqueira, G. Evaluation of the absorbed dose to the thyroid of a newborn due to I 123/I 131 and Tc 99m. Thyroid, 1, 29.

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