Shefali Agrawal

470 total citations
36 papers, 344 citations indexed

About

Shefali Agrawal is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Shefali Agrawal has authored 36 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Aerospace Engineering, 16 papers in Environmental Engineering and 10 papers in Atmospheric Science. Recurrent topics in Shefali Agrawal's work include Synthetic Aperture Radar (SAR) Applications and Techniques (17 papers), Advanced SAR Imaging Techniques (10 papers) and Soil Moisture and Remote Sensing (9 papers). Shefali Agrawal is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (17 papers), Advanced SAR Imaging Techniques (10 papers) and Soil Moisture and Remote Sensing (9 papers). Shefali Agrawal collaborates with scholars based in India, Netherlands and Germany. Shefali Agrawal's co-authors include Shashi Kumar, Matthieu Kervyn, Mohammad Abdul Quader, P. S. Roy, S. P. S. Kushwaha, P. K. Joshi, Sarnam Singh, S Raghavendra, Prakash Chauhan and Yoo‐Jeong Noh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Shefali Agrawal

34 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shefali Agrawal India 10 124 112 107 98 60 36 344
Claudia Pipitone Italy 9 104 0.8× 110 1.0× 101 0.9× 127 1.3× 43 0.7× 16 379
Shiv Mohan India 12 169 1.4× 130 1.2× 153 1.4× 61 0.6× 75 1.3× 38 365
Cristina Toledano France 3 94 0.8× 121 1.1× 34 0.3× 161 1.6× 86 1.4× 5 386
Karlis Zalite Estonia 10 230 1.9× 172 1.5× 172 1.6× 169 1.7× 105 1.8× 14 441
Shannon Franks United States 10 151 1.2× 271 2.4× 60 0.6× 250 2.6× 124 2.1× 22 485
Romain Rainaud France 4 96 0.8× 122 1.1× 34 0.3× 232 2.4× 147 2.5× 6 454
Sanga‐Ngoie Kazadi Japan 11 93 0.8× 152 1.4× 36 0.3× 157 1.6× 59 1.0× 22 321
Rajagopalan Rengarajan United States 9 69 0.6× 79 0.7× 91 0.9× 94 1.0× 85 1.4× 36 254
Jean-Paul Rudant France 9 129 1.0× 116 1.0× 89 0.8× 115 1.2× 52 0.9× 26 347
Isabella Pfeil Austria 9 313 2.5× 221 2.0× 86 0.8× 142 1.4× 197 3.3× 23 494

Countries citing papers authored by Shefali Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Shefali Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shefali Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Shefali Agrawal. A scholar is included among the top collaborators of Shefali Agrawal 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 Shefali Agrawal. Shefali Agrawal 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.
Agrawal, Shefali, et al.. (2023). Potential of EOS-4 imagery for SAR interferometry. Remote Sensing Applications Society and Environment. 32. 101010–101010.
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Agrawal, Shefali, et al.. (2022). Reduction in turbidity of Indian lakes through satellite imagery during COVID-19 induced lockdown. Spatial Information Research. 30(6). 715–727.
4.
Kumar, Vinay, et al.. (2022). Spectral mixture analysis of AVIRIS-NG hyperspectral data for material identification and classification for the part of Kolkata city. Advances in Space Research. 73(2). 1560–1572. 2 indexed citations
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Kumar, Shashi, et al.. (2022). Polarimetric analysis of L-band DFSAR data of Chandrayaan-2 mission for ice detection in permanently shadowed regions (PSRs) of lunar South polar craters. Advances in Space Research. 70(12). 4000–4029. 13 indexed citations
7.
Agrawal, Shefali, et al.. (2022). Geolocation accuracy improvement for NovaSAR-1 imagery acquired through TLE orbit. Geocarto International. 37(26). 12414–12435. 2 indexed citations
8.
Agrawal, Shefali, et al.. (2021). CNN TRANSFER LEARNING FOR DETECTION, COUNTING AND SEGMENTATION OF COCONUT PALMS FROM SATELLITE IMAGES. SHILAP Revista de lepidopterología. 11(4). 2475–2482. 2 indexed citations
9.
Kumar, Shashi, et al.. (2021). Polarimetric Calibration and Spatio‐Temporal Polarimetric Distortion Analysis of UAVSAR PolSAR Data. Earth and Space Science. 9(4). 7 indexed citations
10.
Raghavendra, S, et al.. (2020). Development of an Open-Source Tool for UAV Photogrammetric Data Processing. Journal of the Indian Society of Remote Sensing. 49(3). 659–664. 9 indexed citations
11.
Kumar, Shashi, et al.. (2020). PSInSAR-Based Surface Deformation Mapping of Angkor Wat Cultural Heritage Site. Journal of the Indian Society of Remote Sensing. 49(4). 827–842. 4 indexed citations
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Noh, Yoo‐Jeong, et al.. (2018). Dust Detection and Aerosol Properties Over Arabian Sea Using MODIS Data. Earth Systems and Environment. 3(1). 139–152. 14 indexed citations
14.
Agrawal, Shefali, et al.. (2018). Predicting Survival on Titanic by Applying Exploratory Data Analytics and Machine Learning Techniques. International Journal of Computer Applications. 179(44). 32–38. 8 indexed citations
15.
Kumar, Vinay, et al.. (2016). Simulation of the hyperspectral data using Multispectral data. 6157–6160. 6 indexed citations
16.
Kumar, Vinay, et al.. (2016). ALOS PALSAR and Hyperion Data Fusion for Land Use Land Cover Feature Extraction. Journal of the Indian Society of Remote Sensing. 45(3). 407–416. 6 indexed citations
17.
Kumar, Shashi, et al.. (2016). PolInSAR tomography for vertical profile retrieval of forest vegetation using spaceborne SAR data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9877. 987709–987709. 2 indexed citations
18.
Kumar, Shashi, et al.. (2016). Performance of PolSAR backscatter and PolInSAR coherence for scattering characterization of forest vegetation using TerraSAR-X data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9877. 987707–987707. 1 indexed citations
19.
Mehta, Manu, et al.. (2013). Evaluation of Indices and Parameters Obtained from Optical and Thermal Bands of Landsat 7 ETM+ for Mapping of Salt-affected Soils and Water-logged Areas. 12(4). 6 indexed citations
20.
Garg, Rahul, Shefali Agrawal, & V. K. Dadhwal. (2008). Evaluation of approaches for AWiFS multi-date registration. International Journal of Applied Earth Observation and Geoinformation. 10(2). 175–180. 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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