Prachi Singh

1.7k total citations
49 papers, 941 citations indexed

About

Prachi Singh is a scholar working on Plant Science, Ecology and Analytical Chemistry. According to data from OpenAlex, Prachi Singh has authored 49 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 18 papers in Ecology and 9 papers in Analytical Chemistry. Recurrent topics in Prachi Singh's work include Remote Sensing in Agriculture (16 papers), Plant-Microbe Interactions and Immunity (11 papers) and Spectroscopy and Chemometric Analyses (9 papers). Prachi Singh is often cited by papers focused on Remote Sensing in Agriculture (16 papers), Plant-Microbe Interactions and Immunity (11 papers) and Spectroscopy and Chemometric Analyses (9 papers). Prachi Singh collaborates with scholars based in India, Greece and Spain. Prachi Singh's co-authors include Abhishek Baheti, K. R. Justin Thomas, Kuo–Chuan Ho, Anukool Vaishnav, Harikesh Bahadur Singh, Jyoti Singh, Rahul Singh Rajput, Prashant K. Srivastava, Chuan‐Pei Lee and Ajay Kumar and has published in prestigious journals such as Nature, The Journal of Organic Chemistry and Frontiers in Microbiology.

In The Last Decade

Prachi Singh

46 papers receiving 910 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prachi Singh India 17 362 190 182 166 95 49 941
Jianfan Sun China 21 498 1.4× 101 0.5× 215 1.2× 38 0.2× 222 2.3× 70 1.2k
Tingting Cao China 13 142 0.4× 73 0.4× 201 1.1× 54 0.3× 153 1.6× 47 754
Jong Moon Yoon United States 19 252 0.7× 132 0.7× 218 1.2× 33 0.2× 736 7.7× 31 1.4k
Jianwei Guo China 17 418 1.2× 133 0.7× 170 0.9× 315 1.9× 290 3.1× 93 1.3k
Naoki Harada Japan 22 511 1.4× 262 1.4× 258 1.4× 16 0.1× 221 2.3× 96 1.5k
Mohd Zeeshan India 16 325 0.9× 63 0.3× 148 0.8× 132 0.8× 110 1.2× 52 871
Yong Jia China 20 581 1.6× 222 1.2× 80 0.4× 71 0.4× 147 1.5× 48 1.2k
Mitsuru Abo Japan 16 562 1.6× 57 0.3× 60 0.3× 34 0.2× 394 4.1× 46 1.1k
Claus Härtig Germany 17 137 0.4× 140 0.7× 37 0.2× 76 0.5× 371 3.9× 29 847
Bo Xie China 15 485 1.3× 107 0.6× 33 0.2× 118 0.7× 361 3.8× 41 1.0k

Countries citing papers authored by Prachi Singh

Since Specialization
Citations

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

Fields of papers citing papers by Prachi Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prachi Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Prachi Singh. A scholar is included among the top collaborators of Prachi 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 Prachi Singh. Prachi 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.
Pandey, Prem Chandra, et al.. (2024). Vegetation discrimination based on chlorophyll prediction in Marshy wetland using Unmanned Aerial Vehicles. Aquatic Conservation Marine and Freshwater Ecosystems. 34(5). 2 indexed citations
3.
Srivastava, Prashant K., et al.. (2024). Soil chemical properties estimation using hyperspectral remote sensing: A review. Elsevier eBooks. 25–43. 2 indexed citations
4.
Ray, Shatrupa, Prachi Singh, Jyoti Singh, et al.. (2023). Killed fungal pathogen triggers antifungal metabolites in Alcaligenes faecalis for plant defense. Physiological and Molecular Plant Pathology. 125. 101996–101996. 1 indexed citations
5.
Singh, Prachi, et al.. (2023). Leaf chlorophyll content retrieval for AVIRIS-NG imagery using different feature selection and wavelet analysis. Advances in Space Research. 73(2). 1304–1315. 3 indexed citations
6.
Singh, Prachi, Prashant K. Srivastava, Jochem Verrelst, et al.. (2023). High resolution retrieval of leaf chlorophyll content over Himalayan pine forest using Visible/IR sensors mounted on UAV and radiative transfer model. Ecological Informatics. 75. 102099–102099. 13 indexed citations
7.
Anandan, A., S.R. Prabhukarthikeyan, C. Parameswaran, et al.. (2022). Deciphering environmental factors and defense response of rice genotypes against sheath blight disease. Physiological and Molecular Plant Pathology. 122. 101916–101916. 17 indexed citations
8.
Prasad, Rajendra, et al.. (2022). Evaluation of Simulated AVIRIS-NG Imagery Using a Spectral Reconstruction Method for the Retrieval of Leaf Chlorophyll Content. Remote Sensing. 14(15). 3560–3560. 12 indexed citations
9.
Singh, Prachi, Prashant K. Srivastava, R. K. Mall, Bimal K. Bhattacharya, & Rajendra Prasad. (2022). A hyperspectral R based leaf area index estimator: model development and implementation using AVIRIS-NG. Geocarto International. 37(26). 12792–12809. 4 indexed citations
10.
Srivastava, Prashant K., et al.. (2021). Statistical Unfolding Approach to Understand Influencing Factors for Taxol Content Variation in High Altitude Himalayan Region. Forests. 12(12). 1726–1726. 2 indexed citations
11.
Singh, Prachi, Prashant K. Srivastava, Manish Kumar Pandey, et al.. (2021). Development of hyperspectral indices for anti-cancerous Taxol content estimation in the Himalayan region. Geocarto International. 37(25). 7699–7715. 4 indexed citations
12.
Pandey, Manish Kumar, et al.. (2021). Band selection algorithms for foliar trait retrieval using AVIRIS-NG: a comparison of feature based attribute evaluators. Geocarto International. 37(14). 4071–4087. 11 indexed citations
13.
Jorrín, Beatriz, Marta Maluk, Andrzej Tkacz, et al.. (2021). Genomic Diversity of Pigeon Pea (Cajanus cajan L. Millsp.) Endosymbionts in India and Selection of Potential Strains for Use as Agricultural Inoculants. Frontiers in Plant Science. 12. 680981–680981. 23 indexed citations
14.
Anand, Akash, et al.. (2021). Optimal band characterization in reformation of hyperspectral indices for species diversity estimation. Physics and Chemistry of the Earth Parts A/B/C. 126. 103040–103040. 16 indexed citations
15.
Srivastava, Prashant K., Prachi Singh, R. K. Mall, et al.. (2020). Performance assessment of evapotranspiration estimated from different data sources over agricultural landscape in Northern India. Theoretical and Applied Climatology. 140(1-2). 145–156. 13 indexed citations
16.
Singh, Prachi, Prashant K. Srivastava, Sumit Kumar Chaudhary, et al.. (2020). Denoising AVIRIS-NG Data for Generation of New Chlorophyll Indices. IEEE Sensors Journal. 21(5). 6982–6989. 17 indexed citations
17.
Singh, Prachi, Jyoti Singh, Shatrupa Ray, et al.. (2020). Seed biopriming with antagonistic microbes and ascorbic acid induce resistance in tomato against Fusarium wilt. Microbiological Research. 237. 126482–126482. 54 indexed citations
18.
Rajput, Rahul Singh, et al.. (2019). Trichoderma mediated seed biopriming augments antioxidant and phenylpropanoid activities in tomato plant against Sclerotium rolfsii. Journal of Pharmacognosy and Phytochemistry. 8(3). 2641–2647. 10 indexed citations
19.
Kumar, Ajay, et al.. (2016). Isolation and characterization of bacterial endophytes of Curcuma longa L.. 3 Biotech. 6(1). 60–60. 95 indexed citations
20.
Singh, Prachi, et al.. (2015). Isolation and molecular characterization of rice bacterial blight pathogen Xanthomonas oryzae pv. oryzae from Andaman islands, India. Plant Disease Research. 30(2). 136–141. 3 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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