N. R. Patel

1.8k total citations
71 papers, 1.3k citations indexed

About

N. R. Patel is a scholar working on Global and Planetary Change, Ecology and Plant Science. According to data from OpenAlex, N. R. Patel has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Global and Planetary Change, 30 papers in Ecology and 18 papers in Plant Science. Recurrent topics in N. R. Patel's work include Remote Sensing in Agriculture (30 papers), Plant Water Relations and Carbon Dynamics (23 papers) and Climate variability and models (16 papers). N. R. Patel is often cited by papers focused on Remote Sensing in Agriculture (30 papers), Plant Water Relations and Carbon Dynamics (23 papers) and Climate variability and models (16 papers). N. R. Patel collaborates with scholars based in India, Tunisia and Canada. N. R. Patel's co-authors include V. K. Dadhwal, P. Chopra, Abhishek Danodia, R. K. Nayak, Bikash Ranjan Parida, Subrata Nandy, Ritika Srinet, K. Yadav, Sudip Saha and Arvind Chandra Pandey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Remote Sensing.

In The Last Decade

N. R. Patel

69 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. R. Patel India 19 827 538 353 232 192 71 1.3k
Fernando Sedano United States 16 670 0.8× 720 1.3× 252 0.7× 340 1.5× 202 1.1× 29 1.3k
Miriam Machwitz Germany 19 523 0.6× 492 0.9× 145 0.4× 209 0.9× 156 0.8× 30 1.1k
Claire G. Boryan United States 9 461 0.6× 735 1.4× 255 0.7× 327 1.4× 184 1.0× 26 1.1k
Bergson G. Bezerra Brazil 21 776 0.9× 421 0.8× 207 0.6× 166 0.7× 190 1.0× 57 1.2k
Julie Betbeder France 18 507 0.6× 840 1.6× 252 0.7× 467 2.0× 232 1.2× 39 1.3k
Mallory L. Barnes United States 17 885 1.1× 505 0.9× 187 0.5× 185 0.8× 301 1.6× 32 1.2k
Ajit Govind Syria 17 592 0.7× 481 0.9× 225 0.6× 453 2.0× 314 1.6× 63 1.2k
Daniel Doktor Germany 22 850 1.0× 1.2k 2.2× 401 1.1× 466 2.0× 274 1.4× 39 1.9k
Shanshan Yang China 19 486 0.6× 342 0.6× 194 0.5× 129 0.6× 146 0.8× 54 946
Wang Zhou United States 19 416 0.5× 313 0.6× 259 0.7× 308 1.3× 215 1.1× 52 1.2k

Countries citing papers authored by N. R. Patel

Since Specialization
Citations

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

Fields of papers citing papers by N. R. Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. R. Patel

This figure shows the co-authorship network connecting the top 25 collaborators of N. R. Patel. A scholar is included among the top collaborators of N. R. 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 N. R. Patel. N. R. Patel 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.
Danodia, Abhishek, N. R. Patel, Vinay Kumar Sehgal, & Ranjeet Singh. (2024). Surface energy fluxes and energy balance closure using large aperture scintillometer-based ET station on heterogeneous agricultural landscape in north India. Journal of Agrometeorology. 26(1). 18–24. 1 indexed citations
2.
Patel, N. R., et al.. (2024). Evaluating rice crop phenology and crop yield in hilly region using satellite imagery and Google Earth Engine. Journal of Agrometeorology. 26(4). 395–400. 1 indexed citations
3.
Patel, N. R., et al.. (2024). Geospatial Technology for Sustainable Agricultural Water Management in India—A Systematic Review. SHILAP Revista de lepidopterología. 4(2). 91–123. 11 indexed citations
4.
Patel, N. R., et al.. (2024). A combined drought index for monitoring and assessment of drought severity over India by integrating CHIRPS, MODIS and GRACE data. Environment Development and Sustainability. 3 indexed citations
5.
Haldar, Dipanwita, et al.. (2024). Pearl Millet Crop Biophysical Parameter Retrieval From Space Borne Polarimetric SAR Data Using Machine Learning. Earth and Space Science. 11(1). 4 indexed citations
6.
Patel, N. R., et al.. (2023). Crop productivity estimation by integrating multisensor satellite, in situ, and eddy covariance data into efficiency-based model. Environmental Monitoring and Assessment. 195(12). 1495–1495. 1 indexed citations
7.
Nandy, Subrata, et al.. (2023). Spatio-temporal dynamics of water use efficiency over forest ecosystems using time series satellite data and carbon flux measurements. Forest Ecology and Management. 548. 121385–121385. 2 indexed citations
8.
Patel, N. R., et al.. (2023). Atmospheric CO2 concentration variability in response to contrasting vegetation ecosystems in Himalayan foothills. Arabian Journal of Geosciences. 16(3). 2 indexed citations
9.
Patel, N. R., et al.. (2023). Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review. Agronomy. 13(9). 2302–2302. 23 indexed citations
10.
Patel, N. R., et al.. (2021). Estimation of evapotranspiration fluxes from Sal (Shorea robusta Gaertn.f) forest using METRIC model: case study of Doon Valley, India. Geocarto International. 37(19). 5742–5764. 1 indexed citations
11.
12.
Patel, N. R., et al.. (2021). Development and application of SPI generator using open source for analyzing drought at a varying time scale. Journal of Agrometeorology. 21(4). 420–426. 5 indexed citations
13.
Parida, Bikash Ranjan, Arvind Chandra Pandey, & N. R. Patel. (2020). Greening and Browning Trends of Vegetation in India and Their Responses to Climatic and Non-Climatic Drivers. Climate. 8(8). 92–92. 65 indexed citations
14.
Singh, Nilendu, et al.. (2019). Net Ecosystem Exchange of CO2 in Deciduous Pine Forest of Lower Western Himalaya, India. Resources. 8(2). 98–98. 16 indexed citations
15.
Aggarwal, S. P., et al.. (2018). MAPPING AND MODELLING ABOVEGROUND WOODY BIOMASS AND CARBON STOCK IN SAL (SHOREA ROBUSTA GAERTN. F.) FORESTS OF DOON VALLEY USING GEOSPATIAL TECHNIQUES. SHILAP Revista de lepidopterología. XLII-5. 877–882. 1 indexed citations
16.
Patel, N. R., et al.. (2018). An Analysis of zone wise water scarcity for the Ahmedabad City. Journal of Emerging Technologies and Innovative Research. 5(11). 596-602–596-602. 1 indexed citations
17.
Patel, N. R., et al.. (2018). Impact of updating land surface data on micrometeorological weather simulations from the WRF model. Atmósfera. 31(2). 165–183. 16 indexed citations
18.
Watham, Taibanganba, S. P. S. Kushwaha, N. R. Patel, & V. K. Dadhwal. (2014). Monitoring of Carbon Dioxide and Water Vapour Exchange over a Young Mixed forest Plantation Using Eddy Covariance Technique. Current Science. 107(5). 858–867. 19 indexed citations
19.
Nayak, R. K., N. R. Patel, & V. K. Dadhwal. (2009). Estimation and analysis of terrestrial net primary productivity over India by remote-sensing-driven terrestrial biosphere model. Environmental Monitoring and Assessment. 170(1-4). 195–213. 97 indexed citations
20.
Patel, N. R., et al.. (2008). PROBABILITY DISTRIBUTION ANALYSIS OF CONSECUTIVE DAYS RAINFALL DATA FOR SABARKANTHA DISTRICT OF NORTH GUJARAT REGION, INDIA. ISH Journal of Hydraulic Engineering. 14(3). 43–55. 2 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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