International (Peer-reviewed) Journals:

Distribution of research papers across Web of Science journal quartiles: Q1 (9 papers), Q2 (4 papers), Q3 (2 papers), Q4 (2 paper)

1. Mangukiya, N.K., Gupta, S., Mishra, R., Sharma, A., Sen, S., Agarwal, A., De Santis, D., Massari, C., & Barbetta, S. (2026) "Hydrological uncertainty across snow- and rainfall-dominated sub-basins of a partially glacierized Himalayan catchment", Hydrological Processes, 40 (10), e70717. https://doi.org/10.1002/hyp.70717 (IF 3.1 | Q2)

2. Mangukiya, N.K., Sahu, G., Gupta, S., & Sharma, A. (2026) "Benchmarking and selecting optimal hydrological models for large-sample applications considering complexity and uncertainty", Water Resources Research, 62(7), e2026WR044753. https://doi.org/10.1029/2026WR044753 (IF 6.3 | Q1)

3. Mangukiya, N.K., Baruah, A., Barman, D., Arjun, B.M., & Sharma, A. (2026) "Integrating analytical hierarchy process and machine learning for enhancing flood hazard mapping", Natural Hazards Review, 27(2), 05025018. https://doi.org/10.1061/NHREFO.NHENG-2188 (IF 3.3 | Q2)

4. Sahu, G., Mangukiya, N.K., & Sharma, A. (2026) "Does MC-LSTM model improve the reliability of streamflow prediction in human-influenced watersheds?", Journal of Hydrology, 665 (February 2026), 134711. https://doi.org/10.1016/j.jhydrol.2025.134711 (IF 7.3 | Q1)

5. Mangukiya, N.K. & Sharma, A. (2025) "Integrating reservoir dynamics into differentiable process-based hydrological model for enhanced streamflow estimation", Water Resources Research, 61 (7), e2025WR040268. https://doi.org/10.1029/2025WR040268 (IF 6.3 | Q1)

6. Mangukiya, N.K., Kumar, K.B., Dey, P., Sharma, S., Bejagam, V., Mujumdar, P.P., & Sharma, A. (2025) "CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India", Earth System Science Data, 17 (2), 461–491. https://doi.org/10.5194/essd-17-461-2025 (IF 13.6 | Q1)

7. Mangukiya, N.K. & Sharma, A. (2025) "Deep learning‐based approach for enhancing streamflow prediction in watersheds with aggregated and intermittent observations", Water Resources Research, 61 (1), e2024WR037331. https://doi.org/10.1029/2024WR037331 (IF 6.3 | Q1)

8. Mangukiya, N.K., Kushwaha, S., & Sharma, A. (2024) "A novel multi-model ensemble framework for fluvial flood inundation mapping", Environmental Modelling & Software, 180 (September 2024), 106163. https://doi.org/10.1016/j.envsoft.2024.106163 (IF 5.2 | Q1)

9. Mangukiya, N.K. & Sharma, A. (2024) "Alternate pathway for regional flood frequency analysis in data-sparse region", Journal of Hydrology, 629 (February 2024), 130635. https://doi.org/10.1016/j.jhydrol.2024.130635 (IF 7.3 | Q1)

10. Mangukiya, N.K., Kumar, A., & Sharma, A. (2023) "Machine learning-based regional flood frequency analysis of Indian watersheds", CLEAN - Soil, Air, Water, 53(3), 2300120. https://doi.org/10.1002/clen.202300120 (IF 2.0 | Q3)

11. Mangukiya, N.K., Sharma, A., & Shen, C. (2023) "How to enhance hydrological predictions in hydrologically distinct watersheds of the Indian subcontinent?", Hydrological Processes, 37(7), e14936. https://doi.org/10.1002/hyp.14936 (IF 3.1 | Q2)

12. Gangani, P., Mangukiya, N.K., Mehta, D.J., Muttil, N., & Rathnayake, U. (2023) "Evaluating the efficacy of different DEMs for application in flood frequency and risk mapping of the Indian coastal river basin", Climate, 11(5), 114. https://doi.org/10.3390/cli11050114 (Editor’s Choice | IF 4.0 | Q2)

13. Mangukiya, N.K. & Sharma, A. (2022) "Flood risk mapping for the lower Narmada basin in India: a machine learning and IoT-based framework", Natural Hazards, 113, 1285-1304. https://doi.org/10.1007/s11069-022-05347-2 (IF 4.5 | Q1)

14. Sharma, A., Baruah, A., Mangukiya, N., Hinge, G., & Bharali, B. (2022) "Evaluation of gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach", Ecological Informatics, 69, 101639. https://doi.org/10.1016/j.ecoinf.2022.101639 (IF 8.5 | Q1)

15. Mangukiya, N.K., Mehta, D.J., & Jariwala, R. (2022) "Flood frequency analysis and inundation mapping for lower Narmada basin, India", Water Practice & Technology, 17(2), 612-622. https://doi.org/10.2166/wpt.2022.009 (IF 2.4 | Q3)

16. Kumar, V., Sharma, K.V., Mangukiya, N.K., Tiwari, D.K., Ramkar, P.V., & Rathnayake, U. (2025) "Machine learning applications in flood forecasting and predictions, challenges, and way-out in the perspective of changing environment", AIMS Environmental Science, 12(1), 72-105. https://doi.org/10.3934/environsci.2025004 (IF 1.3 | Q4)

17. Mangukiya, N.K. & Yadav, S.M. (2022) "Integrating 1D and 2D hydrodynamic models for semi-arid river basin flood simulation", International Journal of Hydrology Science and Technology, 14(2), 206-228. https://doi.org/10.1504/IJHST.2022.124549 (IF 1.0 | Q4)

Book Chapters:

1. Batalini de Macedo, M., Mangukiya, N. K., Fava, M. C., Sharma, A., Fray da Silva, R., Agarwal, A., Razzolini, M. T., Mendiondo, E. M., Goel, N. K., Kurian, M., & Nardocci, A. C. (2024) "Performance analysis of physically-based (HEC-RAS, CADDIES) and AI-based (LSTM) flood models for two case studies", Proceedings of IAHS, 386, 41-46. https://doi.org/10.5194/piahs-386-41-2024 (WoS | Scopus indexed)

2. Mangukiya, N.K. & Andharia, B.R. (2023) "Modeling of flood inundation extent in data-scare regions: the case study of Bhavnagar district", Flood Forecasting and Hydraulic Structures, Lecture Notes in Civil Engineering, vol 340. Springer, Singapore. https://doi.org/10.1007/978-981-99-1890-4_2 (Scopus indexed)

3. Mangukiya, N.K., Baladaniya, K.B., Gopika, B., Sourabh, N., & Timbadiya, P.V. (2022) "Design of storm-water drainage network for educational institute", Climate Change and Water Security, Lecture Notes in Civil Engineering, vol 178. Springer, Singapore. https://doi.org/10.1007/978-981-16-5501-2_36 (Scopus indexed)

4. Mehta, D.J., Yadav, S.M., Mangukiya, N.K., & Lukhi, Z. (2022) "Hydrodynamic simulation and dam-break analysis using HEC-RAS 5", A System Engineering Approach to Disaster Resilience, Lecture Notes in Civil Engineering, vol 205. Springer, Singapore. https://doi.org/10.1007/978-981-16-7397-9_29 (Scopus indexed)

5. Yadav, S.M. & Mangukiya, N.K. (2021) "Semi-arid river basin flood: causes, damages, and measures", Proceedings of the Fifth International Conference in Ocean Engineering (ICOE2019). Lecture Notes in Civil Engineering, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-15-8506-7_16 (Scopus indexed)

International/National Conferences:

*Presenting author

1. Drillet, Z.*, Bironne, A., Chaput, A., Floriancic, M., Mangukiya, N.K., Ivanov, V., Ooi, S.K., Babovic, V., & Fatichi, S. (2026) "Introducing a network of experimental catchments in the urban tropics", EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12009. https://doi.org/10.5194/egusphere-egu26-12009. [Postar Presentation]

2. Sahu, G.*, Mangukiya, N.K., & Sharma, A. (2025) "Reliable prediction of streamflow in human-influenced watersheds using a mass-conserving LSTM", Indian Symposium on Machine Learning (IndoML 2025), BITS Pilani Hyderabad, India, 19-21 December 2025. [Poster Presentation]

3. Mangukiya, N.K.* & Sharma, A. (2025) "Deep learning-based approach for daily streamflow prediction in watersheds with aggregated and intermittent observations", IAHS Scientific Assembly 2025, Roorkee, India, 05-10 October 2025. Abstract ID: IAHS25_ABS_G4215. [Oral + Poster]

4. Sahu, G.*, Mangukiya, N.K., & Sharma, A. (2025). "Does MC-LSTM model improve the reliability of streamflow prediction in human-influenced watersheds in India?", IAHS Scientific Assembly 2025, Roorkee, India, 05-10 October 2025. Abstract ID: IAHS25_ABS_P7530. [Oral + Poster]

5. Sharma, A., Mangukiya, N.K.*, Kumar, K.B., Dey, P., Sharma, S., Bejagam, V., & Mujumdar, P. (2025) "CAMELS-IND: Hydrometeorological time series and catchment attributes for 472 catchments in Peninsular India", IAHS Scientific Assembly 2025, Roorkee, India, 05-10 October 2025. Abstract ID: IAHS25_ABS_X3930. [Oral + Poster]

6. Sharma, A.*, Mangukiya, N.K., & Dash, S.S. (2025) "Enhancing inflow prediction for dams using differentiable process-based modeling: a case study of the Rengali dam, India", 41st IAHR World Congress, Singapore, 22-27 June 2025. [Poster Presentation]

7. Sharma, A. & Mangukiya, N.K.* (2024) "Enhancing hydrological predictions in sparsely sampled watersheds using deep learning alternatives", AGU Annual meeting 2024, Washington DC, USA, 9-13 December 2024. Abstract ID: 1667708. [Poster Presentation]

8. Mangukiya, N.K.*, Sharma, A., & Shen, C. (2024) "Enhancing hydrological predictions in sparsely sampled watersheds using deep learning alternatives", HydroML Symposium 2024, Richland WA, USA. 29-31 May 2024. [Oral + Poster]

9. Gupta, S.*, Mangukiya, N.K., Sharma, A., Sen, S., Agrawal, A., De Santis, D., Massari, C., & Barbetta, S. (2024) "Uncertainties analysis of the hydrological modelling in Himalayan region: a case study of Alaknanda river basin", EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15204. https://doi.org/10.5194/egusphere-egu24-15204. [Poster Presentation]

10. Mangukiya, N.K.* & Sharma, A. (2024) "Enhancing streamflow predictions in the Indian subcontinent using Long Short-Term Memory network", 3rd Roorkee Water Conclave (RWC2024), IIT Roorkee, India, 03-06 March 2024. [Oral Presentation]

11. Mangukiya, N.K.* & Sharma, A. (2023) "Improving streamflow prediction in data-scarce, hydrologically distinct watersheds through deep learning", Indian Symposium on Machine Learning (IndoML 2023), IIT Bombay, India, 21-23 December 2023. [Poster Presentation]

12. Sharma, A.* & Mangukiya, N.K. (2023) "Assessing the efficacy and constraints of deep learning for advancing hydrological predictions in Indian context", the 41st AHI Annual Convention and National Seminar on Hydrology with special reference to ‘Hydrological Solutions for Sustainable Development’, PSGIAS, Coimbatore, India, 01-02 December 2023. [Oral Presentation]

13. Mangukiya, N.K.* & Sharma, A. (2023) "Machine learning-based flood risk mapping framework for the lower Narmada basin in India", the 13th International Conference of the International Society for the Integrated Disaster Risk Management (IDRiM 2023), IIT Roorkee, India, 28-30 September 2023, IDRiM2023/ABSN/166. [Oral + Poster]

14. Sharma, A.* & Mangukiya, N.K. (2023) "Hydrological modeling in data-sparse regions using long short-term memory network: a case study in India", XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023). https://doi.org/10.57757/IUGG23-0081. [Oral Presentation]

15. Mangukiya, N.K.* & Sharma, A. (2023) "Evaluating machine learning approach for regional flood frequency analysis in data-sparse regions", EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-1278. https://doi.org/10.5194/egusphere-egu23-1278. [Oral Presentation]

16. Batalini de Macedo, M.*, Mangukiya, N. K., Fava, M.C., Sharma, A., Fray da Silva, R., Agarwal, A., Razzolini, M.T., Mendiondo, E.M., Goel, N.K., Kurian, M., & Nardocci, A.C. (2023) "Flood resilience modelling for megacities in developing countries: benchmark of different techniques for flood modelling", The 9th International Conference on Flood Management (ICFM9), Epochal Tsukuba International Congress Center, Japan, 18-22 February 2023. [Oral Presentation]

17. Mangukiya, N.K.*, Kumar, A., & Sharma, A. (2023) "Application of machine learning algorithms for regional flood frequency analysis of ungauged watersheds in India", National Conference on Land-Atmosphere Interactions Controlling Weather & Climate: Applications of Numerical Models and Observations (LAI-2023), organized by NIT Rourkela, 9-12 January 2023. [Oral Presentation]

18. Sharma, A.*, Vishwakarma, A., & Mangukiya, N.K. (2022) "Increasing climatic extremes and flood risk in India: a comparison of CMIP5 and CMIP6", International Conference on Systems Analysis for Enabling Integrated Policy Making, organized by TIFAC and IIASA, New Delhi, 10-12 August 2022. [Oral Presentation]

19. Batalini de Macedo, M.*, Fray da Silva, R., Fava, M.C., Sharma, A., Mangukiya, N.K., Sarmento Buarque, A.C., Razzolini, M.T., Mendiondo, E.M., Goel, N.K., Kurian, M., & Nardocci, A.C. (2022) "Modelling urban floods in megacities: a comparative bibliometric review of traditional physically based and artificial intelligence models", IAHS-AISH Scientific Assembly 2022, Montpellier, France, 29 May–3 Jun 2022, IAHS2022-687. https://doi.org/10.5194/iahs2022-687. [Oral Presentation]

20. Mehta, D.J.*, Mangukiya, N.K., Andar, N., & Prajapati, K. (2021) "Application of geospatial technology to assess the impact of various factors causing flooding in the lower Tapi river basin", First International Conference on “Emerging Research and Innovations in Civil Engineering” organized by Government Engineering College, Surat. [Oral Presentation]

21. Mehta, D.J.*, Mangukiya, N.K., Eslamian, S., & Yennam, V. (2021) "1D and 2D hydrodynamic simulation of flood: a case study of Purna river, Navsari", First International Conference on “Emerging Research and Innovations in Civil Engineering” organized by Government Engineering College, Surat. [Oral Presentation]

22. Mangukiya, N.*, Ravani, A., Miyani, Y., & Bhavsar, M. (2016) "Study of P-Delta analysis for R.C. structure", GRD Journal for Engineering, vol 1, issue 1, pp. 452-455. [Oral Presentation]

23. Mangukiya, N.*, Ravani, A., Miyani, Y., & Bhavsar, M. (2016) "Seismic behavior of R.C. frame building with and without masonry infills", GRD Journal for Engineering, vol 1, issue 1, pp. 483-491. [Oral Presentation]

24. Sonani, R.*, Isamaliya, D., Gadhiya, J., Mangukiya, N. (2016) "Behavior of R.C. structure with and without provision of shear wall including openings against lateral loads", GRD Journal for Engineering, vol 1, issue 1, pp. 320-324. [Oral Presentation]