Pratiman Patel

593 total citations
18 papers, 333 citations indexed

About

Pratiman Patel is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Pratiman Patel has authored 18 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 11 papers in Environmental Engineering. Recurrent topics in Pratiman Patel's work include Urban Heat Island Mitigation (9 papers), Climate variability and models (8 papers) and Meteorological Phenomena and Simulations (6 papers). Pratiman Patel is often cited by papers focused on Urban Heat Island Mitigation (9 papers), Climate variability and models (8 papers) and Meteorological Phenomena and Simulations (6 papers). Pratiman Patel collaborates with scholars based in India, United States and Singapore. Pratiman Patel's co-authors include Sabyasachi Swain, Subimal Ghosh, Subhankar Karmakar, Dev Niyogi, Saswata Nandi, Akshara Kaginalkar, Sahidul Islam, Daniel G. Aliaga, Raghu Nadimpalli and Pankaj R. Dhote and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Pratiman Patel

16 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pratiman Patel India	11	241	167	133	59	51	18	333
Antonis Bezes Greece	6	198 0.8×	59 0.4×	115 0.9×	58 1.0×	36 0.7×	8	334
Maria João Carvalho Portugal	6	240 1.0×	60 0.4×	182 1.4×	26 0.4×	41 0.8×	11	330
Hiteshri Shastri India	6	251 1.0×	215 1.3×	146 1.1×	29 0.5×	113 2.2×	12	338
Manisha Maharjan Japan	9	219 0.9×	95 0.6×	133 1.0×	104 1.8×	26 0.5×	13	306
Shuzhe Huang China	10	201 0.8×	159 1.0×	106 0.8×	85 1.4×	19 0.4×	20	368
Philip W. Suckling United States	12	258 1.1×	156 0.9×	93 0.7×	69 1.2×	25 0.5×	34	449
Kaustubh Salvi India	9	395 1.6×	90 0.5×	220 1.7×	113 1.9×	74 1.5×	15	471
Christos Giannaros Greece	13	221 0.9×	192 1.1×	203 1.5×	46 0.8×	182 3.6×	31	453
Mohd Khairul Idlan Muhammad Malaysia	10	309 1.3×	86 0.5×	108 0.8×	105 1.8×	26 0.5×	39	395
Seyed Hossein Sanaei Nejad Iran	6	169 0.7×	156 0.9×	92 0.7×	152 2.6×	30 0.6×	14	322

Countries citing papers authored by Pratiman Patel

Since Specialization

Citations

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

Fields of papers citing papers by Pratiman Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratiman Patel

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

All Works

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18 of 18 papers shown

Patel, Pratiman, et al.. (2025). Hectometric urban climate modelling over a tropical city. Quarterly Journal of the Royal Meteorological Society. 151(773).

Sinha, P. C., et al.. (2024). Impact of increasing urbanization on heatwaves in Indian cities. International Journal of Climatology. 44(11). 4089–4114. 8 indexed citations

Patel, Pratiman, Sajad Jamshidi, Raghu Nadimpalli, et al.. (2023). Impact of Urban Representation on Simulation of Hurricane Rainfall. Geophysical Research Letters. 50(21). 2 indexed citations

Nandi, Saswata, Pratiman Patel, & Sabyasachi Swain. (2023). IMDLIB: An open-source library for retrieval, processing and spatiotemporal exploratory assessments of gridded meteorological observation datasets over India. Environmental Modelling & Software. 171. 105869–105869. 13 indexed citations

Patel, Pratiman, et al.. (2023). Deep learning-based urban morphology for city-scale environmental modeling. PNAS Nexus. 2(3). pgad027–pgad027. 14 indexed citations

Singh, Manmeet, Nachiketa Acharya, Pratiman Patel, et al.. (2023). A modified deep learning weather prediction using cubed sphere for global precipitation. Frontiers in Climate. 4. 4 indexed citations

Sánchez, Beatriz, et al.. (2023). Application of a Semi-Empirical Approach to Map Maximum Urban Heat Island Intensity in Singapore. Sustainability. 15(17). 12834–12834. 3 indexed citations

Mohanty, Shyama, Raghu Nadimpalli, Krishna K. Osuri, et al.. (2023). Meteorological Conditions of Extreme Heavy Rains over Coastal City Mumbai. Journal of Applied Meteorology and Climatology. 62(2). 191–208. 12 indexed citations

Nadimpalli, Raghu, Pratiman Patel, U. C. Mohanty, S. D. Attri, & Dev Niyogi. (2022). Impact of urban parameterization and integration of WUDAPT on the severe convection. SHILAP Revista de lepidopterología. 2(1). 14 indexed citations

10.

Patel, Pratiman, Praveen K. Thakur, S. P. Aggarwal, et al.. (2022). Revisiting 2013 Uttarakhand flash floods through hydrological evaluation of precipitation data sources and morphometric prioritization. Geomatics Natural Hazards and Risk. 13(1). 646–666. 42 indexed citations

11.

Patel, Pratiman, Sajad Jamshidi, Raghu Nadimpalli, et al.. (2022). Modeling Large‐Scale Heatwave by Incorporating Enhanced Urban Representation. Journal of Geophysical Research Atmospheres. 127(2). 28 indexed citations

12.

Patel, Pratiman, Subhankar Karmakar, Subimal Ghosh, Daniel G. Aliaga, & Dev Niyogi. (2021). Impact of green roofs on heavy rainfall in tropical, coastal urban area. Environmental Research Letters. 16(7). 74051–74051. 13 indexed citations

13.

Patel, Pratiman, Subhankar Karmakar, Subimal Ghosh, & Dev Niyogi. (2020). Improved simulation of very heavy rainfall events by incorporating WUDAPT urban land use/land cover in WRF. Urban Climate. 32. 100616–100616. 56 indexed citations

14.

Patel, Pratiman, Subimal Ghosh, Akshara Kaginalkar, Sahidul Islam, & Subhankar Karmakar. (2019). Performance evaluation of WRF for extreme flood forecasts in a coastal urban environment. Atmospheric Research. 223. 39–48. 60 indexed citations

15.

Patel, Pratiman, Subhankar Karmakar, Subimal Ghosh, & Dev Niyogi. (2018). Performance evaluation of WRF for extreme precipitation events by integrating WUDAPT. EGU General Assembly Conference Abstracts. 7505. 1 indexed citations

16.

Patel, Pratiman & Subhankar Karmakar. (2018). Analysis of Vulnerability to Water Stress at a Nationwide Scale. 18. 2910–2913. 1 indexed citations

17.

Swain, Sabyasachi, Pratiman Patel, & Saswata Nandi. (2017). A multiple linear regression model for precipitation forecasting over Cuttack district, Odisha, India. 355–357. 28 indexed citations

18.

Swain, Sabyasachi, Pratiman Patel, & Saswata Nandi. (2017). Application of SPI, EDI and PNPI using MSWEP precipitation data over Marathwada, India. 5505–5507. 34 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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