Shubhi Agrawal

898 total citations
20 papers, 567 citations indexed

About

Shubhi Agrawal is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Shubhi Agrawal has authored 20 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 10 papers in Atmospheric Science and 6 papers in Ecology. Recurrent topics in Shubhi Agrawal's work include Climate variability and models (7 papers), Meteorological Phenomena and Simulations (6 papers) and Remote Sensing in Agriculture (5 papers). Shubhi Agrawal is often cited by papers focused on Climate variability and models (7 papers), Meteorological Phenomena and Simulations (6 papers) and Remote Sensing in Agriculture (5 papers). Shubhi Agrawal collaborates with scholars based in India, United States and United Kingdom. Shubhi Agrawal's co-authors include P. S. Roy, Arindam Chakraborty, P. K. Joshi, Hugh Eva, Alan H. Strahler, Philippe Mayaux, E. E. de Miranda, Sergej Naumov, Carlos M. Di Bella and Javier Gallego and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Shubhi Agrawal

18 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shubhi Agrawal India 9 384 274 161 130 81 20 567
Brad Rundquist United States 13 302 0.8× 291 1.1× 101 0.6× 142 1.1× 76 0.9× 40 551
Calli B. Jenkerson United States 7 409 1.1× 429 1.6× 128 0.8× 237 1.8× 47 0.6× 10 692
Brookie Guzder-Williams United States 4 328 0.9× 268 1.0× 137 0.9× 168 1.3× 55 0.7× 7 590
J. Latham Italy 6 402 1.0× 335 1.2× 246 1.5× 196 1.5× 33 0.4× 12 713
S. P. Abercrombie United States 4 425 1.1× 303 1.1× 179 1.1× 164 1.3× 42 0.5× 11 608
Devendra Dahal United States 15 393 1.0× 419 1.5× 112 0.7× 194 1.5× 91 1.1× 36 658
Natalia Kolecka Poland 12 375 1.0× 255 0.9× 83 0.5× 209 1.6× 46 0.6× 23 688
Yecheng Yuan China 12 223 0.6× 172 0.6× 129 0.8× 74 0.6× 30 0.4× 27 381
Eugene A. Fosnight United States 5 477 1.2× 401 1.5× 127 0.8× 221 1.7× 85 1.0× 10 721
Karis Tenneson United States 10 312 0.8× 360 1.3× 94 0.6× 210 1.6× 40 0.5× 25 558

Countries citing papers authored by Shubhi Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Shubhi Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubhi Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Shubhi Agrawal. A scholar is included among the top collaborators of Shubhi 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 Shubhi Agrawal. Shubhi 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.
Geen, Ruth, et al.. (2023). The Relationship between Model Biases in East Asian Summer Monsoon Rainfall and Land Evaporation. Advances in Atmospheric Sciences. 40(11). 2029–2042. 3 indexed citations
2.
Geen, Ruth, F. Hugo Lambert, Shubhi Agrawal, et al.. (2023). Identification of the atmospheric water sources and pathways responsible for the East Asian summer monsoon rainfall. Quarterly Journal of the Royal Meteorological Society. 150(759). 763–775.
3.
Kulkarni, Prasad P., et al.. (2021). Low Power Extended Range Multi-Modulus Divider Using True-Single-Phase-Clock Logic. 14. 99–104. 5 indexed citations
4.
Agrawal, Shubhi, et al.. (2021). Teleconnections Governing the Interannual Variability of Great Plains Low-Level Jets in May. Journal of Climate. 34(12). 4785–4802. 3 indexed citations
5.
Ferguson, Craig R., Shubhi Agrawal, Mark Beauharnois, et al.. (2020). Assimilation of Satellite-Derived Soil Moisture for Improved Forecasts of the Great Plains Low-Level Jet. Monthly Weather Review. 148(11). 4607–4627. 7 indexed citations
6.
Agrawal, Shubhi & Arindam Chakraborty. (2020). Evaluation of ESACCI satellite soil moisture product using in-situ CTCZ observations over India. Journal of Earth System Science. 129(1). 8 indexed citations
7.
Kumar, Amit, et al.. (2019). Diagnostic utilisation of ground based imaging and non-imaging sensors for digital documentation of heritage sites. Digital Applications in Archaeology and Cultural Heritage. 15. e00117–e00117. 2 indexed citations
8.
Agrawal, Shubhi, et al.. (2019). Effects of winter and summer-time irrigation over Gangetic Plain on the mean and intra-seasonal variability of Indian summer monsoon. Climate Dynamics. 53(5-6). 3147–3166. 14 indexed citations
9.
10.
Agrawal, Shubhi, et al.. (2019). Analysis and Integration of Surface and Subsurface Information of Different Bridges. Journal of the Indian Society of Remote Sensing. 48(2). 315–331. 8 indexed citations
11.
Das, Pulakesh, Mukunda Dev Behera, Nitesh Patidar, et al.. (2018). Impact of LULC change on the runoff, base flow and evapotranspiration dynamics in eastern Indian river basins during 1985–2005 using variable infiltration capacity approach. Journal of Earth System Science. 127(2). 75 indexed citations
12.
George, Jemin, et al.. (2018). EFFECT OF DEM RESOLUTION ON LS FACTOR COMPUTATION. SHILAP Revista de lepidopterología. XLII-5. 315–321. 7 indexed citations
13.
Chakraborty, Arindam & Shubhi Agrawal. (2017). Role of west Asian surface pressure in summer monsoon onset over central India. Environmental Research Letters. 12(7). 74002–74002. 34 indexed citations
14.
15.
Agrawal, Shubhi, et al.. (2014). Sub pixel location identification using super resolved multilooking CHRIS data. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 463–468. 1 indexed citations
16.
Agrawal, Shubhi, et al.. (2014). Time-Series analysis of MODIS NDVI data along with ancillary data for Land use/Land cover mapping of Uttarakhand. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 1491–1500. 6 indexed citations
17.
Patel, N. R., V. K. Dadhwal, Shubhi Agrawal, & Sudip Saha. (2012). SATELLITE DRIVEN ESTIMATION OF PRIMARY PRODUCTIVITY OF AGROECOSYSTEMS IN INDIA. SHILAP Revista de lepidopterología. XXXVIII-8/W20. 134–139. 4 indexed citations
18.
Lele, Nikhil, P. K. Joshi, & Shubhi Agrawal. (2007). Assessing forest fragmentation in northeastern region (NER) of India using landscape matrices. Ecological Indicators. 8(5). 657–663. 46 indexed citations
19.
Mayaux, Philippe, Hugh Eva, Javier Gallego, et al.. (2006). Validation of the global land cover 2000 map. IEEE Transactions on Geoscience and Remote Sensing. 44(7). 1728–1739. 246 indexed citations
20.
Stibig, Hans‐Jürgen, Alan Belward, P. S. Roy, et al.. (2006). A land‐cover map for South and Southeast Asia derived from SPOT‐VEGETATION data. Journal of Biogeography. 34(4). 625–637. 84 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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