+44 330 818 7254Articles published in International Research Journal of Engineering Science, Technology and Innovation have been cited by esteemed scholars and scientists all around the world.
| 2021 | 2020 | 2019 | 2018 | |
|---|---|---|---|---|
Total published articles |
25 | 10 | 12 | 0 |
Conference proceedings |
0 | 0 | 0 | 0 |
Citations received as per Google Scholar, other indexing platforms and portals |
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 |
| Citescorey = Citationsy + Citationsy-1 + Citationsy-2 + Citations y-3 / Published articlesy + Published articlesy-1 + Published articlesy-2 + Published articles y-3 |
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. |
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Tajane, V., & Janwe, N. J. (2014). Ayurvedic plants disease identification using CBIR. database, 2(6). |
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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. |
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Ullagaddi, S. B., & Raju, V. (2014). International journal of graphics and multimedia (IJGM). Journal Impact Factor, 5(1), 36-45. |
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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. |
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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. |
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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. |
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Vyas, A. M., Talati, B., & Naik, S. (2013). Colour feature extraction techniques of fruits: a survey. International Journal of Computer Applications, 83(15). |
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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. |
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Gad, M. S. (2015). Comparative study of performance and emission characteristics of a diesel engine fueled by castor biodiesel. fuel, 1, 2. |
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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). |
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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. |
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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. |
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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). |
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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). |
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Murillo Caballero, V. F. S. (2015). Evaluación de la dosis absorbida en tiroides-neonato, debido a los Yoduros-123, 125, 131 y Pertecnetato-Tc99m. |
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Culik, L. A., Baptista, I. D. S., & Schwarcke, M. M. Automatização do Procedimento de Seleção da Glândula da Tireoide para Exames de Captação. |
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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. |
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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. |
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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. |
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