Sorab Panday

2.9k total citations · 1 hit paper
51 papers, 2.2k citations indexed

About

Sorab Panday is a scholar working on Environmental Engineering, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Sorab Panday has authored 51 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Environmental Engineering, 16 papers in Civil and Structural Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Sorab Panday's work include Groundwater flow and contamination studies (38 papers), Soil and Unsaturated Flow (16 papers) and Hydraulic Fracturing and Reservoir Analysis (14 papers). Sorab Panday is often cited by papers focused on Groundwater flow and contamination studies (38 papers), Soil and Unsaturated Flow (16 papers) and Hydraulic Fracturing and Reservoir Analysis (14 papers). Sorab Panday collaborates with scholars based in United States, Canada and India. Sorab Panday's co-authors include Peter S. Huyakorn, Richard G. Niswonger, Motomu Ibaraki, Christian D. Langevin, Joseph D. Hughes, M. Yavuz Corapcioglu, Alden M. Provost, W. W. Wallender, Edward R. Banta and C. A. Young and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Water Resources Research and Journal of Hydrology.

In The Last Decade

Sorab Panday

50 papers receiving 2.0k citations

Hit Papers

MODFLOW-NWT, a Newton formulation for MODFLOW-2005 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sorab Panday United States 21 1.4k 1.1k 508 431 408 51 2.2k
Xunhong Chen United States 30 1.6k 1.1× 1.2k 1.1× 519 1.0× 495 1.1× 208 0.5× 89 2.4k
Adrian P. Butler United Kingdom 30 1.1k 0.8× 749 0.7× 361 0.7× 447 1.0× 455 1.1× 103 2.3k
W. D. Graham United States 33 1.8k 1.2× 784 0.7× 661 1.3× 577 1.3× 501 1.2× 108 3.3k
Boris Faybishenko United States 26 1.0k 0.7× 452 0.4× 401 0.8× 260 0.6× 232 0.6× 93 1.9k
David E. Prudic United States 19 1.7k 1.2× 1.7k 1.6× 402 0.8× 858 2.0× 285 0.7× 55 2.6k
E. Ledoux France 28 1.5k 1.0× 1.1k 1.0× 532 1.0× 632 1.5× 294 0.7× 75 3.0k
Stanley A. Leake United States 21 1.0k 0.7× 911 0.9× 188 0.4× 536 1.2× 441 1.1× 57 1.9k
Paul M. Barlow United States 20 1.3k 0.9× 1.1k 1.0× 227 0.4× 847 2.0× 458 1.1× 46 2.2k
Marijke Huysmans Belgium 26 1.0k 0.7× 669 0.6× 256 0.5× 361 0.8× 307 0.8× 108 2.2k
Bhavna Arora United States 24 1.1k 0.7× 464 0.4× 279 0.5× 376 0.9× 180 0.4× 86 2.1k

Countries citing papers authored by Sorab Panday

Since Specialization
Citations

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

Fields of papers citing papers by Sorab Panday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sorab Panday. 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 Sorab Panday. The network helps show where Sorab Panday may publish in the future.

Co-authorship network of co-authors of Sorab Panday

This figure shows the co-authorship network connecting the top 25 collaborators of Sorab Panday. A scholar is included among the top collaborators of Sorab Panday 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 Sorab Panday. Sorab Panday 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.
Newell, Charles J., et al.. (2024). Modeling and Evaluation of PFOS Retention in the Unsaturated Zone above the Water Table. Groundwater Monitoring & Remediation. 44(3). 38–48. 5 indexed citations
2.
Collenteur, Raoul, et al.. (2024). Time Series Analysis of Nonlinear Head Dynamics Using Synthetic Data Generated with a Variably Saturated Model. Ground Water. 62(5). 748–760. 3 indexed citations
3.
Langevin, Christian D., et al.. (2023). MODFLOW as a Configurable Multi‐Model Hydrologic Simulator. Ground Water. 62(1). 111–123. 5 indexed citations
4.
Langevin, Christian D., Alden M. Provost, Sorab Panday, & Joseph D. Hughes. (2022). Documentation for the MODFLOW 6 Groundwater Transport Model. Techniques and methods. 19 indexed citations
5.
Antelmi, Matteo, et al.. (2022). Innovative numerical procedure for simulating borehole heat exchangers operation and interpreting thermal response test through MODFLOW-USG code. Journal of Hydrology. 614. 128556–128556. 18 indexed citations
6.
Langevin, Christian D., Joseph D. Hughes, Edward R. Banta, et al.. (2017). Documentation for the MODFLOW 6 Groundwater Flow Model. Techniques and methods. 181 indexed citations
7.
Langevin, Christian D., Joseph D. Hughes, Edward R. Banta, et al.. (2017). MODFLOW 6, the U.S. Geological Survey Modular Hydrologic Model. USGS DOI Tool Production Environment. 38 indexed citations
8.
Langevin, Christian D. & Sorab Panday. (2012). Future of Groundwater Modeling. Ground Water. 50(3). 334–339. 17 indexed citations
9.
Niswonger, Richard G., et al.. (2011). Approaches to the Simulation of Unconfined Flow and Perched Groundwater Flow in MODFLOW. Ground Water. 50(2). 187–198. 31 indexed citations
10.
Misra, Chaitali, et al.. (2011). Dynamic Subtiming-Based Implicit Nonoscillating Scheme for Contaminant Transport Modeling. Journal of Hydrologic Engineering. 17(6). 694–703. 3 indexed citations
11.
Panday, Sorab, et al.. (2009). Managing Salinity in the Upper Santa Clara River System of California. World Environmental and Water Resources Congress 2009. 1–10. 1 indexed citations
12.
Park, Youngjin, et al.. (2009). Implicit Subtime Stepping for Solving Nonlinear Flow Equations in an Integrated Surface–Subsurface System. Vadose Zone Journal. 8(4). 825–836. 20 indexed citations
13.
Maneta, Marco, Marcelo Torres, W. W. Wallender, et al.. (2009). A spatially distributed hydroeconomic model to assess the effects of drought on land use, farm profits, and agricultural employment. Water Resources Research. 45(11). 79 indexed citations
14.
Maneta, Marco, Susanne Schnabel, W. W. Wallender, Sorab Panday, & Victor Jetten. (2008). Calibration of an evapotranspiration model to simulate soil water dynamics in a semiarid rangeland. Hydrological Processes. 22(24). 4655–4669. 19 indexed citations
15.
Sudicky, E. A., et al.. (2006). Transition Probability/Markov Chain Analyses of DNAPL Source Zones and Plumes. Ground Water. 44(6). 853–863. 21 indexed citations
16.
Schoups, Gerrit, J. W. Hopmans, C. A. Young, et al.. (2005). Sustainability of irrigated agriculture in the San Joaquin Valley, California. Proceedings of the National Academy of Sciences. 102(43). 15352–15356. 230 indexed citations
17.
Panday, Sorab & Peter S. Huyakorn. (2004). A fully coupled physically-based spatially-distributed model for evaluating surface/subsurface flow. Advances in Water Resources. 27(4). 361–382. 406 indexed citations
18.
Panday, Sorab, et al.. (1997). A composite numerical model for assessing subsurface transport of oily wastes and chemical constituents. Journal of Contaminant Hydrology. 25(1-2). 39–62. 21 indexed citations
20.
Panday, Sorab, et al.. (1993). Improved three-dimensional finite-element techniques for field simulation of variably saturated flow and transport. Journal of Contaminant Hydrology. 12(1-2). 3–33. 44 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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