Ankit Agarwal

3.3k total citations
114 papers, 2.1k citations indexed

About

Ankit Agarwal is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Ankit Agarwal has authored 114 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Global and Planetary Change, 38 papers in Atmospheric Science and 26 papers in Water Science and Technology. Recurrent topics in Ankit Agarwal's work include Climate variability and models (45 papers), Flood Risk Assessment and Management (24 papers) and Meteorological Phenomena and Simulations (24 papers). Ankit Agarwal is often cited by papers focused on Climate variability and models (45 papers), Flood Risk Assessment and Management (24 papers) and Meteorological Phenomena and Simulations (24 papers). Ankit Agarwal collaborates with scholars based in India, Germany and United States. Ankit Agarwal's co-authors include Maheswaran Rathinasamy, Ravi Kumar Guntu, Jürgen Kurths, Norbert Marwan, Bruno Merz, Bellie Sivakumar, Roopam Shukla, P. K. Joshi, Kamna Sachdeva and Mukul Kulshrestha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Ankit Agarwal

100 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankit Agarwal India 30 1.2k 640 488 438 151 114 2.1k
Yuhu Zhang China 25 852 0.7× 335 0.5× 536 1.1× 449 1.0× 83 0.5× 74 2.2k
Yun Li China 31 1.3k 1.1× 988 1.5× 152 0.3× 274 0.6× 149 1.0× 127 2.8k
Huifang Zhang China 26 1.0k 0.8× 487 0.8× 315 0.6× 405 0.9× 144 1.0× 99 2.2k
Ali Danandeh Mehr Türkiye 33 1.6k 1.3× 317 0.5× 1.4k 3.0× 1.8k 4.0× 46 0.3× 115 3.3k
Hone‐Jay Chu Taiwan 31 880 0.7× 389 0.6× 575 1.2× 854 1.9× 489 3.2× 142 3.1k
Carey W. King United States 26 407 0.3× 140 0.2× 795 1.6× 527 1.2× 108 0.7× 68 2.1k
George Z. Gertner United States 31 975 0.8× 173 0.3× 581 1.2× 978 2.2× 107 0.7× 101 3.0k
Kun Zhang China 26 1.1k 0.9× 256 0.4× 558 1.1× 252 0.6× 222 1.5× 106 2.0k
Kai Liu China 27 921 0.8× 480 0.8× 153 0.3× 601 1.4× 79 0.5× 218 2.8k
Wenyan Wu Australia 28 1.1k 0.9× 558 0.9× 1.0k 2.1× 913 2.1× 38 0.3× 105 2.5k

Countries citing papers authored by Ankit Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Agarwal. A scholar is included among the top collaborators of Ankit Agarwal 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 Ankit Agarwal. Ankit Agarwal 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.
Guntu, Ravi Kumar, et al.. (2025). Changing spatiotemporal dependence of the precipitation-temperature during Indian Summer Monsoon using observational and CMIP6 model simulations. Journal of Hydrology Regional Studies. 57. 102169–102169.
2.
Agarwal, Ankit, et al.. (2025). Impact of spring sea ice variability in the Barents–Kara region on the Indian Summer Monsoon Rainfall. Scientific Reports. 15(1). 37790–37790. 1 indexed citations
3.
Agarwal, Ankit, et al.. (2025). Arctic sea ice variability and its multiscale association with Indian summer monsoon rainfall at different time scales. Journal of Hydrology. 653. 132729–132729. 3 indexed citations
4.
Agarwal, Ankit, et al.. (2025). An Hourly Dataset of Moisture Budget Components Over the Indian Subcontinent (1940–2024). Scientific Data. 12(1). 1770–1770.
5.
6.
Trigo, Ricardo M., et al.. (2025). Quantifying Multi‐Day Precipitation Extremes and Their Linkages With Atmospheric Moisture Flux Over India. International Journal of Climatology. 45(5).
7.
Agarwal, Ankit, et al.. (2024). Multiscale dynamics of transient merging between western disturbances and monsoonal lows: Connections to the July 2023 flood in Himachal Pradesh. Atmospheric Research. 304. 107401–107401. 14 indexed citations
8.
Agarwal, Ankit, et al.. (2024). Extreme precipitation events in the Brahmaputra River basin during the Indian summer monsoon and its association with atmospheric moisture transport. Journal of Water and Climate Change. 15(8). 3506–3521. 2 indexed citations
9.
Guntu, Ravi Kumar, Bruno Merz, & Ankit Agarwal. (2023). Increased likelihood of compound dry and hot extremes in India. Atmospheric Research. 290. 106789–106789. 21 indexed citations
10.
Hoffmann, Peter, et al.. (2023). GPU-based, interactive exploration of large spatiotemporal climate networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(4). 1 indexed citations
11.
Agarwal, Ankit, et al.. (2022). A complex network approach to study the extreme precipitation patterns in a river basin. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(1). 13113–13113. 25 indexed citations
12.
Kumar, Satish, Ankit Agarwal, Srinivas Pasupuleti, et al.. (2021). Impact of climate change on stormwater drainage in urban areas. Stochastic Environmental Research and Risk Assessment. 36(1). 77–96. 29 indexed citations
13.
Kumar, Satish, Ankit Agarwal, Srinivas Pasupuleti, et al.. (2021). Constructed wetland management in urban catchments for mitigating floods. Stochastic Environmental Research and Risk Assessment. 35(10). 2105–2124. 15 indexed citations
14.
Rathinasamy, Maheswaran, et al.. (2021). Intercomparison of downscaling methods for daily precipitation with emphasis on wavelet-based hybrid models. Journal of Hydrology. 599. 126373–126373. 21 indexed citations
15.
Guntu, Ravi Kumar, Maheswaran Rathinasamy, Ankit Agarwal, & Bellie Sivakumar. (2020). Spatiotemporal variability of Indian rainfall using multiscale entropy. Journal of Hydrology. 587. 124916–124916. 53 indexed citations
16.
Guntu, Ravi Kumar, Maheswaran Rathinasamy, Matjaž Perc, et al.. (2020). Wavelet entropy-based evaluation of intrinsic predictability of time series. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(3). 33117–33117. 47 indexed citations
17.
Rathinasamy, Maheswaran, Ankit Agarwal, Bellie Sivakumar, Norbert Marwan, & Jürgen Kurths. (2019). Wavelet analysis of precipitation extremes over India and teleconnections to climate indices. Stochastic Environmental Research and Risk Assessment. 33(11-12). 2053–2069. 72 indexed citations
18.
Agarwal, Ankit, et al.. (2017). The Braunsbach Flashflood of May 29, 2016: A forensic analysis of the meteorological origin and the hydrological development an extreme hydro-meteorological event. EGUGA. 2942. 1 indexed citations
19.
Agarwal, Ankit, Maheswaran Rathinasamy, Vinit Sehgal, et al.. (2016). Hydrologic regionalization using wavelet-based multiscale entropy method. Journal of Hydrology. 538. 22–32. 96 indexed citations
20.
Agarwal, Ankit, et al.. (2011). RFID Based Automatic Shopping Cart. 1(1). 39–44. 9 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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