Pankaj Kumar Srivastava

804 total citations
23 papers, 580 citations indexed

About

Pankaj Kumar Srivastava is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Pankaj Kumar Srivastava has authored 23 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 7 papers in Environmental Engineering and 6 papers in Global and Planetary Change. Recurrent topics in Pankaj Kumar Srivastava's work include Flood Risk Assessment and Management (6 papers), Cryospheric studies and observations (5 papers) and Landslides and related hazards (5 papers). Pankaj Kumar Srivastava is often cited by papers focused on Flood Risk Assessment and Management (6 papers), Cryospheric studies and observations (5 papers) and Landslides and related hazards (5 papers). Pankaj Kumar Srivastava collaborates with scholars based in India, United Kingdom and Bahrain. Pankaj Kumar Srivastava's co-authors include Amit Bhattacharya, Debashis Mitra, Satish Kumar, Snehmani, T. J. Majumdar, Mritunjay Kumar Singh, Sudhir Kumar Chaturvedi, Jürgen Mahlknecht, Manish Kumar and Bhaskar Jyoti Deka and has published in prestigious journals such as International Journal of Remote Sensing, Environmental Research and Water.

In The Last Decade

Pankaj Kumar Srivastava

20 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pankaj Kumar Srivastava India 11 335 249 142 139 125 23 580
Racha Elkadiri United States 13 214 0.6× 218 0.9× 123 0.9× 166 1.2× 95 0.8× 20 585
Victor J. Loveson India 10 186 0.6× 247 1.0× 127 0.9× 96 0.7× 60 0.5× 34 507
Pascal Castellazzi Australia 12 265 0.8× 155 0.6× 95 0.7× 137 1.0× 130 1.0× 28 774
Prashant Kumar Champati Ray India 14 174 0.5× 132 0.5× 106 0.7× 149 1.1× 138 1.1× 23 580
Ahmed Gaber Egypt 15 255 0.8× 114 0.5× 90 0.6× 89 0.6× 65 0.5× 53 585
Suresh Kannaujiya India 15 205 0.6× 173 0.7× 107 0.8× 114 0.8× 138 1.1× 40 707
Jaime Gárfias Mexico 13 343 1.0× 92 0.4× 98 0.7× 125 0.9× 144 1.2× 41 775
Avtar Singh Jasrotia India 16 540 1.6× 343 1.4× 394 2.8× 312 2.2× 133 1.1× 31 1.1k
Jack Eggleston United States 13 248 0.7× 198 0.8× 174 1.2× 111 0.8× 21 0.2× 23 587
Ramiro Pillco Zolá Bolivia 15 222 0.7× 394 1.6× 253 1.8× 434 3.1× 35 0.3× 30 842

Countries citing papers authored by Pankaj Kumar Srivastava

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Kumar Srivastava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pankaj Kumar Srivastava. 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 Pankaj Kumar Srivastava. The network helps show where Pankaj Kumar Srivastava may publish in the future.

Co-authorship network of co-authors of Pankaj Kumar Srivastava

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Kumar Srivastava. A scholar is included among the top collaborators of Pankaj Kumar Srivastava 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 Pankaj Kumar Srivastava. Pankaj Kumar Srivastava 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.
2.
Srivastava, Pankaj Kumar, et al.. (2025). A Systematic Literature Review of MODFLOW Combined with Artificial Neural Networks (ANNs) for Groundwater Flow Modelling. Water. 17(16). 2375–2375. 1 indexed citations
3.
Srivastava, Pankaj Kumar, et al.. (2025). Advancing climate change Research: Robust methodology for precise mapping of sea level rise using satellite-derived bathymetry and the google Earth Engine API. Remote Sensing Applications Society and Environment. 38. 101557–101557. 1 indexed citations
4.
Srivastava, Pankaj Kumar, et al.. (2024). Review of glacier velocity and facies characterization techniques using multi-sensor approach. Environment Development and Sustainability. 27(8). 17753–17804. 2 indexed citations
5.
6.
Srivastava, Pankaj Kumar, et al.. (2024). Quantifying soil erosion dynamics in lower Subansiri Basin, Assam, India, using the RUSLE model. Journal of Sedimentary Environments.
7.
Srivastava, Pankaj Kumar, et al.. (2023). Preliminary examination of influence of Chlorophyll, Total Suspended Material, and Turbidity on Satellite Derived-Bathymetry estimation in coastal turbid water. Regional Studies in Marine Science. 62. 102920–102920. 12 indexed citations
8.
Misra, Saumitra, et al.. (2023). An alternative view on size and impact history of Ramgarh Crater, India: Evidence from high-resolution remote sensing imagery and gravity data. Journal of Earth System Science. 132(2). 1 indexed citations
9.
Srivastava, Pankaj Kumar, et al.. (2023). A Review of Numerical Models for Sediment Dynamics. Lecture notes in electrical engineering. 61–68.
10.
Kumar, Manish, et al.. (2022). EI/IOT of PFCs: Environmental impacts/interactions, occurrences, and toxicities of perfluorochemicals. Environmental Research. 218. 114707–114707. 22 indexed citations
11.
Srivastava, Pankaj Kumar, et al.. (2021). Review of near-shore satellite derived bathymetry: Classification and account of five decades of coastal bathymetry research. Journal of Ocean Engineering and Science. 6(4). 340–359. 115 indexed citations
12.
Chaturvedi, Sudhir Kumar, et al.. (2019). Measurement and validation of tsunami Eigen values for the various water wave conditions. Journal of Ocean Engineering and Science. 5(1). 41–54. 8 indexed citations
13.
Sharma, P. K., et al.. (2017). Landform Evolution of the Zanskar Valley, Ladakh Himalaya.. AGU Fall Meeting Abstracts. 2017. 2 indexed citations
14.
Kumar, Satish, Pankaj Kumar Srivastava, & Snehmani. (2017). Geospatial Modelling and Mapping of Snow Avalanche Susceptibility. Journal of the Indian Society of Remote Sensing. 46(1). 109–119. 25 indexed citations
15.
Kumar, Satish, et al.. (2016). Fuzzy–frequency ratio model for avalanche susceptibility mapping. International Journal of Digital Earth. 9(12). 1168–1184. 27 indexed citations
16.
Chaturvedi, Sudhir Kumar, et al.. (2016). Measurement of Tsunami Wave Eigenfunctions in Deep, Intermediate and Shallower Regions. Current Science. 110(12). 2292–2292. 3 indexed citations
17.
Kumar, Satish, Pankaj Kumar Srivastava, & Snehmani. (2016). GIS-based MCDA–AHP modelling for avalanche susceptibility mapping of Nubra valley region, Indian Himalaya. Geocarto International. 32(11). 1254–1267. 50 indexed citations
18.
Srivastava, Pankaj Kumar, T. J. Majumdar, & Amit Bhattacharya. (2010). Study of land surface temperature and spectral emissivity using multi-sensor satellite data. Journal of Earth System Science. 119(1). 67–74. 39 indexed citations
19.
Srivastava, Pankaj Kumar & Amit Bhattacharya. (2006). Groundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: a case study from a hard rock terrain. International Journal of Remote Sensing. 27(20). 4599–4620. 190 indexed citations
20.
Srivastava, Pankaj Kumar & Amit Bhattacharya. (2000). Delineation of ground water potential zones in a hard Rock Terrain of Bargarh District, Orissa using IRS data. Journal of the Indian Society of Remote Sensing. 28(2-3). 129–140. 34 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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