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Dr. Neeta Kumari

Contact Us

Email - neetak@bitmesra.ac.in
Phone - 9470928986

Journal Publication

Publication in International Journals

  • Avishek, K., Pathak, G., Nathawat, M.S., Jha, U., Kumari, N.(2010). “Water quality assessment of Majhiaon block of Garwa district in Jharkhand with special focus on fluoride analysis” Environmental monitoring assessment, 167(1-4), 617-23. (SCI indexed)
  • Kumari, N and Pathak,G.(2014). “A review of groundwater quality issue in Jharkhand due to fluoride.”, Journal of Engineering Research and Applications, ISSN:2248-9622, 4(3-2), 65-77. 
  • Kumari, N., Pathak, G., and Singh, T.B.N.(2015). “The overall assessment of quality and quantity of drinking water with focus on fluoride in the areas of extreme western parts of Jharkhand.” , International Journal of Environmental Sciences, ISSN 0976-4402, 5(4), 815-829.
  • Singhal, A. Kumar,M.,Bhattacharya,M., Kumari, N., Jha, P.K., Chauhan, D.K., Thakur, I.S. (2018). "Pretreatment of Leucaena leucocephala wood by acidified glycerol : optimization, severity index, and correlation analysis", Bioresource Technology, 265, pp 214-223. (SCI indexed)
  • Kumari,N., Garg, S., Singhal, A., Kumar, M., Bhattacharya, M., Jha, P.K., Chauhan, D.K., Thakur, I.S. (2019).Comparing different algorithms of Artificial neural network for optimizing chemical pretreatment process of Leucaena leucocephala wood.Bioresource Technology Reports, vol 7, pp 100289-297. (SCOPUS indexed)
  • Pandey, S., Kumari, N. and Prasad, S.P. 2021. Soil quality and pollution assessment around Jumar watershed of Jharkhand, India. Arabian Journal of Geosciences, 14(24), pp.1-20. (SCI indexed)
  • Pandey, S., Kumari, N. and Nawajish, Shal AL. 2022. Land Use Land Cover (LULC) and Surface water quality assessment in and around selected dams of Jharkhand using Water quality Index (WQI) and Geographic information system (GIS) (Accepted for publication in journal of the geological society of india)  (SCI indexed)
  • Singhal, A., Kumari, N., Ghosh, P., Singh, Y., Garg, S., Shah, M.P., Jha, P.K. and Chauhan, D.K., 2022. Optimizing cellulase production from Aspergillus flavus using response surface methodology and machine learning models. Environmental Technology & Innovation, p.102805. (SCI indexed)
  • Pandey, S. and Kumari, N., 2023. Prediction and monitoring of LULC shift using cellular automata-artificial neural network in Jumar watershed of Ranchi District, Jharkhand. Environmental Monitoring and Assessment, 195(1), pp.1-24. (SCI indexed)