Anumeha Dube

624 total citations
27 papers, 382 citations indexed

About

Anumeha Dube is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Anumeha Dube has authored 27 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Anumeha Dube's work include Meteorological Phenomena and Simulations (19 papers), Climate variability and models (18 papers) and Precipitation Measurement and Analysis (9 papers). Anumeha Dube is often cited by papers focused on Meteorological Phenomena and Simulations (19 papers), Climate variability and models (18 papers) and Precipitation Measurement and Analysis (9 papers). Anumeha Dube collaborates with scholars based in India. Anumeha Dube's co-authors include Raghavendra Ashrit, G. Jayaraman, André Campos Kersten Schmidt, Avijit Gangopadhyay, Abhijit Mitra, Kakoli Banerjee, E. N. Rajagopal, Gopal Iyengar, Kuldeep Sharma and Swati Basu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atmospheric Research and Nonlinear Analysis.

In The Last Decade

Anumeha Dube

25 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anumeha Dube India 10 226 191 85 72 40 27 382
Awa Niang Senegal 11 182 0.8× 104 0.5× 117 1.4× 44 0.6× 36 0.9× 26 309
Júlio Gomes Brazil 4 258 1.1× 166 0.9× 77 0.9× 76 1.1× 67 1.7× 17 393
Alexandre Macedo Fernandes Brazil 10 278 1.2× 180 0.9× 131 1.5× 63 0.9× 46 1.1× 25 438
Xiao Zhou China 11 464 2.1× 347 1.8× 173 2.0× 99 1.4× 32 0.8× 22 581
Ruting Yang China 6 251 1.1× 178 0.9× 118 1.4× 42 0.6× 41 1.0× 7 354
Olivia Cabrera Philippines 10 142 0.6× 125 0.7× 132 1.6× 104 1.4× 21 0.5× 18 346
Martín Jacques‐Coper Chile 14 377 1.7× 400 2.1× 51 0.6× 56 0.8× 60 1.5× 31 560
Flaviana D. Hilario Philippines 11 331 1.5× 272 1.4× 79 0.9× 41 0.6× 29 0.7× 14 424
Kristen Welsh Bahamas 8 204 0.9× 123 0.6× 32 0.4× 70 1.0× 70 1.8× 14 333
X. L. Wang Canada 5 253 1.1× 285 1.5× 40 0.5× 39 0.5× 58 1.4× 6 400

Countries citing papers authored by Anumeha Dube

Since Specialization
Citations

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

Fields of papers citing papers by Anumeha Dube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anumeha Dube

This figure shows the co-authorship network connecting the top 25 collaborators of Anumeha Dube. A scholar is included among the top collaborators of Anumeha Dube 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 Anumeha Dube. Anumeha Dube 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.
Singh, H. N., Anumeha Dube, Raghavendra Ashrit, Prashant K. Srivastava, & V. S. Prasad. (2025). Object-based forecasting of heat waves over India: A novel approach. Journal of Earth System Science. 134(3).
2.
Mamgain, Ashu, et al.. (2024). Grand ensemble forecasts verification based on two high resolution (∼12 km) global ensemble prediction systems. Atmospheric Research. 309. 107585–107585.
3.
Dube, Anumeha, et al.. (2023). How much does a high-resolution global ensemble forecast improve upon deterministic prediction skill for the Indian summer monsoon?. Meteorology and Atmospheric Physics. 135(4). 3 indexed citations
4.
Ashrit, Raghavendra, et al.. (2023). Assessment of extreme rainfall events over Kerala using EVA and NCUM-G model forecasts. Journal of Earth System Science. 132(4). 1 indexed citations
5.
Dube, Anumeha, et al.. (2022). A Machine Learning (ML)-Based Approach to Improve Tropical Cyclone Intensity Prediction of NCMRWF Ensemble Prediction System. Pure and Applied Geophysics. 180(1). 261–275. 7 indexed citations
6.
Sarkar, Abhijit, et al.. (2022). Probabilistic forecasting of Super Cyclone ‘Amphan’ using NCMRWF global and regional ensemble prediction systems. Journal of Earth System Science. 131(4). 3 indexed citations
7.
Ashrit, Raghavendra, Anumeha Dube, Kondapalli Niranjan Kumar, et al.. (2022). Evaluation of five high-resolution global model rainfall forecasts over India during monsoon 2020. Journal of Earth System Science. 131(4). 3 indexed citations
8.
Dube, Anumeha, Sumit Kumar, S. Indira Rani, et al.. (2022). Improved skill of NCMRWF Unified Model (NCUM-G) in forecasting tropical cyclones over NIO during 2015–2019. Journal of Earth System Science. 131(2). 4 indexed citations
9.
Sarkar, Abhijit, et al.. (2021). Forecasting of tropical cyclone using global and regional ensemble prediction systems of NCMRWF : A review. MAUSAM. 72(1). 77–86. 8 indexed citations
10.
Ashrit, Raghavendra, Anumeha Dube, T. Arulalan, et al.. (2021). Tropical cyclone forecast using NCMRWF Global (12 km) and regional (4 km) models. MAUSAM. 72(1). 129–146. 7 indexed citations
11.
Dube, Anumeha, H. N. Singh, & Raghavendra Ashrit. (2020). Heat Waves in India during MAM 2019: Verification of ensemble based probabilistic forecasts and impact of bias correction. Atmospheric Research. 251. 105421–105421. 9 indexed citations
12.
Dube, Anumeha, et al.. (2020). Improvements in tropical cyclone forecasting through ensemble prediction system at NCMRWF in India. SHILAP Revista de lepidopterología. 9(2). 106–116. 16 indexed citations
13.
Dube, Anumeha, Raghavendra Ashrit, H. N. Singh, Gopal Iyengar, & E. N. Rajagopal. (2016). Verification of Medium Range Probabilistic Rainfall Forecasts Over India. Pure and Applied Geophysics. 173(7). 2489–2510. 2 indexed citations
14.
Ashrit, Raghavendra, Kuldeep Sharma, Anumeha Dube, et al.. (2015). Verification of short range forecasts of extreme rainfall during monsoon. MAUSAM. 66(3). 375–386. 10 indexed citations
15.
Dube, Anumeha, et al.. (2015). Tropical cyclone forecast from NCMRWF global ensemble forecast system, verification and bias correction. MAUSAM. 66(3). 511–528. 2 indexed citations
16.
Dube, Anumeha, Raghavendra Ashrit, Kuldeep Sharma, et al.. (2014). Forecasting the heavy rainfall during Himalayan flooding—June 2013. Weather and Climate Extremes. 4. 22–34. 67 indexed citations
17.
Jayaraman, G. & Anumeha Dube. (2010). COASTAL PROCESSES WITH IMPROVED TIDAL OPENING IN CHILIKA LAGOON (EAST COAST OF INDIA). World Scientific Publishing Co. Pte. Ltd. eBooks. 9. 91–108. 2 indexed citations
18.
Dube, Anumeha, et al.. (2010). Modelling the effects of variable salinity on the temporal distribution of plankton in shallow coastal lagoons. Journal of Hydro-environment Research. 4(3). 199–209. 28 indexed citations
19.
Mitra, Abhijit, Avijit Gangopadhyay, Anumeha Dube, André Campos Kersten Schmidt, & Kakoli Banerjee. (2009). Observed changes in water mass properties in the Indian Sundarbans (northwestern Bay of Bengal) during 1980-2007.. Current Science. 97(10). 1445–1452. 100 indexed citations
20.
Dube, Anumeha & G. Jayaraman. (2008). Mathematical modelling of the seasonal variability of plankton in a shallow lagoon. Nonlinear Analysis. 69(3). 850–865. 17 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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