Jagrati Singh

1.6k total citations
29 papers, 1.0k citations indexed

About

Jagrati Singh is a scholar working on Soil Science, Environmental Chemistry and Global and Planetary Change. According to data from OpenAlex, Jagrati Singh has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Soil Science, 10 papers in Environmental Chemistry and 5 papers in Global and Planetary Change. Recurrent topics in Jagrati Singh's work include Soil Carbon and Nitrogen Dynamics (13 papers), Soil and Water Nutrient Dynamics (9 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). Jagrati Singh is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (13 papers), Soil and Water Nutrient Dynamics (9 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). Jagrati Singh collaborates with scholars based in New Zealand, India and Australia. Jagrati Singh's co-authors include Surinder Saggar, Mohammad Zaman, J. D. Blennerhassett, Nanthi Bolan, Donna Giltrap, K. R. Tate, Anitha Kunhikrishnan, Brajesh K. Singh, Des J. Ross and J. Colin Murrell and has published in prestigious journals such as The Science of The Total Environment, Soil Biology and Biochemistry and The ISME Journal.

In The Last Decade

Jagrati Singh

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jagrati Singh New Zealand 12 668 436 267 168 160 29 1.0k
Karen McGeough United Kingdom 18 702 1.1× 553 1.3× 179 0.7× 297 1.8× 190 1.2× 27 1.1k
Bijesh Maharjan United States 16 734 1.1× 357 0.8× 367 1.4× 135 0.8× 107 0.7× 48 1.1k
G. Rys New Zealand 16 590 0.9× 519 1.2× 194 0.7× 236 1.4× 155 1.0× 44 1.0k
Zhaoqiang Han China 17 612 0.9× 196 0.4× 258 1.0× 181 1.1× 116 0.7× 34 1.0k
Daniele De Rosa Australia 18 456 0.7× 256 0.6× 184 0.7× 218 1.3× 145 0.9× 40 842
Patma Vityakon Thailand 20 851 1.3× 228 0.5× 407 1.5× 144 0.9× 140 0.9× 67 1.3k
Frances C. Hoyle Australia 18 788 1.2× 287 0.7× 266 1.0× 322 1.9× 136 0.8× 29 1.1k
Jingyan Jiang China 8 609 0.9× 220 0.5× 284 1.1× 200 1.2× 77 0.5× 27 925
O. Van Cleemput Belgium 13 458 0.7× 302 0.7× 202 0.8× 205 1.2× 112 0.7× 40 882
Shuangyi Li China 20 846 1.3× 223 0.5× 280 1.0× 245 1.5× 380 2.4× 50 1.4k

Countries citing papers authored by Jagrati Singh

Since Specialization
Citations

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

Fields of papers citing papers by Jagrati Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jagrati Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Jagrati Singh. A scholar is included among the top collaborators of Jagrati Singh 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 Jagrati Singh. Jagrati Singh 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.
2.
Singh, Jagrati, Digvijay Pandey, & Anil Kumar Singh. (2023). Event detection from real-time twitter streaming data using community detection algorithm. Multimedia Tools and Applications. 83(8). 23437–23464. 8 indexed citations
3.
4.
Singh, Jagrati, et al.. (2023). Relevant Tweets Identification from Disaster-related Tweets. 1–6. 2 indexed citations
5.
6.
Sangaiah, Arun Kumar, et al.. (2023). A Deep Convolutional Neural Network for Leaf Disease Detection of Sugarcane. 1–6. 5 indexed citations
7.
Singh, Jagrati, et al.. (2021). Twitter emergency response system during flood-related disaster. International Journal of Emergency Management. 17(2). 177–177. 1 indexed citations
8.
Singh, Jagrati & Anil Kumar Singh. (2020). NSLPCD: Topic based tweets clustering using Node significance based label propagation community detection algorithm. Annals of Mathematics and Artificial Intelligence. 89(3-4). 371–407. 8 indexed citations
9.
Singh, Jagrati, Ishneet Kaur, & Anil Kumar Singh. (2019). Event detection from Twitter data. 3. 793–798. 3 indexed citations
10.
Tate, K. R., Guodong Yuan, Benny K.G. Theng, et al.. (2015). Can geophagy mitigate enteric methane emissions from cattle. 2(1). 1–8. 6 indexed citations
11.
Singh, Jagrati, Anitha Kunhikrishnan, Nanthi Bolan, & Surinder Saggar. (2013). Impact of urease inhibitor on ammonia and nitrous oxide emissions from temperate pasture soil cores receiving urea fertilizer and cattle urine. The Science of The Total Environment. 465. 56–63. 127 indexed citations
12.
Saggar, Surinder, Jagrati Singh, Donna Giltrap, et al.. (2012). Quantification of reductions in ammonia emissions from fertiliser urea and animal urine in grazed pastures with urease inhibitors for agriculture inventory: New Zealand as a case study. The Science of The Total Environment. 465. 136–146. 87 indexed citations
13.
Giltrap, Donna, Surinder Saggar, Jagrati Singh, et al.. (2012). Field-scale verification of nitrous oxide emission reduction with DCD in dairy-grazed pasture using measurements and modelling. Soil Research. 49(8). 696–702. 9 indexed citations
14.
Nazaries, Loïc, K. R. Tate, Des J. Ross, et al.. (2011). Response of methanotrophic communities to afforestation and reforestation in New Zealand. The ISME Journal. 5(11). 1832–1836. 53 indexed citations
15.
Saggar, Surinder, Mike Harvey, Jagrati Singh, et al.. (2010). Chambers, micrometeorological measurements, and the New Zealand Denitrification–Decomposition model for nitrous oxide emission estimates from an irrigated dairy-grazed pasture. Journal of Integrative Environmental Sciences. 7(sup1). 61–70. 15 indexed citations
16.
Giltrap, Donna, et al.. (2009). A preliminary study to model the effects of a nitrification inhibitor on nitrous oxide emissions from urine-amended pasture. Agriculture Ecosystems & Environment. 136(3-4). 310–317. 44 indexed citations
17.
Singh, Jagrati, Surinder Saggar, Donna Giltrap, & Nanthi Bolan. (2008). Decomposition of dicyandiamide (DCD) in three contrasting soils and its effect on nitrous oxide emission, soil respiratory activity, and microbial biomass—an incubation study. Soil Research. 46(7). 517–525. 106 indexed citations
18.
Harvey, Mike, Elizabeth Pattey, Surinder Saggar, et al.. (2008). Verification techniques for N2O emission at the paddock scale in New Zealand: FarmGas2006. Australian Journal of Experimental Agriculture. 48(2). 138–138. 6 indexed citations
19.
Saggar, Surinder, K. R. Tate, Donna Giltrap, & Jagrati Singh. (2007). Soil-atmosphere exchange of nitrous oxide and methane in New Zealand terrestrial ecosystems and their mitigation options: a review. Plant and Soil. 309(1-2). 25–42. 95 indexed citations
20.
Singh, Jagrati, et al.. (1997). Effect of Organic Materials on Ammonhl Volatilization Losses from Urea under Submerged Condition. Journal of the Indian Society of Soil Science. 45(4). 822–825. 4 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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