Kironmala Chanda

633 total citations
24 papers, 460 citations indexed

About

Kironmala Chanda is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Atmospheric Science. According to data from OpenAlex, Kironmala Chanda has authored 24 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 8 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Atmospheric Science. Recurrent topics in Kironmala Chanda's work include Hydrology and Drought Analysis (17 papers), Climate variability and models (12 papers) and Climate change impacts on agriculture (8 papers). Kironmala Chanda is often cited by papers focused on Hydrology and Drought Analysis (17 papers), Climate variability and models (12 papers) and Climate change impacts on agriculture (8 papers). Kironmala Chanda collaborates with scholars based in India, United States and Australia. Kironmala Chanda's co-authors include Rajib Maity, Riya Dutta, Ashish Sharma, Srinivas Pasupuleti, D. Nagesh Kumar, Rajeshwar Mehrotra, D. A. Sachindra, Masami Nonaka, Swadhin K. Behera and J. V. Ratnam and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Renewable Energy.

In The Last Decade

Kironmala Chanda

23 papers receiving 453 citations

Peers

Kironmala Chanda

GPC

WST

EEBS

Yingdong Yu China

Aminjon Gulakhmadov China

Faisal Baig United Arab Emirates

Mustafa Al-Mukhtar Iraq

Bisselink Bernard Italy

Celray James Chawanda Belgium

De Roo Arie

Mohammad Nazeri Tahroudi Iran

Yelong Zeng China

Álex Avilés Ecuador

Yingdong Yu China

Kironmala Chanda

225 ×0.8

GPC

129 ×1.0

WST

130 ×1.1

79 ×0.9

19 ×0.3

EEBS

Citations per year, relative to Kironmala Chanda Kironmala Chanda (= 1×) peers Yingdong Yu

Countries citing papers authored by Kironmala Chanda

Since Specialization

Citations

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

Fields of papers citing papers by Kironmala Chanda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kironmala Chanda

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

All Works

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20 of 20 papers shown

Chanda, Kironmala, et al.. (2025). Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data. Earth system science data. 17(6). 2575–2604. 1 indexed citations

Mandal, Nibir & Kironmala Chanda. (2025). Investigation of Urban Heat Islands and modeling of Land Surface Temperature over selected Indian cities using MODIS products. Theoretical and Applied Climatology. 156(5).

Chanda, Kironmala, et al.. (2024). Joint probabilistic behaviour of climate extremes over the Godavari River basin, India. International Journal of Climatology. 44(9). 2876–2896. 2 indexed citations

Chanda, Kironmala, et al.. (2024). Selection of optimum GCMs through Bayesian networks for developing improved machine learning based multi-model ensembles of precipitation and temperature. Stochastic Environmental Research and Risk Assessment. 39(1). 155–179. 5 indexed citations

Chanda, Kironmala, et al.. (2023). Performance of machine learning algorithms for multi-step ahead prediction of reference evapotranspiration across various agro-climatic zones and cropping seasons. Journal of Hydrology. 620. 129418–129418. 21 indexed citations

Chanda, Kironmala, et al.. (2023). Contribution of climate and catchment characteristics to runoff variations in Indian river basins: a climate elasticity approach. Hydrological Sciences Journal. 68(12). 1693–1710. 2 indexed citations

Chanda, Kironmala, et al.. (2023). Association of tropical daily precipitation extremes with physical covariates in a changing climate. Stochastic Environmental Research and Risk Assessment. 37(8). 3021–3039. 3 indexed citations

Dutta, Riya, Kironmala Chanda, & Rajib Maity. (2022). Future of solar energy potential in a changing climate across the world: A CMIP6 multi-model ensemble analysis. Renewable Energy. 188. 819–829. 114 indexed citations

Sachindra, D. A., et al.. (2022). Machine Learning-Based Rainfall Forecasting with Multiple Non-Linear Feature Selection Algorithms. Water Resources Management. 36(15). 6043–6071. 26 indexed citations

10.

Chanda, Kironmala, et al.. (2022). A Bayesian network approach for understanding the role of large-scale and local hydro-meteorological variables as drivers of basin-scale rainfall and streamflow. Stochastic Environmental Research and Risk Assessment. 37(4). 1535–1556. 10 indexed citations

11.

Chanda, Kironmala, et al.. (2022). Pre- and post-1975 scaling relationships of monsoon and non-monsoon hourly precipitation extremes with coincident temperature across urban India. Journal of Hydrology. 612. 128180–128180. 6 indexed citations

12.

Maity, Rajib, et al.. (2021). Changing spectral patterns of long‐term drought propensity in Iran through reliability–resilience–vulnerability‐based Drought Management Index. International Journal of Climatology. 42(8). 4147–4163. 3 indexed citations

13.

Maity, Rajib, et al.. (2021). Potential of Deep Learning in drought assessment by extracting information from hydrometeorological precursors. Journal of Water and Climate Change. 12(6). 2774–2796. 28 indexed citations

14.

Chanda, Kironmala, et al.. (2020). Bayesian Network based modeling of regional rainfall from multiple local meteorological drivers. Journal of Hydrology. 591. 125563–125563. 27 indexed citations

15.

Chanda, Kironmala, et al.. (2020). Spatiotemporal analysis of extreme indices derived from daily precipitation and temperature for climate change detection over India. Theoretical and Applied Climatology. 140(1-2). 343–357. 37 indexed citations

16.

Maity, Rajib, Kironmala Chanda, Riya Dutta, et al.. (2020). Contrasting features of hydroclimatic teleconnections and the predictability of seasonal rainfall over east and west Japan. Meteorological Applications. 27(1). 9 indexed citations

17.

Chanda, Kironmala & Rajib Maity. (2017). Assessment of Trend in Global Drought Propensity in the Twenty-First Century Using Drought Management Index. Water Resources Management. 31(4). 1209–1225. 14 indexed citations

18.

Chanda, Kironmala & Rajib Maity. (2015). Uncovering global climate fields causing local precipitation extremes. Hydrological Sciences Journal. 1–11. 3 indexed citations

19.

Chanda, Kironmala, Rajib Maity, Ashish Sharma, & Rajeshwar Mehrotra. (2014). Spatiotemporal variation of long‐term drought propensity through reliability‐resilience‐vulnerability based Drought Management Index. Water Resources Research. 50(10). 7662–7676. 41 indexed citations

20.

Maity, Rajib, Ashish Sharma, D. Nagesh Kumar, & Kironmala Chanda. (2012). Characterizing Drought Using the Reliability-Resilience-Vulnerability Concept. Journal of Hydrologic Engineering. 18(7). 859–869. 56 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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