Jew Das

1.8k total citations
42 papers, 1.3k citations indexed

About

Jew Das is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Jew Das has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Global and Planetary Change, 18 papers in Water Science and Technology and 12 papers in Atmospheric Science. Recurrent topics in Jew Das's work include Climate variability and models (30 papers), Hydrology and Drought Analysis (24 papers) and Hydrology and Watershed Management Studies (18 papers). Jew Das is often cited by papers focused on Climate variability and models (30 papers), Hydrology and Drought Analysis (24 papers) and Hydrology and Watershed Management Studies (18 papers). Jew Das collaborates with scholars based in India, Taiwan and United States. Jew Das's co-authors include N. V. Umamahesh, Manish Kumar Goyal, Srinidhi Jha, Vikas Poonia, Avantika Singh, C. Sekar, Anil K. Gupta, Budhaditya Hazra, Ashutosh Sharma and Brij B. Gupta and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Jew Das

40 papers receiving 1.2k citations

Peers

Jew Das

GPC

WST

EEBS

Srinidhi Jha India

Sahar Hadi Pour Malaysia

Kehinde O. Ogunjobi Nigeria

Wan Zawiah Wan Zin Malaysia

Steve Dorling United Kingdom

Sayang Mohd Deni Malaysia

M Mousavi Baygi Iran

Hüseyi̇n Toros Türkiye

Ashutosh Limaye United States

Yao Ying China

Srinidhi Jha India

Jew Das

735 ×0.7

GPC

240 ×0.6

WST

216 ×0.7

200 ×0.7

145 ×0.7

EEBS

Citations per year, relative to Jew Das Jew Das (= 1×) peers Srinidhi Jha

Countries citing papers authored by Jew Das

Since Specialization

Citations

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

Fields of papers citing papers by Jew Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jew Das

This figure shows the co-authorship network connecting the top 25 collaborators of Jew Das. A scholar is included among the top collaborators of Jew Das 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 Jew Das. Jew Das 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

Das, Jew, et al.. (2024). Non‐Stationary Flash Drought Analysis and Its Teleconnection With Low‐Frequency Climatic Oscillations. Hydrological Processes. 38(10). 2 indexed citations

Das, Jew, et al.. (2023). Does the performance enhancement through multi-model averaging at the catchment outlet gets translated to the interior ungauged points?. Journal of Hydrology. 627. 130389–130389. 5 indexed citations

Goyal, Manish Kumar, et al.. (2023). Heatwave magnitude impact over Indian cities: CMIP 6 projections. Theoretical and Applied Climatology. 154(3-4). 959–971. 12 indexed citations

Das, Jew, et al.. (2023). Population exposure to drought severities under shared socioeconomic pathways scenarios in India. The Science of The Total Environment. 867. 161566–161566. 20 indexed citations

Das, Jew, et al.. (2023). Spatio-temporal compounding of connected extreme events: Projection and hotspot identification. Environmental Research. 235. 116615–116615. 14 indexed citations

Das, Jew, et al.. (2022). Copula-based drought risk analysis on rainfed agriculture under stationary and non-stationary settings. Hydrological Sciences Journal. 67(11). 1683–1701. 22 indexed citations

Das, Jew, et al.. (2022). A Non-Stationary Based Approach to Understand the Propagation of Meteorological to Agricultural Droughts. Water Resources Management. 37(6-7). 2483–2504. 35 indexed citations

Jha, Srinidhi, et al.. (2021). A methodological framework for extreme climate risk assessment integrating satellite and location based data sets in intelligent systems. International Journal of Intelligent Systems. 37(12). 10268–10288. 3 indexed citations

Das, Jew, et al.. (2021). Population exposure to compound extreme events in India under different emission and population scenarios. The Science of The Total Environment. 806(Pt 1). 150424–150424. 69 indexed citations

10.

Chakraborty, Apurba, et al.. (2021). Evaluation of Knowledge Gain through Training Programmes on Scientific Pig Farming. Asian Journal of Agricultural Extension Economics & Sociology. 88–92.

11.

Poonia, Vikas, Jew Das, & Manish Kumar Goyal. (2021). Impact of climate change on crop water and irrigation requirements over eastern Himalayan region. Stochastic Environmental Research and Risk Assessment. 35(6). 1175–1188. 23 indexed citations

12.

Das, Jew, et al.. (2021). Identification of future meteorological drought hotspots over Indian region: A study based on NEX‐GDDP data. International Journal of Climatology. 41(12). 5644–5662. 23 indexed citations

13.

Jha, Srinidhi, Jew Das, & Manish Kumar Goyal. (2020). Low frequency global‐scale modes and its influence on rainfall extremes over India: Nonstationary and uncertainty analysis. International Journal of Climatology. 41(3). 1873–1888. 29 indexed citations

14.

Das, Jew, Vikas Poonia, Srinidhi Jha, & Manish Kumar Goyal. (2020). Understanding the climate change impact on crop yield over Eastern Himalayan Region: ascertaining GCM and scenario uncertainty. Theoretical and Applied Climatology. 142(1-2). 467–482. 29 indexed citations

15.

Das, Jew, Srinidhi Jha, & Manish Kumar Goyal. (2019). Non-stationary and copula-based approach to assess the drought characteristics encompassing climate indices over the Himalayan states in India. Journal of Hydrology. 580. 124356–124356. 134 indexed citations

16.

Das, Jew, et al.. (2019). Analysing model disparity in diagnosing the climatic and human stresses on runoff variability over India. Journal of Hydrology. 581. 124407–124407. 25 indexed citations

17.

Jha, Srinidhi, Jew Das, & Manish Kumar Goyal. (2019). Assessment of Risk and Resilience of Terrestrial Ecosystem Productivity under the Influence of Extreme Climatic Conditions over India. Scientific Reports. 9(1). 18923–18923. 45 indexed citations

18.

Jha, Srinidhi, Jew Das, Ashutosh Sharma, Budhaditya Hazra, & Manish Kumar Goyal. (2019). Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India. Global and Planetary Change. 176. 23–35. 79 indexed citations

19.

Das, Jew & N. V. Umamahesh. (2018). Future Projection of Precipitation and Temperature Extremes Using Change Factor Method over a River Basin: Case Study. Journal of Hazardous Toxic and Radioactive Waste. 22(3). 12 indexed citations

20.

Das, Jew & N. V. Umamahesh. (2017). Spatio-Temporal Variation of Water Availability in a River Basin under CORDEX Simulated Future Projections. Water Resources Management. 32(4). 1399–1419. 13 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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