Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Benchmarking wide swath altimetry‐based river discharge estimation algorithms for the Ganges river system
Matthew Bonnema, Md. Safat Sikder, Faisal Hossain, et al.
Water Resources Research (2016) Vol. 52, Iss. 4, pp. 2439-2461
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches
Peirong Lin, Ming Pan, Hylke E. Beck, et al.
Water Resources Research (2019) Vol. 55, Iss. 8, pp. 6499-6516
Open Access | Times Cited: 345
An intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope
Michael Durand, Colin J. Gleason, Pierre‐André Garambois, et al.
Water Resources Research (2016) Vol. 52, Iss. 6, pp. 4527-4549
Open Access | Times Cited: 199
Remote Sensing of River Discharge: A Review and a Framing for the Discipline
Colin J. Gleason, Michael Durand
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1107-1107
Open Access | Times Cited: 153
A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission
Michael Durand, Colin J. Gleason, Tamlin M. Pavelsky, et al.
Water Resources Research (2023) Vol. 59, Iss. 4
Open Access | Times Cited: 64
Satellite remote sensing estimation of river discharge: Application to the Yukon River Alaska
David M. Bjerklie, Charon Birkett, John W. Jones, et al.
Journal of Hydrology (2018) Vol. 561, pp. 1000-1018
Open Access | Times Cited: 118
River discharge estimation from radar altimetry: Assessment of satellite performance, river scales and methods
Elena Zakharova, Karina Nielsen, G. K. Kamenev, et al.
Journal of Hydrology (2020) Vol. 583, pp. 124561-124561
Closed Access | Times Cited: 72
How can SWOT derived water surface elevations help calibrating a distributed hydrological model?
Girish Patidar, Adrien Paris, J. Indu, et al.
Journal of Hydrology (2025), pp. 132968-132968
Closed Access | Times Cited: 1
River discharge estimation from synthetic SWOT-type observations using variational data assimilation and the full Saint-Venant hydraulic model
Hind Oubanas, Igor Gejadze, Pierre‐Olivier Malaterre, et al.
Journal of Hydrology (2018) Vol. 559, pp. 638-647
Closed Access | Times Cited: 73
River Bathymetry Estimate and Discharge Assessment from Remote Sensing
Tommaso Moramarco, Silvia Barbetta, David M. Bjerklie, et al.
Water Resources Research (2019) Vol. 55, Iss. 8, pp. 6692-6711
Closed Access | Times Cited: 72
Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT Observations
S. Tuozzolo, Gunnar Lind, B. T. Overstreet, et al.
Geophysical Research Letters (2019) Vol. 46, Iss. 3, pp. 1459-1466
Closed Access | Times Cited: 71
Supraglacial Streams and Rivers
L. H. Pitcher, L. C. Smith
Annual Review of Earth and Planetary Sciences (2019) Vol. 47, Iss. 1, pp. 421-452
Open Access | Times Cited: 66
Constraining Remote River Discharge Estimation Using Reach‐Scale Geomorphology
Craig Brinkerhoff, Colin J. Gleason, Dongmei Feng, et al.
Water Resources Research (2020) Vol. 56, Iss. 11
Closed Access | Times Cited: 60
Assimilation of future SWOT-based river elevations, surface extent observations and discharge estimations into uncertain global hydrological models
Sly Wongchuig, Rodrigo Cauduro Dias de Paiva, Sylvain Biancamaria, et al.
Journal of Hydrology (2020) Vol. 590, pp. 125473-125473
Open Access | Times Cited: 55
Global satellite-based river gauging and the influence of river morphology on its application
Jiawei Hou, Albert I. J. M. van Dijk, Hylke E. Beck
Remote Sensing of Environment (2020) Vol. 239, pp. 111629-111629
Closed Access | Times Cited: 46
QCam: sUAS-Based Doppler Radar for Measuring River Discharge
John W. Fulton, Isaac E. Anderson, Chao‐Lin Chiu, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3317-3317
Open Access | Times Cited: 43
Near-Field Remote Sensing of Surface Velocity and River Discharge Using Radars and the Probability Concept at 10 U.S. Geological Survey Streamgages
John W. Fulton, Christopher A. Mason, Jack Eggleston, et al.
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1296-1296
Open Access | Times Cited: 40
Flood modeling of a large transboundary river using WRF-Hydro and microwave remote sensing
Amit Kumar Dubey, Prashant Kumar, Vinay Chembolu, et al.
Journal of Hydrology (2021) Vol. 598, pp. 126391-126391
Closed Access | Times Cited: 35
Exploring the Factors Controlling the Error Characteristics of the Surface Water and Ocean Topography Mission Discharge Estimates
Renato Prata de Moraes Frasson, Michael Durand, Kévin Larnier, et al.
Water Resources Research (2021) Vol. 57, Iss. 6
Open Access | Times Cited: 35
Combining Landsat 5 TM and UAV images to estimate river discharge with limited ground-based flow velocity and water level observations
Maomao Li, Changsen Zhao, Qi Huang, et al.
Remote Sensing of Environment (2025) Vol. 318, pp. 114610-114610
Closed Access
A Hybrid of Optical Remote Sensing and Hydrological Modeling Improves Water Balance Estimation
Colin J. Gleason, Yoshihide Wada, Jida Wang
Journal of Advances in Modeling Earth Systems (2017) Vol. 10, Iss. 1, pp. 2-17
Open Access | Times Cited: 43
Validation and application of water levels derived from Sentinel-3A for the Brahmaputra River
Qi Huang, XingDong Li, Pengfei Han, et al.
Science China Technological Sciences (2019) Vol. 62, Iss. 10, pp. 1760-1772
Closed Access | Times Cited: 41
Combining Optical Remote Sensing, McFLI Discharge Estimation, Global Hydrologic Modeling, and Data Assimilation to Improve Daily Discharge Estimates Across an Entire Large Watershed
Yuta Ishitsuka, Colin J. Gleason, Mark Hagemann, et al.
Water Resources Research (2020) Vol. 57, Iss. 3
Open Access | Times Cited: 34
Constraining the Assimilation of SWOT Observations With Hydraulic Geometry Relations
Konstantinos M. Andreadis, Craig Brinkerhoff, Colin J. Gleason
Water Resources Research (2020) Vol. 56, Iss. 5
Open Access | Times Cited: 33
AirSWOT InSAR Mapping of Surface Water Elevations and Hydraulic Gradients Across the Yukon Flats Basin, Alaska
L. H. Pitcher, Tamlin M. Pavelsky, L. C. Smith, et al.
Water Resources Research (2018) Vol. 55, Iss. 2, pp. 937-953
Open Access | Times Cited: 36
A Curve‐Fitting Method for Estimating Bathymetry From Water Surface Height and Width
Jacob Schaperow, Dongyue Li, S. A. Margulis, et al.
Water Resources Research (2019) Vol. 55, Iss. 5, pp. 4288-4303
Closed Access | Times Cited: 33
Page 1 - Next Page

Scroll to top