Publications having NAAS rating 6 and above with first or corresponding author only

1. Kushwaha, N. L.*, Rajput, J., Suna, T., Sena, D.R., Singh, D.K., Mishra, A.K., Sharma, P.K., Mani, I., 2023. Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection. Ecological Informatics 75, 102122. https://doi.org/10.1016/j.ecoinf.2023.102122 (NAAS Rating: 10.49)
2. Kushwaha, N.L., Sushanth, K., Patel, A., Kisi, O., Ahmed, A., Abd-Elaty, I., 2024. Beach nourishment for coastal aquifers impacted by climate change and population growth using machine learning approaches. Journal of Environmental Management 370, 122535. https://doi.org/10.1016/j.jenvman.2024.122535
3. Kushwaha,N. L., Rajput, J., Sena, D.R., Elbeltagi, A., Singh, D.K., Mani, I., 2022. Evaluation of Data-driven Hybrid Machine Learning Algorithms for Modelling Daily Reference Evapotranspiration. Atmosphere-Ocean 62, 1�22. https://doi.org/10.1080/07055900.2022.2087589 (NAAS Rating: 7.82)
4. Kushwaha,N. L., Rajput, J., Elbeltagi, A., Elnaggar, A.Y., Sena, D.R., Vishwakarma, D.K., Mani, I., Hussein, E.E., (2021) Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India. Atmosphere 12:1654. https://doi.org/10.3390/atmos12121654 (NAAS Rating: 8.26)https://doi.org/10.1016/j.scitotenv.2022.155656 (NAAS: 15.80)
5. Kushwaha, N.L., Sahoo, M., Biwalkar, N., 2025. Machine Learning Approaches for Assessing Groundwater Quality and Its Implications for Water Conservation in the Sub-tropical Capital Region of India. Water Conserv Sci Eng 10, 25. https://doi.org/10.1007/s41101-025-00348-
6. Elbeltagi, A., Kushwaha, N.L*., Rajput, J., Vishwakarma, D.K. et. al. (2022) Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions. Stoch Environ Res Risk Assess. https://doi.org/10.1007/s00477-022-02196-0 (NAAS Rating: 9.45)
7. Abd-Elaty, I., Kushwaha, N.L., Patel, A., 2023. Novel Hybrid Machine Learning Algorithms for Lakes Evaporation and Power Production using Floating Semitransparent Polymer Solar Cells. Water Resour. Manag. https://doi.org/10.1007/s11269-023-03565-2 (NAAS Rating: 10.30)
8. Vishwakarma, D.K., Pandey, K., Kaur, A., Kushwaha, N.L., Kumar, R., Ali, R., Elbeltagi, A., Kuriqi, A., 2022. Methods to estimate evapotranspiration in humid and subtropical climate conditions. Agricultural Water Management 261:107378. https://doi.org/10.1016/j.agwat.2021.107378 (NAAS Rating: 10.45)
9. Pande, C.B., Kushwaha, N.L., Orimoloye, I.R., Kumar, R., Abdo, H.G., Tolche, A.D., Elbeltagi, A., 2023. Comparative Assessment of Improved SVM Method under Different Kernel Functions for Predicting Multi-scale Drought Index. Water Resour Manage 37, 1367–1399. https://doi.org/10.1007/s11269-023-03440-0 (NAAS Rating: 10.30)
10. Patel, A., Kethavath, A., Kushwaha, N.L., Naorem, A., Jagadale, M., K.r., S., P.s., R., 2023. Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis. Engineering Applications of Artificial Intelligence 123, 106335. https://doi.org/10.1016/j.engappai.2023.106335 (NAAS = 14.00)

Awards / Recognitions / Fellowship (Upto Five) :

1. Best Paper Award 2017 (ISAE-Indian Society of Agricultural Engineers)

2. Best Oral Presentation 2023 (Soil Conservation Society of India)

3. Awarded Merit Certificate for M.Tech. (Soil and Water Engineering)

4. Life Member ofSoil Conservation Society of India

5. Life Member of India Society of Agricultural Engineers (ISAE)