Saha, A., Gupta, B. S., Patidar, S., & Martínez-Villegas, N. (2024). Contamination risk assessment and distribution of rare trace metal (loid) s in surface soil of Cerrito Blanco, Mexico using various contamination indices. Total Environment Advances, Elsevier, 9, 200086. Doi: 10.1016/j.teadva.2023.200086 

Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. (2023). Optimal GIS Interpolation Techniques and Multivariate Statistical Approach to Study the Soil-Trace Metal (loid)s Distribution Patterns in the Agricultural Surface Soil of Matehuala, Mexico. Journal of Hazardous Materials Advances, Elsevier, 9, 100243. Doi: 10.1016/j.hazadv.2023.100243 

Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. (2023). Source Apportionment of Heavy Metal(loid)s in the Surface Soils of Cerrito Blanco, Mexico: A Comparative Study of Three Receptor Models (APCS-MLR, PMF and UNMIX Model). Springer Book chapter. (accepted) 

Patil, M., Saha, A., Pingale, S.M., Rathore, D.S. and Goyal, V.C., (2023). Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques, International Journal of Engineering and Geosciences, Dergi Park publisher, 8(3), 224-238. Doi: 10.26833/ijeg.1115608 

Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. (2022). Spatial distribution and source identification of metal contaminants in the surface soil of Matehuala, Mexico based on positive matrix factorization model and GIS techniques. Frontiers in Soil Science, 2. Doi: 10.3389/fsoil.2022.1041377 

Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N., (2022). Spatial distribution based on optimal interpolation techniques and assessment of contamination risk for toxic metals in the surface soil. Journal of South American Earth Sciences, Elsevier, 115, 103763. Doi: 10.1016/j.jsames.2022.103763 

Saha, A., Sen Gupta, B., Patidar, S., and Martínez-Villegas, N., (2022). Identification of Soil Arsenic Contamination in Rice Paddy Field Based on Hyperspectral Reflectance Approach. Soil Systems, MDPI, 6(1), 30. Doi: 10.3390/soilsystems6010030 

Gupta, K., Saha, A., and Sen Gupta, B. (2022). Spatio-temporal distribution of pollutant trace gases (CO, CH4, O3 and NO2) in India: an observational study. Geology, Ecology, and Landscapes, Taylor and Francis, 1-21. Doi: 10.1080/24749508.2022.2132706 

Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. (2022). Evaluation of Potential Ecological Risk Index of Toxic Metals Contamination in the Soils. Chemistry Proceedings, MDPI, 10(1), 59. Doi: 10.3390/IOCAG2022-12214 

Saha, A. (2021). Alarming Situation in India due to Second Wave of COVID-19. Academia Letters, Article 1391. Doi: 10.20935/AL1391 

Patil, M., Patel, R., and Saha, A. (2021). Sediment Yield and Soil Loss Estimation Using GIS Based Soil Erosion Model: A Case Study in the MAN Catchment, Madhya Pradesh, India. Environmental Sciences Proceedings, MDPI, 8(1), 26. Doi: 10.3390/ecas2021-10348 

Saha, A., Gupta, K., Patil, M., and Urvashi, (2020). Monitoring and Epidemiological Trends of Coronavirus Disease (COVID-19) Around the World. Matrix Sci Med, 4(4): 121-126. Doi: 10.4103/MTSM.MTSM_16_20

Gupta, K. and Saha, A., (2020). A Study of Annual and Seasonal Variations in Tropospheric Ozone (O3) Concentrations over India. Preprints 2020, MDPI, 2020040188, Doi: 10.20944/preprints202004.0188.v1

Saha, A., Garg, P.K., and Patil, M., (2019). The Effect of Contaminated Snow Reflectance using Hyperspectral Remote Sensing - A Review, International Journal of Image and Data Fusion, Taylor and Francis,10(2): 1-24, Doi: 10.1080/19479832.2019.1582561

Saha, A., Patil, M., Goyal, V.C. and Rathore, D.S., (2019). Assessment and Impact of Soil Moisture Index in Agricultural Drought Estimation using Remote Sensing and GIS Techniques, Proceedings, MDPI, 7(2): 1-8, Doi: 10.3390/ECWS-3-05802

Patil, M., Saha, A., Karwariya, S., Pingale, S.M., Goyal, V.C., Rathore, D.S. and Behera, N., (2019). Assessment of Rainfall Recharge using rainfall infiltration factor method and compare with empirical equations, Discovery Nature, 13(1): 1-8. 

Saha, A., Patil, M., Karwariya, S., Azmi, S., Goyal, V.C. and Rathore, D.S., (2018). Identification of Potential Sites for Water Harvesting Structures using Geospatial Techniques and Multi-Criteria Decision Analysis, proceeding in ISPRS TCV Midterm Symposium 2018, Nov 2018. Doi: 10.5194/isprs-archives-XLII-5-329-2018

Saha, A., Saha, J., Ray, R., Sircar, S., Dutta, S., Chattopadhyay, S. P., & Saha, H. N. (2018). IOT-based drone for improvement of crop quality in agricultural field. In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 612-615). IEEE. Doi: 10.1109/CCWC.2018.8301662

Saha, A., (2018). Snow Grain Size Mapping using Hyperspectral Remote Sensing Data, LAP Lambert Academic Publishing, 1-69, 2018. https://www.amazon.com/Grain-Mapping-Hyperspectral-RemoteSensing/dp/6137321975

Saha, A., Tomar, S., Rana, A., Tripathy, A. and Singh, A., (2017). Groundwater Potential Zone Identification using Remote Sensing and GIS Techniques - A Case Study of Karwi Block Area, Uttar Pradesh, India, IOSR Journal of Applied Geology and Geophysics, 5(5): 43-51, Doi: 10.9790/0837-0505024351

Saha, A., Thakur, P.K. and Chouksey, A., (2017). Hydrological Simulation Using Process Based and Empirical Models for Flood Peak Estimation, International Journal of Advanced Remote Sensing and GIS, 6(1): 2253-2266, 2017. Doi: 10.23953/cloud.ijarsg.287

Saha, A. and Singh, P., (2017). Drainage Morphometric Analysis and Water Resource Management of Hindon River Basin, using Earth Observation Data Sets, Imperial Journal of Interdisciplinary Research, 3(4): 2051-2057. 

Singh, P., Saha, A., and Rai, P.K., Effectiveness of Quantitative Morphometric Analysis of Drainage Basin based on Earth Observation Data, Arabian Journal of Geosciences, Springer. (Reviewing Process) 

Saini, D. S., Mithuna, R., Gupta, B. S., Saha, A., & Das, B. (2023). Land Use/Cover Dynamics and Associated Impacts on Eutrophication, Land Surface Temperature, and Ecosystem Service Values: An Eco-Climatological Investigation of Chilika Lake, India. (Reviewing Process)