1. Vikas Kumar Vidyarthi, and Ashu Jain (2020), “Knowledge Extraction from Trained ANN Drought Classification Model”, Journal of Hydrology, HYDROL_124804, Volume: 585, (Elsevier Publication, I.F.: 7.3, SCI-Q1) https://doi.org/10.1016/j.jhydrol.2020.124804.

2. Vikas Kumar Vidyarthi, Ashu Jain, and Shikha Chourasiya (2020), “Modeling Rainfall-Runoff Process using Artificial Neural Network with Emphasis on Parameter Sensitivity”, Modeling Earth Systems and Environment, (Springer Publication, ESCI, SCOPUS-Q1), https://doi.org/10.1007/s40808-020-00833-7. 

3.  Vikas Kumar Vidyarthi, Pragya Mukherjee, and Shikha Chourasiya (2021), “Modelling and forecasting of relative humidity in Indian region”, International Journal of Hydrology Science and Technology, (SJR: 0.21, ESCI, SCOPUS), DOI: 10.1504/IJHST.2021.10043052.

4. Vikas Kumar Vidyarthi, and Ashu Jain (2022), “Incorporating non-uniformity and non-linearity of hydrologic and catchment characteristics in rainfall-runoff modeling using conceptual, data-driven, and hybrid techniques”, Journal of Hydroinformatics, (I.F.: 3.058, SCI-Q2), jh2022088, https://doi.org/10.2166/hydro.2022.088.

5.  Vikas Kumar Vidyarthi, and Ashu Jain (2022), “Advanced Rule-Based System for Rainfall Occurrence Forecasting by Integrating Machine Learning Techniques”, Journal of Water Resources Planning and Management (ASCE), (I.F.: 3.46, SCI-Q1) 149(1): 04022072, DOI: 10.1061/(ASCE)WR.1943-5452.0001631.

6. Vikas Kumar Vidyarthi, and Ashu Jain (2023),  “Development of simple semi-distributed approaches for modelling complex rainfall-runoff process”, Hydrological Sciences Journal, (I.F.: 3.942, SCI-Q1) DOI: 10.1080/02626667.2023.2197117.

7. Dubey, V., Panigrahi, S. and Vidyarthi, V. K.  (2023), “Statistical Trend Analysis of Major Climatic Factors over Chhattisgarh State, India”. Earth Syst Environ, (SPRINGER, ESCI, SCOPUS-Q1), https://doi.org/10.1007/s41748-023-00345-1.

8. Vikas Kumar Vidyarthi, and Ashu Jain (2023), “Does ANN really acquire the physics of the system? A study using conceptual components from an established water balance model”. Journal of Hydroinformatics, (I.F.: 3.058, SCI-Q2) 25 (4): 1380–1395. doi: https://doi.org/10.2166/hydro.2023.025

9. Panigrahi, S., Vikas Kumar Vidyarthi (2024) "Identification of the most suitable meteorological drought index for a region: a case study of Raigarh district in Chhattisgarh. Natural Hazards, (I.F.: 4.5, SCI-Q1), 120, 7527–7547. https://doi.org/10.1007/s11069-024-06516-1. 

10. Sahu, G., Vikas Kumar Vidyarthi (2024) “Modeling land use/land cover transformations in Mahanadi River basin in Chhattisgarh, India: trends and future projections”. GeoJournal (I.F.: 2.2 ESCI, SCOPUS-Q2] 89, 132 (2024). https://doi.org/10.1007/s10708-024-11152-0.

11. Panigrahi, S., Vikas Kumar Vidyarthi (2024) "Assessing the suitability of McKee et al. (1993) drought severity classification across India".  Natural Hazards, (I.F.: 4.5, SCI-Q1), 120, 13543–13572 (2024). https://doi.org/10.1007/s11069-024-06762-3.

12. Vikas Kumar Vidyarthi (2024) “Modeling the rainfall–runoff process in the Bird Creek River Basin: a comparative analysis of conceptual and artificial neural network techniques”. Journal of Hydroinformatics, (I.F.: 2.9, SCI-Q2), 26(11), pp.2762-2780. https://doi.org/10.2166/hydro.2024.115

13. Singh, B.P., Varshney, P., Chourasiya, S.,  Vikas Kumar Vidyarthi et al. (2025) "Assessment of physicochemical properties and heavy metal contamination in riverine system and their impacts on public health. Discov Water 5, 50 (2025). https://doi.org/10.1007/s43832-025-00243-9

14. Ansari, S.A., Vikas Kumar Vidyarthi  (2025), “Use of Internet of Things in water resources applications: challenges and future directions: a critical review”. Discov Internet Things (ESCI, SCOPUS-Q1), 5, 96. https://doi.org/10.1007/s43926-025-00193-7

15. Dubey, V., Vikas Kumar Vidyarthi  (2025) "Data-driven techniques in rainfall forecasting using CMIP6 simulation outputs and ground-observed data". Acta Geophysica, (IF: 2.4 SCIE-Q2) 73, 4981–4998 (2025). https://doi.org/10.1007/s11600-025-01626-1

16. Poyam, A., Vikas Kumar Vidyarthi & Verma, M. (2025) "Assessment of performance of conventional and machine learning methods for estimating missing precipitation data". Acta Geophysica, (IF: 2.4 SCIE-Q2), 73, 6185–6206 (2025). https://doi.org/10.1007/s11600-025-01717-z.

17. Sahu, G., Vikas Kumar Vidyarthi  (2025) "Streamflow projections in response to LULC changes and climate change scenarios using HEC-HMS and identified most efficient CMIP6 data". Acta Geophysica, (IF: 2.4 SCIE-Q2), 73, 5795–5813 (2025). https://doi.org/10.1007/s11600-025-01657-8.

18. G Sahu, Vikas Kumar Vidyarthi (2025) "Performance of CMIP6 climate models in assessing the ground observed climatic variables: A comparative study using statistical approach". Songklanakarin Journal of Science Technology, (ESCI, SCOPUS), 47 (2), 151–159. 

19. Sharma, A., Vikas Kumar Vidyarthi (2026) "Comprehensive flood inundation mapping by integrating HEC-RAS and ArcGIS for a long stretch multi-tributary river system". ISH Journal of Hydraulic Engineering, (IF: 1.2, SCI-Q2), 32(2), 429–455. https://doi.org/10.1080/09715010.2025.2610184

20. SUBHADARSINI J. , JHARIYA DC, Vikas Kumar Vidyarthi et al. (2026), "Assessment and Validation of Groundwater Potential Zones using Analytical Hierarchy Process (AHP) and Observed Yield Date in the Central Kharun River Basin, CG, India". LARHYSS Journal, (SCOPUS) P-ISSN 1112-3680/E-ISSN 2521-9782, 127-156. 

21. Panigrahi, S., Vikas Kumar Vidyarthi (2026) "Optimal CMIP6 Model Identification Using Multi-criteria Statistical Analysis for Drought Projection in Indian Meteorological Subdivisions". Pure Appl. Geophys. (IF: 2.1, SCIE-Q2), 183, 2977–3010 (2026). https://doi.org/10.1007/s00024-026-03996-z

1. Vidyarthi V. K., and Chourasiya S. (2020), “Particle Swarm Optimization for Training Artificial Neural Network-Based Rainfall-Runoff Model, Case Study: Jardine River Basin.” In: Sharma D., Balas V., Son L., Sharma R., Cengiz K. (eds) Micro-Electronics and Telecommunication Engineering. Lecture Notes in Networks and Systems, vol. 106. (SCOPUS) Springer, Singapore. https://doi.org/10.1007/978-981-15-2329-8_65
2. Shikha Chourasiya, Bivash Talukdar, Vikas Kumar Vidyarthi, Aayushya Vajpayee, Saeid Eslamian, and Hemanta Medhi (2022), “Modeling Reference Evapotranspiration with Limited Climatic Data for Indian Regions Using Artificial Neural Networks”, (Chapter ID: 75770), Book Title: Water Scarcity: Global Perspectives, Issues and Challenges, Book ID: 18393, Nova Science Publishers, Inc., 415 Oser Avenue, Suite N, Hauppauge, NY 11788 USA (SCOPUS). (In press).
3. Hemanta Medhi, Pramod Soni, Vikas Kumar Vidyarthi, Shikha Chourasiya (2022), “Understanding the relationship between normalized difference vegetation index and meteorological attribute using clustering algorithm”, Smart Sensors, Actuators and Decision Support Systems for Precision Agriculture, (SCOPUS), Apple Academic Press, CRC Press, (Taylor & Francis Group), USA. (Accepted)

1. Vikas Kumar Vidyarthi and Ashu Jain (2014), “Comparison of Conceptual and Neural Network Rainfall-Runoff Models”, AGU-Fall Meeting, San Francisco, California, USA (Attended and Presented).
2. Vikas Kumar Vidyarthi and Ashu Jain (2014), “Investigation of sensitivity of popular training methods to initial weights in ANN rainfall-runoff modeling”, 3rd International Conference on Hydrology & Meteorology, Hyderabad, India (Attended and Presented).
3. Vikas Kumar Vidyarthi and Ashu Jain (2015), “Identification of The Physical Components of Hydrologic Cycle in Trained ANN Model”, (ID: HS02- Identification A016), 12th Annual meeting, AOGS, Singapore (Attended and Presented).
4. Vikas Kumar Vidyarthi, A. Vajpayee and Ashu Jain (2015), “Estimation of Evapotranspiration for Limited Climatic Data of Indian Catchment Using Artificial Neural Networks”, (Full Paper Id: HYD-335), 20^th International Conference on Hydraulics, Water Resources and River Engineering (HYDRO), IIT Roorkee (Attended and Presented).
5. Vikas Kumar Vidyarthi, and Ashu Jain (2016), “Conceptual Rainfall-Runoff Model using Distributed Approach”, (Full Paper ID: HYD16-596), 21^th International Conference on Hydraulics, Water Resources and Coastal Engineering (ISH-HYDRO-2016), CWPRS, Pune (Attended and Presented).
6. Krutika Kalkal, and Vikas Kumar Vidyarthi (2016), “Application of Artificial Neural Networks in Rainfall Prediction: A Review”, (Full Paper ID: HYD16-598), 21^th International Conference on Hydraulics, Water Resources and Coastal Engineering (ISH-HYDRO-2016), CWPRS, Pune (Attended and Presented). 
7. Vikas Kumar Vidyarthi, Prudhvi Sagar, K. Sri Harsha, Shivam Tripathi, Naren Naik, and Prabhat Munshi (2017), “Ultrasonic Transit-time Flowmeters for Pipes: A Short Review”, 5^th Edition of the Global Conference and Exhibition on Innovative Solutions in Flow Measurement and Control - Oil, Water and Gas, FCRI Palakkad, Kerala, India (Attended and Presented). 
8. Vikas Kumar Vidyarthi, Prudhvi Sagar, A. K. Gond, V. Ravi, K. Sri Harsha, Shivam Tripathi, Naren Naik, and Prabhat Munshi (2018), “Transit-time Measurements in Inline Ultrasonic Flowmeters for Pipes”, 7^th International & 45^th National Fluid Mechanics and Fluid Power Conference (FMFP), IIT Bombay, Mumbai (Attended and Presented). 
9. Vikas Kumar Vidyarthi and Shikha Chourasiya (2019), Particle Swarm Optimization for Training Artificial Neural Network based Rainfall-Runoff Model, Case Study: Jardine River Basin, SPRINGER ICMETE, SRM IST Modinagar (Attended and Presented). 
10. Arya, D., Chinthulal, V.S., Agrawal, A., Sagar, P., Kumar, M., Nishad, S., Vidyarthi, V. K., Harsha, K. S., Tripathi, S., Naik, N., Munshi, P. (2019), “Open channel discharge measurements by ultrasonic transit-time methods”, ISBN: 978-93-8935-484-3, BS Publications, HYDRO-2019, (18-20, Dec 2019), Osmania University, Hyderabad.
11. Panigrahi, S., and Vidyarthi, V. K. (2023), “Evaluation of the Rayalaseema Meteorological Subdivision’s Drought Using Multiple Drought Indices”. Creative and Innovative Solutions in Civil Engineering (CISCE -2023), Organized by Department of Civil Engineering, MNIT Jaipur.
12. Gangboir, S., Chouksey, S. K. & Vidyarthi, V. K. (2023). Assessment of drought in Raipur district using SPI. Student Conference on Accelerating Change for Water Resources Development, IWRS and NIT Raipur on 22 March 2023.
13. Panigrahi, S., Vidyarthi, V. K., Dubey, V. K. (2023), “Drought Monitoring using Meteorological Drought Indices”. Accelerating Change for Water Resources Development, IWRS Student Chapter, Department of Civil Engineering, NIT Raipur

1. National conference on Ganga River basin management (GRBM), IIT Kanpur (2012).
2. Workshop on MATLAB, by Mathworks, at IIT Kanpur (2012).
3. Oral presentation on “Knowledge Extraction of trained ANN hydrologic modeling” on Research Scholar Day, Civil Engineering, IIT Kanpur (2013).
4. Workshop on Environmental Applications of Remote Sensing for Water Resources, by Prof Faisal Hossain from the Department of Civil and Environmental Engineering, Tennessee Technological University, USA, organized by IIT Kanpur (2013). 
5. Workshop on the use of BASINS/HSPF software by Dr. Anurag Mishra of AQUA TERRA Consultants, California, USA, organized by Department of Civil Engineering IIT Kanpur (2013).  
6.  Symposium on High-Performance Computing (HPC), organized by Computer center, IIT Kanpur (2014).
7. 5-days Workshop on “Statistical Analysis for Engineers and Researchers (SAFER-2017)”, conducted by Centre for Development of Technical Education, IIT Kanpur, 4-8 September (2017).
8. 2-Months Certificate Course on “Introduction to R software”, from 24/07/2017 to 24/09/2017 by Prof. Shalabh, IIT Kanpur, organized by NPTEL India (2017), ELITE and Gold Medal.
9. Attended 5-days GIAN Course on “Moment Analysis for contaminant fate and transport” from 20/03/2018 to 24/03/2018, conducted by Faculties of Hydraulics and Water Resources, IIT Kanpur and Prof. R. S. Govindaraju, Purdue University, USA.
10. Attended 5-days AICTE Training and Learning (ATAL) Academy Online FDP on "GIS & Remote Sensing" from 2020-11-23 to 2020-11-27 at Government Engineering College Bilaspur.
11. Attended Webinar on “Mathematical Modeling using Maple” conducted by CIT – TLC (Under PMMMNMTT, Department of Higher Education, MHRD, GoI), on 27/11/2020.
12. Attended “eWater Software Conference”, on 1-2 December 2020, organized by eWater.

Ph.D. Guided: 7 (Ongoing)

M. Tech. Thesis Guided: 5 (Completed), 1 (Ongoing)

B.Tech Projects Guided: 25 (Completed)