International Research Journal of Engineering Science, Technology and Innovation

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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
Year wise published articles	25	10	12	0
Year wise citations received	24	37	26	18

Journal total citations count	285
Journal impact factor	2.33
Journal 5 years impact factor	4.77
Journal cite score	3.86
Journal h-index	8
Journal h-index since 2019	7

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
Citescore_y = Citations_y + Citations_y-1 + Citations_y-2 + Citations _y-3 / Published articles_y + Published articles_y-1 + Published articles_y-2 + Published articles _y-3

Important citations (177)

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. View at Publisher View at Google Scholar
Tajane, V., & Janwe, N. J. (2014). Ayurvedic plants disease identification using CBIR. database, 2(6). View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
Ullagaddi, S. B., & Raju, V. (2014). International journal of graphics and multimedia (IJGM). Journal Impact Factor, 5(1), 36-45. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
Vyas, A. M., Talati, B., & Naik, S. (2013). Colour feature extraction techniques of fruits: a survey. International Journal of Computer Applications, 83(15). View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
Gad, M. S. (2015). Comparative study of performance and emission characteristics of a diesel engine fueled by castor biodiesel. fuel, 1, 2. View at Publisher View at Google Scholar
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). View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
Arteaga, M. V. V. (2015). Contribucion dosimétrica de órganos de la Biocinética del Tc99m y I123 para estimar dosis en tiroides de niños de 1y 5 años. Brazilian Journal of Radiation Sciences, 3(2). View at Publisher View at Google Scholar
Vásquez, A. M., Rocha, J. J., Castillo, D. C., Gómez, 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 RADIACIÓN PARA TIROIDES DE ADULTOS Y NIÑOS CUANDO SE USA I 131 (YODURO). View at Publisher View at Google Scholar
Murillo Caballero, V. F. S. (2015). Evaluación de la dosis absorbida en tiroides-neonato, debido a los Yoduros-123, 125, 131 y Pertecnetato-Tc99m. View at Publisher View at Google Scholar
Culik, L. A., Baptista, I. D. S., & Schwarcke, M. M. Automatização do Procedimento de Seleção da Glândula da Tireoide para Exames de Captação. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
Vásquez, M. V., Castillo, C. E., Sánchez, P. W., Cabrera, C. A., Díaz, 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. View at Publisher View at Google Scholar
Vásquez, 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. View at Publisher View at Google Scholar
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International Research Journal of Engineering Science, Technology and Innovation

Important citations (177)

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.

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 dosimétrica de órganos de la Biocinética del Tc99m y I123 para estimar dosis en tiroides de niños de 1y 5 años. Brazilian Journal of Radiation Sciences, 3(2).

Vásquez, A. M., Rocha, J. J., Castillo, D. C., Gómez, 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 RADIACIÓN PARA TIROIDES DE ADULTOS Y NIÑOS CUANDO SE USA I 131 (YODURO).

Murillo Caballero, V. F. S. (2015). Evaluación 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. Automatização do Procedimento de Seleção da Glândula da Tireoide para Exames de Captação.

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.

Vásquez, M. V., Castillo, C. E., Sánchez, P. W., Cabrera, C. A., Díaz, 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.

Vásquez, 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.