Sanjib Sharma

1.2k total citations
40 papers, 465 citations indexed

About

Sanjib Sharma is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Sanjib Sharma has authored 40 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 23 papers in Water Science and Technology and 15 papers in Atmospheric Science. Recurrent topics in Sanjib Sharma's work include Hydrology and Watershed Management Studies (22 papers), Flood Risk Assessment and Management (22 papers) and Hydrology and Drought Analysis (8 papers). Sanjib Sharma is often cited by papers focused on Hydrology and Watershed Management Studies (22 papers), Flood Risk Assessment and Management (22 papers) and Hydrology and Drought Analysis (8 papers). Sanjib Sharma collaborates with scholars based in United States, Nepal and China. Sanjib Sharma's co-authors include Alfonso Mejía, Ridwan Siddique, Rocky Talchabhadel, Seann Reed, Ganesh R. Ghimire, Peter Ahnert, Jeeban Panthi, Tirtha Raj Adhikari, Ben Seiyon Lee and Klaus Keller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Water Resources Research.

In The Last Decade

Sanjib Sharma

37 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjib Sharma United States 13 315 239 155 122 28 40 465
Byung Sik Kim South Korea 11 290 0.9× 215 0.9× 113 0.7× 110 0.9× 30 1.1× 61 430
Miyuru B. Gunathilake Sri Lanka 14 300 1.0× 242 1.0× 101 0.7× 155 1.3× 20 0.7× 41 475
Dinh Kha Dang Vietnam 11 311 1.0× 199 0.8× 104 0.7× 111 0.9× 37 1.3× 32 440
Ioannis M. Kourtis Greece 13 407 1.3× 255 1.1× 112 0.7× 191 1.6× 19 0.7× 20 510
Mohit Prakash Mohanty India 14 589 1.9× 300 1.3× 168 1.1× 120 1.0× 24 0.9× 34 657
P. E. Zope India 7 414 1.3× 183 0.8× 106 0.7× 141 1.2× 32 1.1× 8 479
Faisal Baig United Arab Emirates 15 333 1.1× 175 0.7× 110 0.7× 150 1.2× 10 0.4× 36 513
Elena Macdonald Germany 6 403 1.3× 224 0.9× 120 0.8× 65 0.5× 21 0.8× 9 493
Kevin Werner United States 12 430 1.4× 318 1.3× 193 1.2× 85 0.7× 23 0.8× 21 545
Agnieszka Rutkowska Poland 14 274 0.9× 210 0.9× 102 0.7× 88 0.7× 20 0.7× 37 433

Countries citing papers authored by Sanjib Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sanjib Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjib Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjib Sharma. A scholar is included among the top collaborators of Sanjib Sharma 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 Sanjib Sharma. Sanjib Sharma 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.
Sharma, Sanjib, et al.. (2025). Understanding spatiotemporal variation of heatwave projections across US cities. Scientific Reports. 15(1). 10643–10643. 1 indexed citations
2.
Chaudhary, Vijay, et al.. (2025). Ensemble learning for enhancing critical infrastructure resilience to urban flooding. Scientific Reports. 15(1). 36901–36901.
3.
Talchabhadel, Rocky, et al.. (2024). Rapid prediction of urban flooding at street-scale using physics-informed machine learning-based surrogate modeling. 12. 200116–200116. 4 indexed citations
4.
Sharma, Sanjib, et al.. (2024). Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin. International Journal of Digital Earth. 17(1). 25 indexed citations
5.
Sharma, Sanjib, et al.. (2024). Spatiotemporal characterization of heatwave exposure across historically vulnerable communities. Scientific Reports. 14(1). 20882–20882. 7 indexed citations
6.
Talchabhadel, Rocky, Shreedhar Maskey, Amrit Thapa, et al.. (2023). Multimodal multiscale characterization of cascading hazard on mountain terrain. Geomatics Natural Hazards and Risk. 14(1). 14 indexed citations
7.
Talchabhadel, Rocky, Jeeban Panthi, Ganesh R. Ghimire, et al.. (2023). Nepal Himalaya offers considerable potential for pumped storage hydropower. Sustainable Energy Technologies and Assessments. 60. 103423–103423. 14 indexed citations
8.
Sharma, Sanjib, Lorenzo Nava, Rocky Talchabhadel, et al.. (2022). Natural Hazards Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. Earth and Space Science. 9(1). 4 indexed citations
9.
Sharma, Sanjib, et al.. (2022). Toward More Actionable Flood‐Risk Information. Earth s Future. 10(11). 9 indexed citations
10.
Srikrishnan, Vivek, Tony E. Wong, Jonathan Lamontagne, et al.. (2022). Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems. Earth s Future. 10(8). 37 indexed citations
11.
Lee, Ben Seiyon, et al.. (2022). Flood hazard model calibration using multiresolution model output. Environmetrics. 34(2). 2 indexed citations
12.
Sharma, Sanjib, Rocky Talchabhadel, Santosh Nepal, et al.. (2022). Increasing risk of cascading hazards in the central Himalayas. Natural Hazards. 119(2). 1117–1126. 25 indexed citations
13.
Sharma, Sanjib, Ben Seiyon Lee, Robert E. Nicholas, & Klaus Keller. (2021). A Safety Factor Approach to Designing Urban Infrastructure for Dynamic Conditions. arXiv (Cornell University). 8 indexed citations
14.
Sharma, Sanjib, et al.. (2021). Nepal’s Communities Brace for Multihazard Risks. Eos. 102. 5 indexed citations
15.
Sharma, Sanjib, Heather E. Gall, Jorge Gironás, & Alfonso Mejía. (2019). Seasonal hydroclimatic ensemble forecasts anticipate nutrient and suspended sediment loads using a dynamical-statistical approach. Environmental Research Letters. 14(8). 84016–84016. 5 indexed citations
16.
Sharma, Sanjib, Ridwan Siddique, Seann Reed, et al.. (2018). Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system. Hydrology and earth system sciences. 22(3). 1831–1849. 27 indexed citations
17.
Sharma, Sanjib, et al.. (2018). Skill of ensemble flood inundation forecasts at short- to medium-range timescales. Journal of Hydrology. 568. 207–220. 24 indexed citations
18.
Sharma, Sanjib, Ridwan Siddique, José D. Fuentes, et al.. (2016). Eastern U.S. Verification of Ensemble Precipitation Forecasts. Weather and Forecasting. 32(1). 117–139. 28 indexed citations
19.
Sharma, Sanjib, et al.. (2012). Injection Water Breakthrough Patterns in Bassein Formation Of Heera Field-A Case Study, Western Offshore, India. SPE Oil and Gas India Conference and Exhibition. 2 indexed citations
20.
Ganju, Ashwagosha, et al.. (2000). Usefulness of mesoscale weather forecast for avalanche forecasting. Current Science. 88(6). 921–926. 11 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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