Balaji Devaraju

959 total citations
21 papers, 634 citations indexed

About

Balaji Devaraju is a scholar working on Oceanography, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Balaji Devaraju has authored 21 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oceanography, 10 papers in Global and Planetary Change and 6 papers in Water Science and Technology. Recurrent topics in Balaji Devaraju's work include Geophysics and Gravity Measurements (16 papers), Flood Risk Assessment and Management (6 papers) and Hydrology and Watershed Management Studies (6 papers). Balaji Devaraju is often cited by papers focused on Geophysics and Gravity Measurements (16 papers), Flood Risk Assessment and Management (6 papers) and Hydrology and Watershed Management Studies (6 papers). Balaji Devaraju collaborates with scholars based in Germany, India and Austria. Balaji Devaraju's co-authors include Nico Sneeuw, Bramha Dutt Vishwakarma, Mohammad J. Tourian, Harald Kunstmann, Omid Elmi, Qiang Chen, Christof Lorenz, András Bàrdossy, Andreas Groh and Martin Horwath and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and Remote Sensing.

In The Last Decade

Balaji Devaraju

18 papers receiving 623 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Balaji Devaraju Germany 12 418 305 183 145 143 21 634
Nengfang Chao China 14 370 0.9× 255 0.8× 157 0.9× 147 1.0× 113 0.8× 38 583
Bramha Dutt Vishwakarma United Kingdom 16 472 1.1× 362 1.2× 224 1.2× 137 0.9× 140 1.0× 31 802
Yulong Zhong China 17 528 1.3× 344 1.1× 185 1.0× 228 1.6× 149 1.0× 51 823
Ashraf Rateb United States 13 431 1.0× 189 0.6× 150 0.8× 206 1.4× 130 0.9× 23 674
Zhicai Luo China 18 587 1.4× 289 0.9× 173 0.9× 240 1.7× 205 1.4× 69 944
A. A. Cazenave France 10 333 0.8× 204 0.7× 113 0.6× 90 0.6× 130 0.9× 15 523
Hok Sum Fok China 15 337 0.8× 184 0.6× 102 0.6× 175 1.2× 79 0.6× 51 499
M. C. Gennero France 9 430 1.0× 470 1.5× 301 1.6× 99 0.7× 85 0.6× 14 824
Natthachet Tangdamrongsub United States 19 550 1.3× 299 1.0× 246 1.3× 244 1.7× 163 1.1× 51 911
V. M. Tiwari India 9 454 1.1× 175 0.6× 174 1.0× 169 1.2× 153 1.1× 20 793

Countries citing papers authored by Balaji Devaraju

Since Specialization
Citations

This map shows the geographic impact of Balaji Devaraju's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Balaji Devaraju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balaji Devaraju more than expected).

Fields of papers citing papers by Balaji Devaraju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Balaji Devaraju. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Balaji Devaraju. The network helps show where Balaji Devaraju may publish in the future.

Co-authorship network of co-authors of Balaji Devaraju

This figure shows the co-authorship network connecting the top 25 collaborators of Balaji Devaraju. A scholar is included among the top collaborators of Balaji Devaraju based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Balaji Devaraju. Balaji Devaraju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Devaraju, Balaji, et al.. (2025). Processing pipeline for fully-automated computation of 3D glacier surface flow time series. Computers & Geosciences. 200. 105918–105918.
2.
3.
Tiwari, Ashutosh, Nagarajan Balasubramanian, Balaji Devaraju, et al.. (2021). Establishment of State-of-the-Art Geodesy Village in India: Current status and Outlook. 1 indexed citations
4.
Devaraju, Balaji, et al.. (2018). Analysis of GRACE range-rate residuals with focus on KBR instrument system noise. Advances in Space Research. 62(2). 304–316. 15 indexed citations
5.
Vishwakarma, Bramha Dutt, Balaji Devaraju, & Nico Sneeuw. (2018). What Is the Spatial Resolution of grace Satellite Products for Hydrology?. Remote Sensing. 10(6). 852–852. 95 indexed citations
6.
Weigelt, Matthias, Daniel Arnold, Torsten Mayer‐Gürr, et al.. (2018). HL-SST and SLR - bridging the gap between GRACE and GRACE-Follow On. Open Access CRIS of the University of Bern. 20. 13517. 2 indexed citations
7.
Vishwakarma, Bramha Dutt, Martin Horwath, Balaji Devaraju, Andreas Groh, & Nico Sneeuw. (2017). A Data‐Driven Approach for Repairing the Hydrological Catchment Signal Damage Due to Filtering of GRACE Products. Water Resources Research. 53(11). 9824–9844. 59 indexed citations
8.
Devaraju, Balaji & Nico Sneeuw. (2017). The polar form of the spherical harmonic spectrum: implications for filtering grace data. Journal of Geodesy. 91(12). 1475–1489. 9 indexed citations
9.
Vishwakarma, Bramha Dutt, Balaji Devaraju, & Nico Sneeuw. (2016). Minimizing the effects of filtering on catchment scale GRACE solutions. Water Resources Research. 52(8). 5868–5890. 50 indexed citations
10.
Lorenz, Christof, Mohammad J. Tourian, Balaji Devaraju, Nico Sneeuw, & Harald Kunstmann. (2015). Basin‐scale runoff prediction: An Ensemble Kalman Filter framework based on global hydrometeorological data sets. Water Resources Research. 51(10). 8450–8475. 24 indexed citations
11.
Tourian, Mohammad J., et al.. (2014). A spaceborne multisensor approach to monitor the desiccation of Lake Urmia in Iran. Remote Sensing of Environment. 156. 349–360. 162 indexed citations
12.
Lorenz, Christof, et al.. (2014). Large-Scale Runoff from Landmasses: A Global Assessment of the Closure of the Hydrological and Atmospheric Water Balances*. Journal of Hydrometeorology. 15(6). 2111–2139. 73 indexed citations
13.
Sneeuw, Nico, Christof Lorenz, Balaji Devaraju, et al.. (2014). Estimating Runoff Using Hydro-Geodetic Approaches. Surveys in Geophysics. 35(6). 1333–1359. 63 indexed citations
14.
Vishwakarma, Bramha Dutt, Kamal Jain, Nico Sneeuw, & Balaji Devaraju. (2013). Mumbai 2005, Bihar 2008 Flood Reflected in Mass Changes Seen by GRACE Satellites. Journal of the Indian Society of Remote Sensing. 41(3). 687–695. 15 indexed citations
15.
Devaraju, Balaji, et al.. (2012). A stochastic framework for inequality constrained estimation. Journal of Geodesy. 86(11). 1005–1018. 13 indexed citations
16.
Tourian, Mohammad J., et al.. (2012). Analysis of grace uncertainties by hydrological and hydro-meteorological observations. Journal of Geodynamics. 59-60. 16–27. 32 indexed citations
17.
Fersch, Benjamin, Harald Kunstmann, András Bàrdossy, Balaji Devaraju, & Nico Sneeuw. (2012). Continental-Scale Basin Water Storage Variation from Global and Dynamically Downscaled Atmospheric Water Budgets in Comparison with GRACE-Derived Observations. Journal of Hydrometeorology. 13(5). 1589–1603. 15 indexed citations
18.
Tourian, Mohammad J., et al.. (2011). Outlier identification and correction for GRACE aggregated data. Studia Geophysica et Geodaetica. 55(4). 627–640. 3 indexed citations
19.
Fersch, Benjamin, Harald Kunstmann, Nico Sneeuw, & Balaji Devaraju. (2009). Large-scale water balance estimations through regional atmospheric moisture flux modelling and comparison to GRACE signals.. IAHS-AISH publication. 211–219. 1 indexed citations
20.
Lorenz, Christof, Balaji Devaraju, & Nico Sneeuw. (2009). On the computation of a reliable signal covariance for the stochastic filtering of time-variable gravity field from GRACE. EGUGA. 4677.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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