Sujoy B. Roy

1.4k total citations
47 papers, 1.1k citations indexed

About

Sujoy B. Roy is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Sujoy B. Roy has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 15 papers in Environmental Engineering and 11 papers in Global and Planetary Change. Recurrent topics in Sujoy B. Roy's work include Hydrology and Watershed Management Studies (11 papers), Groundwater flow and contamination studies (11 papers) and Water resources management and optimization (7 papers). Sujoy B. Roy is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), Groundwater flow and contamination studies (11 papers) and Water resources management and optimization (7 papers). Sujoy B. Roy collaborates with scholars based in United States, Australia and Ethiopia. Sujoy B. Roy's co-authors include David A. Dzombak, Limin Chen, Paul H. Hutton, Richard G. Luthy, Thomas M. Grieb, William B. Mills, Edwin P. Maurer, Catherine A. Peters, Babu R. Nott and David V. Nakles and has published in prestigious journals such as Environmental Science & Technology, Journal of Climate and Climatic Change.

In The Last Decade

Sujoy B. Roy

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujoy B. Roy United States 18 450 431 222 188 179 47 1.1k
Tamara Ivahnenko United States 11 434 1.0× 260 0.6× 95 0.4× 184 1.0× 156 0.9× 23 923
A. Yakirevich Israel 22 400 0.9× 615 1.4× 173 0.8× 85 0.5× 107 0.6× 57 1.1k
Greg Bickerton Canada 20 184 0.4× 378 0.9× 404 1.8× 199 1.1× 320 1.8× 32 1.3k
Shashank Shekhar India 22 893 2.0× 521 1.2× 90 0.4× 128 0.7× 112 0.6× 64 1.6k
Frido Reinstorf Germany 15 785 1.7× 828 1.9× 352 1.6× 87 0.5× 243 1.4× 34 1.5k
Christian Moeck Switzerland 18 623 1.4× 678 1.6× 130 0.6× 95 0.5× 66 0.4× 34 1.2k
Roy R. Gu United States 13 778 1.7× 243 0.6× 269 1.2× 86 0.5× 145 0.8× 24 1.3k
Leslie A. DeSimone United States 16 410 0.9× 457 1.1× 133 0.6× 57 0.3× 124 0.7× 31 975
Olivier Atteia France 20 160 0.4× 525 1.2× 206 0.9× 191 1.0× 103 0.6× 67 1.1k
María Vicenta Esteller Alberich Mexico 18 275 0.6× 259 0.6× 165 0.7× 70 0.4× 76 0.4× 61 891

Countries citing papers authored by Sujoy B. Roy

Since Specialization
Citations

This map shows the geographic impact of Sujoy B. Roy'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 Sujoy B. Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujoy B. Roy more than expected).

Fields of papers citing papers by Sujoy B. Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujoy B. Roy. 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 Sujoy B. Roy. The network helps show where Sujoy B. Roy may publish in the future.

Co-authorship network of co-authors of Sujoy B. Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Sujoy B. Roy. A scholar is included among the top collaborators of Sujoy B. Roy 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 Sujoy B. Roy. Sujoy B. Roy 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.
Hutton, Paul H., et al.. (2025). Inferring Trends and Temperature Sensitivities Using Regression‐Based Unimpaired Runoff to San Francisco Estuary, 1872–2022. JAWRA Journal of the American Water Resources Association. 61(5).
2.
Hutton, Paul H., et al.. (2023). A Simplified Approach for Estimating Ionic Concentrations from Specific Conductance Data in the San Francisco Estuary. San Francisco Estuary and Watershed Science. 21(4). 1 indexed citations
3.
Hutton, Paul H. & Sujoy B. Roy. (2023). Extension of the Practical Salinity Scale to Estimate Major Ion Concentrations: Application to the San Francisco Estuary. Estuaries and Coasts. 46(6). 1375–1386. 1 indexed citations
4.
Hutton, Paul H., et al.. (2022). The Municipal Water Quality Investigations Program: A Retrospective Overview of the Program’s First Three Decades. Water. 14(21). 3426–3426. 6 indexed citations
5.
Roy, Sujoy B., et al.. (2021). Salinity trends in Suisun Bay and the western Delta: October 1921 - September 2012. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 1 indexed citations
6.
7.
Rath, Jan, et al.. (2021). A Survey of X2 Isohaline Empirical Models for the San Francisco Estuary. San Francisco Estuary and Watershed Science. 19(4). 4 indexed citations
8.
Hutton, Paul H. & Sujoy B. Roy. (2019). Characterizing Early 20th Century Outflow and Salinity Intrusion in the San Francisco Estuary. San Francisco Estuary and Watershed Science. 17(2). 4 indexed citations
9.
Kannan, Narayanan, et al.. (2019). Estimating Crop Consumption of Irrigation Water for the Conterminous U.S.. Transactions of the ASABE. 62(4). 985–1002. 3 indexed citations
10.
Hutton, Paul H., et al.. (2017). Freshwater flow to the San Francisco Bay‐Delta estuary over nine decades (Part 2): Change attribution. Hydrological Processes. 31(14). 2516–2529. 12 indexed citations
11.
Caldwell, Rebecca L., et al.. (2017). Controls on delta formation, area, and topset slope: New predictive relationships developed using a global delta dataset. AGUFM. 2017. 1 indexed citations
12.
Hutton, Paul H., et al.. (2017). A hybrid empirical-Bayesian artificial neural network model of salinity in the San Francisco Bay-Delta estuary. Environmental Modelling & Software. 93. 193–208. 36 indexed citations
13.
Bachand, Philip A.M., et al.. (2014). Implications of Using On-Farm Flood Flow Capture To Recharge Groundwater and Mitigate Flood Risks Along the Kings River, CA. Environmental Science & Technology. 48(23). 13601–13609. 48 indexed citations
14.
Johnson, Paula I., Richard M. Gersberg, Mark C. Rigby, & Sujoy B. Roy. (2009). The fate of selenium in the Imperial and Brawley constructed wetlands in the Imperial Valley (California). Ecological Engineering. 35(5). 908–913. 18 indexed citations
15.
Conaway, Christopher H., Frank J. Black, Thomas M. Grieb, Sujoy B. Roy, & A. Russell Flegal. (2007). Mercury in the San Francisco Estuary. Reviews of Environmental Contamination and Toxicology. 194. 29–54. 30 indexed citations
16.
Roy, Sujoy B., et al.. (2004). Water Sustainability in the United States and Cooling Water Requirements for Power Generation. OpenSIUC (Southern Illinois University Carbondale). 127(1). 12. 7 indexed citations
17.
Roy, Sujoy B. & David A. Dzombak. (1996). Na+Ca2+ Exchange effects in the detachment of latex colloids deposited in glass bead porous media. Colloids and Surfaces A Physicochemical and Engineering Aspects. 119(2-3). 133–139. 26 indexed citations
18.
Dzombak, David A., et al.. (1993). Air‐Stripper Design and Costing Computer Program. American Water Works Association. 85(10). 63–72. 11 indexed citations
19.
Luthy, Richard G., David A. Dzombak, Catherine A. Peters, A. F. Ali, & Sujoy B. Roy. (1992). Solvent extraction for remediation of coal tar sites. Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
20.
Dzombak, David A., et al.. (1991). ASDC: A Microcomputer-Based Program for Air Stripper Design and Costing. Defense Technical Information Center (DTIC). 2 indexed citations

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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