Gaurav Singhal

506 total citations
20 papers, 360 citations indexed

About

Gaurav Singhal is a scholar working on Ecology, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gaurav Singhal has authored 20 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 5 papers in Plant Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gaurav Singhal's work include Remote Sensing in Agriculture (6 papers), Smart Agriculture and AI (5 papers) and Spectroscopy and Chemometric Analyses (3 papers). Gaurav Singhal is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Smart Agriculture and AI (5 papers) and Spectroscopy and Chemometric Analyses (3 papers). Gaurav Singhal collaborates with scholars based in India, Finland and Spain. Gaurav Singhal's co-authors include Babankumar S. Bansod, Lini Mathew, Burhan U. Choudhury, Jonali Goswami, Ganesh K. Venayagamoorthy, P. L. N. Raju, Ritula Thakur, Santanu Chaudhury, Marcel Salathé and Harris Héritier and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Engineering Applications of Artificial Intelligence.

In The Last Decade

Gaurav Singhal

19 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaurav Singhal India 10 114 86 66 58 49 20 360
Hamid Jafarbiglu United States 8 73 0.6× 61 0.7× 26 0.4× 59 1.0× 55 1.1× 9 306
Minhua Yang China 10 164 1.4× 76 0.9× 22 0.3× 108 1.9× 37 0.8× 20 419
Gülşen Taşkın Türkiye 13 131 1.1× 67 0.8× 56 0.8× 102 1.8× 90 1.8× 62 598
Xiaoyan Zhao China 11 60 0.5× 72 0.8× 38 0.6× 51 0.9× 27 0.6× 54 523
Ujjwal Verma India 13 43 0.4× 93 1.1× 49 0.7× 82 1.4× 165 3.4× 39 462
Juan Xiao China 9 37 0.3× 53 0.6× 28 0.4× 41 0.7× 40 0.8× 36 315
Guangjun Zhang China 10 42 0.4× 69 0.8× 87 1.3× 26 0.4× 126 2.6× 31 403
Weirong Chen China 11 68 0.6× 191 2.2× 30 0.5× 86 1.5× 69 1.4× 17 470
Juan Sandino Australia 10 162 1.4× 137 1.6× 151 2.3× 92 1.6× 144 2.9× 34 464
Shuo Zhuang China 11 97 0.9× 143 1.7× 86 1.3× 34 0.6× 120 2.4× 25 398

Countries citing papers authored by Gaurav Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Singhal. A scholar is included among the top collaborators of Gaurav Singhal 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 Gaurav Singhal. Gaurav Singhal 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.
Narzari, Rumi, et al.. (2025). A critical review of how UAVs can transform precision agriculture in the realm of Agroecology. SHILAP Revista de lepidopterología. 2(1). 5 indexed citations
2.
Singhal, Gaurav, Burhan U. Choudhury, Naseeb Singh, & Jonali Goswami. (2024). An enhanced chlorophyll estimation model with a canopy structural trait in maize crops: Use of multi-spectral UAV images and machine learning algorithm. Ecological Informatics. 83. 102811–102811. 9 indexed citations
3.
Singhal, Gaurav, et al.. (2023). Currency Detection for Visually Impaired People using Edge Devices. 498–503. 1 indexed citations
4.
Singhal, Gaurav, et al.. (2022). Solar disinfection – An appropriate water treatment method to inactivate faecal bacteria in cold climates. The Science of The Total Environment. 827. 154086–154086. 13 indexed citations
5.
Mohanty, Sharada P., et al.. (2022). The Food Recognition Benchmark: Using Deep Learning to Recognize Food in Images. Frontiers in Nutrition. 9. 875143–875143. 30 indexed citations
6.
Levchuk, Irina, Tomáš Homola, Gaurav Singhal, et al.. (2022). UVA and solar driven photocatalysis with rGO/TiO2/polysiloxane for inactivation of pathogens in recirculation aquaculture systems (RAS) streams. Chemical Engineering Journal Advances. 10. 100243–100243. 6 indexed citations
7.
Singhal, Gaurav, et al.. (2019). Comparison of Parametric and Non-Parametric Methods for Chlorophyll Estimation based on High-Resolution UAV Imagery. Current Science. 117(11). 1874–1874. 11 indexed citations
8.
Singhal, Gaurav, Babankumar S. Bansod, Lini Mathew, et al.. (2019). Chlorophyll estimation using multi-spectral unmanned aerial system based on machine learning techniques. Remote Sensing Applications Society and Environment. 15. 100235–100235. 62 indexed citations
9.
Singhal, Gaurav, Babankumar S. Bansod, Lini Mathew, et al.. (2019). Estimation of Leaf Chlorophyll Concentration in Turmeric (Curcuma longa) Using High-Resolution Unmanned Aerial Vehicle Imagery Based on Kernel Ridge Regression. Journal of the Indian Society of Remote Sensing. 47(7). 1111–1122. 18 indexed citations
10.
11.
Singhal, Gaurav, Babankumar S. Bansod, & Lini Mathew. (2018). Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review. Preprints.org. 98 indexed citations
12.
Bansod, Babankumar S., et al.. (2017). A comparision between satellite based and drone based remote sensing technology to achieve sustainable development: a review. SHILAP Revista de lepidopterología. 45 indexed citations
13.
Singhal, Gaurav & Sumit Kumar. (2017). Growth of Spirulina maxima in Different Physical Conditions. IOSR Journal of Pharmacy and Biological Sciences. 12(3). 40–44. 1 indexed citations
14.
Singhal, Gaurav, et al.. (2009). Piecewise multi-classification support vector machines. 44. 2323–2330. 5 indexed citations
15.
Singhal, Gaurav. (2006). Application of swarm and evolutionary techniques to neural network training and partitioning combinational CMOS. 1 indexed citations
16.
Venayagamoorthy, Ganesh K., Scott C. Smith, & Gaurav Singhal. (2006). Particle swarm-based optimal partitioning algorithm for combinational CMOS circuits. Engineering Applications of Artificial Intelligence. 20(2). 177–184. 11 indexed citations
17.
Venayagamoorthy, Ganesh K. & Gaurav Singhal. (2005). Quantum-Inspired Evolutionary Algorithms and Binary Particle Swarm Optimization for Training MLP and SRN Neural Networks. Journal of Computational and Theoretical Nanoscience. 2(4). 561–568. 18 indexed citations
18.
Singhal, Gaurav, et al.. (2005). Gabor filter based fingerprint classification using support vector machines. 256–261. 20 indexed citations
19.
Singhal, Gaurav & Ganesh K. Venayagamoorthy. (2004). Comparison of Quantum-inspired Evolutionary Algorithm and Particle Swarm Optimization for Neural Network Training. 1 indexed citations
20.
Behera, Laxmidhar, et al.. (2003). Speech Enhancement using a Recurrent Quantum Neural Network.. Indian International Conference on Artificial Intelligence. 43–56. 1 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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