Jai Singh Parihar

599 total citations
24 papers, 477 citations indexed

About

Jai Singh Parihar is a scholar working on Ecology, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Jai Singh Parihar has authored 24 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 7 papers in Atmospheric Science and 6 papers in Environmental Engineering. Recurrent topics in Jai Singh Parihar's work include Remote Sensing in Agriculture (13 papers), Remote Sensing and Land Use (5 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers). Jai Singh Parihar is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Remote Sensing and Land Use (5 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers). Jai Singh Parihar collaborates with scholars based in India and United States. Jai Singh Parihar's co-authors include Sushma Panigrahy, Parul Patel, Hema Srivastava, S. S. Ray, K. K. Singh, Bimal K. Bhattacharya, Chandra Prakash Singh, Manab Chakraborty, Joydeep Mukherjee and Praveen Kumar Gupta and has published in prestigious journals such as International Journal of Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Jai Singh Parihar

24 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jai Singh Parihar India 13 223 191 159 115 89 24 477
Kim Knauer Germany 5 304 1.4× 204 1.1× 110 0.7× 138 1.2× 100 1.1× 9 445
Christopher Justice United States 8 209 0.9× 194 1.0× 98 0.6× 77 0.7× 59 0.7× 9 388
Naoki Ishitsuka Japan 6 310 1.4× 361 1.9× 173 1.1× 165 1.4× 65 0.7× 16 591
L. Y. Chang Taiwan 9 248 1.1× 192 1.0× 122 0.8× 211 1.8× 78 0.9× 12 433
Isabella Pfeil Austria 9 221 1.0× 142 0.7× 313 2.0× 197 1.7× 58 0.7× 23 494
R. P. D. Ferraz Brazil 7 270 1.2× 186 1.0× 104 0.7× 74 0.6× 105 1.2× 20 428
Francis Canisius Canada 12 337 1.5× 201 1.1× 272 1.7× 137 1.2× 106 1.2× 23 527
Javier Muro Germany 13 249 1.1× 337 1.8× 196 1.2× 112 1.0× 30 0.3× 23 553
Claire Marais-Sicre France 8 520 2.3× 232 1.2× 323 2.0× 144 1.3× 230 2.6× 18 698
Jiaxin Qian China 10 155 0.7× 189 1.0× 194 1.2× 123 1.1× 72 0.8× 23 438

Countries citing papers authored by Jai Singh Parihar

Since Specialization
Citations

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

Fields of papers citing papers by Jai Singh Parihar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jai Singh Parihar. 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 Jai Singh Parihar. The network helps show where Jai Singh Parihar may publish in the future.

Co-authorship network of co-authors of Jai Singh Parihar

This figure shows the co-authorship network connecting the top 25 collaborators of Jai Singh Parihar. A scholar is included among the top collaborators of Jai Singh Parihar 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 Jai Singh Parihar. Jai Singh Parihar 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, Chandra Prakash, et al.. (2022). Hunting of hunted: an ensemble modeling approach to evaluate suitable habitats for caracals in India. Ecological Processes. 11(1). 3 indexed citations
2.
3.
Singh, Nilendu, et al.. (2014). Radiation and energy balance dynamics over young chir pine (Pinus roxburghii) system in Doon of western Himalayas. Journal of Earth System Science. 123(7). 1451–1465. 10 indexed citations
4.
Pandya, Mehul R., et al.. (2014). Retrieval of land surface temperature from the Kalpana-1 VHRR data using a single-channel algorithm and its validation over western India. ISPRS Journal of Photogrammetry and Remote Sensing. 94. 160–168. 24 indexed citations
5.
Singh, Chandra Prakash, et al.. (2013). Modeling environmental niche of Himalayan birch and remote sensing based vicarious validation. 24 indexed citations
6.
Parihar, Jai Singh, Chris Justice, Olivier Léo, et al.. (2012). GEO-GLAM: A GEOSS-G20 initiative on Global Agricultural Monitoring. 39. 1451. 9 indexed citations
7.
Tripathy, Rojalin, Joydeep Mukherjee, S. S. Ray, et al.. (2012). Forecasting wheat yield in Punjab state of India by combining crop simulation model WOFOST and remotely sensed inputs. Remote Sensing Letters. 4(1). 19–28. 32 indexed citations
8.
Panigrahy, Sushma, et al.. (2012). Classification of floristic composition of mangrove forests using hyperspectral data: case study of Bhitarkanika National Park, India. Journal of Coastal Conservation. 17(1). 121–132. 29 indexed citations
9.
Chakraborty, Manab, et al.. (2011). Methodology to classify rice cultural types based on water regimes using multi-temporal RADARSAT-1 data. International Journal of Remote Sensing. 33(13). 4135–4160. 17 indexed citations
10.
Ray, S. S., et al.. (2011). Comparison of Two Data Smoothing Techniques for Vegetation Spectra Derived From EO-1 Hyperion. Journal of the Indian Society of Remote Sensing. 39(4). 443–453. 10 indexed citations
11.
Pandya, Mehul R., et al.. (2011). Influence of Atmospheric Water Vapour on IRS NIR Measurements for Detecting Vegetation Signal. Part I: A Simulation Study Using MODTRAN. Journal of the Indian Society of Remote Sensing. 40(2). 215–223. 3 indexed citations
12.
Pandya, Mehul R., et al.. (2011). Influence of Atmospheric Water Vapour on IRS NIR Measurements for Detecting Vegetation Signal. Part II: Validation of Simulation Results using Hyperion Data. Journal of the Indian Society of Remote Sensing. 40(2). 225–229. 2 indexed citations
13.
Gupta, Praveen Kumar, Sushma Panigrahy, & Jai Singh Parihar. (2011). Impact of Climate Change on Runoff of the Major River Basins of India Using Global Circulation Model (HadCM3) Projected Data. Journal of the Indian Society of Remote Sensing. 39(3). 337–344. 16 indexed citations
14.
Bhattacharya, Bimal K., et al.. (2011). Albedo-rainfall Feedback Over Indian Monsoon Region Using Long Term Observations Between 1981 to 2000. Journal of the Indian Society of Remote Sensing. 39(3). 393–406. 5 indexed citations
15.
Panigrahy, Sushma, et al.. (2011). Sampling Design for Global Scale Mapping and Monitoring of Agriculture. Journal of the Indian Society of Remote Sensing. 39(3). 407–413. 2 indexed citations
16.
Panigrahy, Sushma, S. S. Ray, K. R. Manjunath, et al.. (2011). A Spatial Database of Cropping System and its Characteristics to Aid Climate Change Impact Assessment Studies. Journal of the Indian Society of Remote Sensing. 39(3). 355–364. 17 indexed citations
17.
Parihar, Jai Singh, et al.. (2010). Study of Physical Phenomena of Vegetation Using Polarimetric Scattering indices and Entropy. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 4(2). 432–438. 16 indexed citations
18.
Parihar, Jai Singh, et al.. (2006). FASAL: an integrated approach for crop assessment and production forecasting. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6411. 641101–641101. 37 indexed citations
19.
Patel, Parul, Hema Srivastava, Sushma Panigrahy, & Jai Singh Parihar. (2006). Comparative evaluation of the sensitivity of multi‐polarized multi‐frequency SAR backscatter to plant density. International Journal of Remote Sensing. 27(2). 293–305. 88 indexed citations
20.
Bhattacharya, Bimal K., et al.. (2006). Field‐scale Leaf Area Index estimation using IRS‐1D LISS‐III data. International Journal of Remote Sensing. 27(4). 637–644. 15 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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