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 |
Citescorey = Citationsy + Citationsy-1 + Citationsy-2 + Citations y-3 / Published articlesy + Published articlesy-1 + Published articlesy-2 + Published articles y-3 |
Ugwu, K. C., & Ozioko, R. E. (2015). Development and performance test of cassava peeling and mashing machine. International Journal of Scientific and Engineering Research, 6(6), 1572-1579. |
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Egbeocha, C. C., Asoegwu, S. N., & Okereke, N. A. (2016). A review on performance of cassava peeling machines in Nigeria. Futo Journal Series (FUTOJNLS), 2(1), 140-168. |
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Balmat, J. F., Lafont, F., Ali, A. M., Pessel, N., & Fernández, J. C. R. (2019, January). Evaluation of the reference evapotranspiration for a greenhouse crop using an Adaptive-Network-Based Fuzzy Inference System (ANFIS). In Proceedings of the 3rd International Conference on Machine Learning and Soft Computing (pp. 203-205). |
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Balmat, J. F., Lafont, F., Ali, A. M., Pessel, N., & Fernández, J. C. R. (2019, January). Evaluation of the reference evapotranspiration for a greenhouse crop using an Adaptive-Network-Based Fuzzy Inference System (ANFIS). In Proceedings of the 3rd International Conference on Machine Learning and Soft Computing (pp. 203-205). |
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Dhir, B. (2013). Aquatic plant species and removal of contaminants. In Phytoremediation: Role of Aquatic Plants in Environmental Clean-Up (pp. 21-50). Springer, India. |
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Pérez-Legaspi, I. A., Ortega-Clemente, L. A., Moha-León, J. D., Ríos-Leal, E., Gutiérrez, S. C. R., & Rubio-Franchini, I. (2016). Effect of the pesticide lindane on the biomass of the microalgae Nannochloris oculata. Journal of Environmental Science and Health, Part B, 51(2), 103-106. |
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Omer, A. M. (2012). Renewable for power generation: Clean energies utilization and development. International Research Journal of Engineering Science, Technology and Innovation, 1(3), 71-93. |
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Cai, G., Huang, Y., & Huang, Y. (2017). Operating principle of vibratory stress relief device using coupled lateral-torsional resonance. Journal of Vibroengineering, 19(6), 4083-4097. |
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Ejimofor, M. I., Ezemagu, I. G., & Menkiti, M. C. (2020). Biogas production using coagulation sludge obtained from paint wastewater decontamination: Characterization and anaerobic digestion kinetics. Current Research in Green and Sustainable Chemistry, 3, 100024. |
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Ejimofor, M. I., Ezemagu, I. G., & Menkiti, M. C. (2020). Biogas production using coagulation sludge obtained from paint wastewater decontamination: Characterization and anaerobic digestion kinetics. Current Research in Green and Sustainable Chemistry, 3, 100024. |
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Jiya, A. G., Ijah, U. J., Galadima, M., & Akpan, U. G. (2019). Optimisation of biogas production through variation of PH, detention time and ratio of substrate to water for rural utilization. Journal of BioMedical Research and Clinical Practice, 2(1), 52-59. |
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Olufemi, F. E., Veronica, D., & Godwin, H. (2019). Effect of anaerobic co-digestion on microbial community and biogas production. Biosciences Biotechnology Research Asia, 16(2), 391-401. |
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Opurum, C. C., Nweke, C. O., Nwanyanwu, C. E., & Orji, J. C. (2017). Biogas production from fish pond effluent supplemented with cow blood meal in a batch anaerobic digester system. Futo Journal Series (FUTOJNLS), 3(1), 166-175. |
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Okwu, M. O., Otanocha, O. B., Balogun, P., & Tega, O. (2020). Comparative analysis and performance of load bearing characteristics of biogas and gasoline-fuelled electric generator. International Journal of Ambient Energy, 41(12), 1377-1386. |
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Okwu, M. O., Samuel, O. D., Otanocha, O. B., Balogun, P. P., Tega, O. J., & Ojo, E. (2020). Design and development of a bio-digester for production of biogas from dual waste. World Journal of Engineering. |
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Victor, R., Shajin, S., Roshni, R. M., & Asha, S. R. (2014). Augmentative invention of biogas from the agronomic wastes using facultative anaerobic bacterial strain. International Journal of Current Microbiology and Applied Sciences, 3(4), 556-564. |
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Nnabuchi, M. N., Akubuko, F. O., Augustine, C., & Ugwu, G. Z. (2012). Assessment of the effect of co-digestion of chicken dropping and cow dung on biogas generation. Global Journal of Science Frontier Research, 12(7), 21-26. |
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