Ila Chawla

1.3k total citations · 1 hit paper
8 papers, 870 citations indexed

About

Ila Chawla is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Ila Chawla has authored 8 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 5 papers in Water Science and Technology and 3 papers in Atmospheric Science. Recurrent topics in Ila Chawla's work include Hydrology and Watershed Management Studies (5 papers), Flood Risk Assessment and Management (4 papers) and Climate variability and models (3 papers). Ila Chawla is often cited by papers focused on Hydrology and Watershed Management Studies (5 papers), Flood Risk Assessment and Management (4 papers) and Climate variability and models (3 papers). Ila Chawla collaborates with scholars based in India and United States. Ila Chawla's co-authors include L. Karthikeyan, Ashok K. Mishra, P. P. Mujumdar, Dev Niyogi, Krishna K. Osuri, P. P. Mujumdar, Manoj Kumar, Tom Thomas and Anjan Kumar and has published in prestigious journals such as Journal of Hydrology, Hydrology and earth system sciences and Advances in Water Resources.

In The Last Decade

Ila Chawla

8 papers receiving 856 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses

2020 324 citations L. Karthikeyan, Ila Chawla et al. Journal of Hydrology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ila Chawla India	7	468	329	238	238	203	8	870
Chaolei Zheng China	17	650 1.4×	283 0.9×	222 0.9×	186 0.8×	190 0.9×	53	880
Ankur Srivastava Australia	15	617 1.3×	410 1.2×	168 0.7×	318 1.3×	206 1.0×	54	948
Jorge A. Ramírez Colombia	15	683 1.5×	313 1.0×	274 1.2×	91 0.4×	115 0.6×	42	923
Tiexi Chen China	17	642 1.4×	177 0.5×	243 1.0×	173 0.7×	148 0.7×	51	872
John R. Mecikalski United States	14	1.0k 2.2×	242 0.7×	418 1.8×	417 1.8×	187 0.9×	20	1.3k
A. Ershadi Saudi Arabia	9	1.0k 2.2×	574 1.7×	248 1.0×	266 1.1×	135 0.7×	14	1.2k
Lori A. Schultz United States	9	634 1.4×	161 0.5×	292 1.2×	309 1.3×	146 0.7×	26	919
Anderson Ruhoff Brazil	17	780 1.7×	519 1.6×	160 0.7×	244 1.0×	225 1.1×	57	1.1k
Vincent Rivalland France	15	496 1.1×	178 0.5×	213 0.9×	349 1.5×	139 0.7×	36	767

Countries citing papers authored by Ila Chawla

Since Specialization

Citations

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

Fields of papers citing papers by Ila Chawla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ila Chawla

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Mujumdar, P. P., et al.. (2021). Development of an urban flood model for Bengaluru city, Karnataka, India. Current Science. 120(9). 1441–1441. 8 indexed citations

2.

Chawla, Ila, L. Karthikeyan, & Ashok K. Mishra. (2020). A review of remote sensing applications for water security: Quantity, quality, and extremes. Journal of Hydrology. 585. 124826–124826. 225 indexed citations

3.

Chawla, Ila & P. P. Mujumdar. (2020). Evaluating rainfall datasets to reconstruct floods in data-sparse Himalayan region. Journal of Hydrology. 588. 125090–125090. 20 indexed citations

4.

Karthikeyan, L., Ila Chawla, & Ashok K. Mishra. (2020). A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses. Journal of Hydrology. 586. 124905–124905. 324 indexed citations breakdown →

5.

Chawla, Ila, Krishna K. Osuri, P. P. Mujumdar, & Dev Niyogi. (2018). Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin. Hydrology and earth system sciences. 22(2). 1095–1117. 117 indexed citations

6.

Chawla, Ila, Krishna K. Osuri, P. P. Mujumdar, & Dev Niyogi. (2017). Assessment of the Weather Research and Forecasting (WRF) Model for Extreme Rainfall Event Simulations in the Upper Ganga Basin. 5 indexed citations

7.

Chawla, Ila & P. P. Mujumdar. (2017). Partitioning uncertainty in streamflow projections under nonstationary model conditions. Advances in Water Resources. 112. 266–282. 39 indexed citations

8.

Chawla, Ila & P. P. Mujumdar. (2015). Isolating the impacts of land use and climate change on streamflow. Hydrology and earth system sciences. 19(8). 3633–3651. 132 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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