Shreya Agrawal

1.3k citations
14 papers · 331 indexed · 2 hit papers · h-index 7
Topics
Meteorological Phenomena and Simulations (3 papers)Climate variability and models (3 papers)Precipitation Measurement and Analysis (2 papers)
Partner nations
IndiaUnited StatesCanada

In The Last Decade

Shreya Agrawal

12 papers receiving 314 citations

Hit Papers

Deep learning for twelve hour precipitation forecasts2022202620232024202220244080120

Peers

Shreya Agrawal
Comparison fields: 5 of 75
  • Atmospheric Science 155
  • Global and Planetary Change 127
  • Environmental Engineering 78
  • Artificial Intelligence 57
  • Computer Vision and Pattern Recognition 35
Replace Zhixin Qi with:
Zhixin Qi China
Manil Maskey United States
Kwangseob Kim South Korea
Kaijun Ren China
Jacob Høxbroe Jeppesen Denmark
Yuzhou Zhang China
S. Jyothi India
Amit Singh Chandel India
Lasse Espeholt United Kingdom
Shreya Agrawal relative to Zhixin Qi China Zhixin Qi's profile →
Citations per field
00.5×4.1×
Zhixin Qi · 1×
Citations per year

Countries citing papers authored by Shreya Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Shreya Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shreya Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Shreya Agrawal. A scholar is included among the top collaborators of Shreya 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 Shreya Agrawal. Shreya Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2
WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Modelsbreakdown →
82
3 0
4 1
5 10
6 1
7
Deep learning for twelve hour precipitation forecastsbreakdown →
145
8 19
9 1
10 2
11 38
12 6
13 9
14 16

About Shreya Agrawal

Shreya Agrawal is a scholar working on Signal Processing, Pharmacy and Molecular Medicine, having authored 14 papers that have together received 331 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (3 papers), Climate variability and models (3 papers) and Precipitation Measurement and Analysis (2 papers). The work is most often cited by research in Atmospheric Science (155 citations), Global and Planetary Change (127 citations) and Environmental Engineering (78 citations). Shreya Agrawal has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Jason Hickey, Carla Bromberg, Aaron J. Bell, Robert W. Carver, Manoj Kumar, Nal Kalchbrenner, Cenk Gazen, Lasse Espeholt, Marcin Andrychowicz and Jonathan Heek. Their work appears in journals such as Nature Communications, Biochimica et Biophysica Acta (BBA) - General Subjects and mBio.

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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