RAAJ Ramsankaran

2.4k total citations
74 papers, 1.2k citations indexed

About

RAAJ Ramsankaran is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, RAAJ Ramsankaran has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Atmospheric Science, 30 papers in Global and Planetary Change and 21 papers in Water Science and Technology. Recurrent topics in RAAJ Ramsankaran's work include Cryospheric studies and observations (27 papers), Hydrology and Watershed Management Studies (21 papers) and Climate change and permafrost (19 papers). RAAJ Ramsankaran is often cited by papers focused on Cryospheric studies and observations (27 papers), Hydrology and Watershed Management Studies (21 papers) and Climate change and permafrost (19 papers). RAAJ Ramsankaran collaborates with scholars based in India, United States and Australia. RAAJ Ramsankaran's co-authors include Amol Patil, Ankur Pandit, Ronita Bardhan, Robert J. Oglesby, Subimal Ghosh, Supantha Paul, Amey Pathak, Balaji Ramakrishnan, Antara Dasgupta and Jeffrey P. Walker and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

RAAJ Ramsankaran

67 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
RAAJ Ramsankaran India 19 660 604 348 287 118 74 1.2k
Federico Porcù Italy 25 902 1.4× 1.1k 1.7× 157 0.5× 383 1.3× 87 0.7× 61 1.6k
Bhaskar R. Nikam India 18 633 1.0× 247 0.4× 430 1.2× 371 1.3× 126 1.1× 62 981
Daniel Fiifi Tawia Hagan China 22 1.1k 1.7× 720 1.2× 324 0.9× 358 1.2× 96 0.8× 72 1.5k
M. Azarderakhsh United States 16 591 0.9× 314 0.5× 332 1.0× 301 1.0× 63 0.5× 23 1.1k
Zhane Yin China 15 1.1k 1.7× 584 1.0× 267 0.8× 266 0.9× 146 1.2× 22 1.4k
Weiqiang Ma China 25 1.3k 1.9× 1.3k 2.1× 377 1.1× 362 1.3× 120 1.0× 112 1.9k
K. J. Bormann United States 19 664 1.0× 1.3k 2.2× 377 1.1× 386 1.3× 89 0.8× 36 1.7k
Xiaoduo Pan China 19 633 1.0× 777 1.3× 360 1.0× 258 0.9× 148 1.3× 53 1.3k
Laurence Hawker United Kingdom 12 590 0.9× 349 0.6× 340 1.0× 311 1.1× 165 1.4× 19 1.1k
Ioulia Tchiguirinskaia France 18 801 1.2× 500 0.8× 394 1.1× 434 1.5× 52 0.4× 70 1.2k

Countries citing papers authored by RAAJ Ramsankaran

Since Specialization
Citations

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

Fields of papers citing papers by RAAJ Ramsankaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of RAAJ Ramsankaran

This figure shows the co-authorship network connecting the top 25 collaborators of RAAJ Ramsankaran. A scholar is included among the top collaborators of RAAJ Ramsankaran 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 RAAJ Ramsankaran. RAAJ Ramsankaran 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
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Bhat, Imtiyaz Ahmad, Irfan Rashid, RAAJ Ramsankaran, Argha Banerjee, & Saurabh Vijay. (2024). Inventorying rock glaciers in the Western Himalaya, India, and assessing their hydrological significance. Geomorphology. 471. 109514–109514. 2 indexed citations
4.
Ramsankaran, RAAJ, et al.. (2023). Reconstructing 32 years (1989–2020) of annual glacier surface mass balance in Chandra Basin, Western Himalayas, India. Regional Environmental Change. 23(4). 4 indexed citations
5.
Sahu, Rakesh, et al.. (2023). Remote sensing the evolution of debris-covered Panchi Nala-A glacier, India (1971-2021) from satellites and Unmanned Aerial Vehicles. Regional Environmental Change. 23(3). 9 indexed citations
6.
Ramsankaran, RAAJ, et al.. (2022). Spatially varying WIndow based maximum likelihood feature tracking (SWIFT) method for glacier surface velocity estimations. Geocarto International. 37(26). 13769–13796. 1 indexed citations
7.
Groh, Andreas, et al.. (2022). Scaling methods of leakage correction in GRACE mass change estimates revisited for the complex hydro-climatic setting of the Indus Basin. Hydrology and earth system sciences. 26(17). 4515–4535. 4 indexed citations
8.
Le, Manh‐Hung, Binh Quang Nguyen, Hung T. Pham, et al.. (2022). Assimilation of SMAP Products for Improving Streamflow Simulations over Tropical Climate Region—Is Spatial Information More Important Than Temporal Information?. Remote Sensing. 14(7). 1607–1607. 16 indexed citations
9.
Dasgupta, Antara, Renaud Hostache, RAAJ Ramsankaran, et al.. (2021). A Mutual Information‐Based Likelihood Function for Particle Filter Flood Extent Assimilation. Water Resources Research. 57(2). 20 indexed citations
10.
Dasgupta, Antara, Renaud Hostache, RAAJ Ramsankaran, et al.. (2021). On the Impacts of Observation Location, Timing, and Frequency on Flood Extent Assimilation Performance. Water Resources Research. 57(2). 16 indexed citations
11.
Ramsankaran, RAAJ, et al.. (2021). A simple machine learning approach to model real-time streamflow using satellite inputs: Demonstration in a data scarce catchment. Journal of Hydrology. 595. 126046–126046. 34 indexed citations
12.
Pandit, Ankur, et al.. (2021). Modelling ice thickness and storage volume of svalbard glaciers monitored through Indian Arctic Programme. Polar Science. 30. 100741–100741. 3 indexed citations
13.
Dasgupta, Antara, Renaud Hostache, RAAJ Ramsankaran, et al.. (2020). Optimizing SAR-based Flood Extent Assimilation for Improved Flood Inundation Forecasts. 1 indexed citations
14.
Dasgupta, Antara, et al.. (2019). Benchmarking the Indian National CartoDEM against SRTM for 1D hydraulic modelling. International Journal of River Basin Management. 17(4). 479–488. 4 indexed citations
15.
Ramsankaran, RAAJ, et al.. (2019). A Machine Learning Approach for Improving Near-Real-Time Satellite-Based Rainfall Estimates by Integrating Soil Moisture. Remote Sensing. 11(19). 2221–2221. 33 indexed citations
16.
Walker, Jeffrey P., Antara Dasgupta, Renaud Hostache, et al.. (2019). Optimizing Targeted SAR Acquisitions for Flood Extent Assimilation to Improve Inundation Forecasts. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
17.
Dasgupta, Antara, Stefania Grimaldi, RAAJ Ramsankaran, Valentijn Pauwels, & Jeffrey P. Walker. (2018). Towards operational SAR-based flood mapping using neuro-fuzzy texture-based approaches. Remote Sensing of Environment. 215. 313–329. 73 indexed citations
18.
Ramsankaran, RAAJ, et al.. (2017). Inter-comparison of remote sensing sensing-based shoreline mapping techniques at different coastal stretches of India. Environmental Monitoring and Assessment. 189(6). 290–290. 54 indexed citations
19.
Pandit, Ankur, Mayank Sharma, & RAAJ Ramsankaran. (2014). Comparison of the performance of the newly developed CDWM Filter with Enhanced LEE and Enhanced Frost Filters over the SAR image. 1–5. 3 indexed citations
20.

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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