Bibliometric analysis of the development of scientific research in the field of hydrology and water resources
Received: 2026-06-22 16:35:11
Published: 2026-06-22
Abstract
This article analyzes scientific research in the field of hydrology and water resources based on a bibliometric approach. The purpose of the study is to identify development trends, leading journals, highly cited articles, active authors, and main thematic areas of scientific publications published in the Scopus database during 2010–2026. For the study, 944 scientific articles were selected, and their publication dynamics, source types, journal activity, author contributions, citation indicators, and keyword network were analyzed. Bibliometric analysis was carried out using the Biblioshiny platform, while visualization was performed using VOSviewer and Excel software. The results showed that Water Switzerland, Journal of Hydrology, and Water Resources Research are leading scientific platforms in this field. The most cited articles were related to climate change, hydrological modeling, and water resources management. The keyword network confirmed that the concepts of “climate change”, “remote sensing”, “reservoir”, “water balance”, and “machine learning” are at the center of research. Bibliometric analysis was found to be an effective tool for identifying the priority areas of the field.
Keywords
List of references
-
Biemans, H., et al. Impact of reservoirs on river discharge and irrigation water supply during the 20th century. Water Resources Research 2011, 47(3).
-
Ehsani, N., et al. Reservoir operations under climate change: Storage capacity options to mitigate risk. Journal of Hydrology 2017, 555, 435–446.
-
Yang, T., et al. Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information. Water Resources Research 2017, 53(4), 2786–2812.
-
Hecht, J.S., et al. Hydropower dams of the Mekong River basin: A review of their hydrological impacts. Journal of Hydrology 2019, 568, 285–300.
-
Busker, T., et al. A global lake and reservoir volume analysis using a surface water dataset and satellite altimetry. Hydrology and Earth System Sciences 2019, 23(2), 669–690.
-
Jeppesen, E., et al. Ecological impacts of global warming and water abstraction on lakes and reservoirs due to changes in water level and related changes in salinity. Hydrobiologia 2015, 750(1), 201–227.
-
Jeppesen, E., et al. Ecological impacts of global warming and water abstraction on lakes and reservoirs due to changes in water level and related changes in salinity. Hydrobiologia 2015, 750(1), 201–227.
-
Wang, J.; Sheng, Y.; Tong, T.S.D. Monitoring decadal lake dynamics across the Yangtze Basin downstream of Three Gorges Dam. Remote Sensing of Environment 2014, 152, 251–269.
-
Yang, X.; Lu, X.X. Drastic change in China’s lakes and reservoirs over the past decades. Scientific Reports 2014, 4.
-
Pokhrel, Y.N., et al. A review of the integrated effects of changing climate, land use, and dams on Mekong river hydrology. Water 2018, 10(3).
-
Yang, S., et al. Real-time reservoir operation using recurrent neural networks and inflow forecast from a distributed hydrological model. Journal of Hydrology 2019, 579.
-
Dong, S., et al. Carbon balance model of groundwater system: A field application. Journal of Hydrology 2022, 610, 127845.
-
Chua, Z.-W.; Kuleshov, Y.; Watkins, A. Evaluation of satellite precipitation estimates over Australia. Remote Sensing 2020, 12(4), 678.
-
Zhou, J.-Q., et al. Effect of slippery boundary on solute transport in rough-walled rock fractures under different flow regimes. Journal of Hydrology 2021, 598, 126456.
-
Yuan, C., et al. National estimation of regulated water storage of reservoirs in China. Journal of Hydrology 2024, 645, 132296.
-
Cooley, S.W., et al. Global intercomparison of satellite-derived variability in reservoir storage. Environmental Research Letters 2025, 20(8), 084035.
-
Jiao, Y., et al. The cooling effect of oasis reservoir-riparian forest systems in arid regions. Water Resources Research 2024, 60(10), e2024WR038301.
-
Jesus, B., et al. Spectral-radiometric analysis of taxonomically mixed microphytobenthic biofilms. Remote Sensing of Environment 2014, 140, 196–205.
-
Cho, M.A.; Ramoelo, A.; Dziba, L. Response of land surface phenology to variation in tree cover during green-up and senescence periods in the semi-arid savanna of Southern Africa. Remote Sensing 2017, 9(7), 689.
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