Ankit Bansal

1.2k total citations
64 papers, 722 citations indexed

About

Ankit Bansal is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Ankit Bansal has authored 64 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Management Science and Operations Research. Recurrent topics in Ankit Bansal's work include Smart Agriculture and AI (16 papers), Spectroscopy and Chemometric Analyses (7 papers) and Plant Virus Research Studies (6 papers). Ankit Bansal is often cited by papers focused on Smart Agriculture and AI (16 papers), Spectroscopy and Chemometric Analyses (7 papers) and Plant Virus Research Studies (6 papers). Ankit Bansal collaborates with scholars based in India, United States and United Kingdom. Ankit Bansal's co-authors include Vinay Kukreja, Rishabh Sharma, Anuj Kumar Jain, Vikrant Sharma, Pravin Kumar, Deepak Kumar, Shiva Mehta, Vikas Solanki, Sunil Gupta and Rajesh Kumar Kaushal and has published in prestigious journals such as Computers & Operations Research, Postgraduate Medical Journal and Biomedical Signal Processing and Control.

In The Last Decade

Ankit Bansal

58 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankit Bansal India 16 234 102 85 71 68 64 722
Guna Sekhar Sajja United States 12 173 0.7× 114 1.1× 135 1.6× 120 1.7× 50 0.7× 35 689
Mashael Khayyat Saudi Arabia 14 96 0.4× 133 1.3× 215 2.5× 97 1.4× 80 1.2× 61 654
Ali Yaşar Türkiye 15 126 0.5× 222 2.2× 49 0.6× 94 1.3× 60 0.9× 36 732
Rishabh Sharma India 19 701 3.0× 183 1.8× 118 1.4× 95 1.3× 152 2.2× 199 1.5k
Sathian Dananjayan India 11 213 0.9× 53 0.5× 169 2.0× 87 1.2× 38 0.6× 28 611
Ali Tufail Brunei 14 153 0.7× 98 1.0× 189 2.2× 108 1.5× 142 2.1× 54 708
Prashant Johri India 14 66 0.3× 189 1.9× 142 1.7× 212 3.0× 144 2.1× 129 820
Rahul Joshi India 14 54 0.2× 120 1.2× 105 1.2× 67 0.9× 67 1.0× 70 625
Milon Biswas Bangladesh 13 64 0.3× 91 0.9× 123 1.4× 138 1.9× 96 1.4× 45 539
Shuangyuan Yang China 13 110 0.5× 116 1.1× 28 0.3× 33 0.5× 116 1.7× 41 459

Countries citing papers authored by Ankit Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Bansal

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Bansal. A scholar is included among the top collaborators of Ankit Bansal 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 Ankit Bansal. Ankit Bansal 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.
Kukreja, Vinay, et al.. (2025). BrainDx: a dual-transformer framework using PVT and SegFormer for tumor diagnosis. Biomedical Signal Processing and Control. 113. 108917–108917.
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Bansal, Ankit, et al.. (2023). Bridging the Strawberry Cultivation Gap: Federated Learning CNN for Disease Detection. 433–439. 6 indexed citations
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Bansal, Ankit, Rishabh Sharma, Vinay Kukreja, Amitoj Singh, & Satvik Vats. (2023). Sustainable PRS: A hybrid DL-based parcel recognition approach. 7 indexed citations
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Gupta, Sunil, et al.. (2023). An EEG-Based Brain-Computer Interface for Guiding Mobile Robots. 268–273. 1 indexed citations
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Sharma, Rishabh, et al.. (2023). Implementation of Deep Learning Technique for Citrus Leaf Blotch Disease Severity Detection. 7. 168–172. 1 indexed citations
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Kumar, Deepak, Vinay Kukreja, Anuj Kumar Jain, & Ankit Bansal. (2023). Architecture Heritage Recognition Using YOLACT Instance Segmentation. 5. 214–219. 3 indexed citations
11.
Gupta, Sunil, et al.. (2023). A case study on the classification of brain tumour by deep learning using convolutional neural network. AIP conference proceedings. 2782. 20027–20027. 15 indexed citations
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Bansal, Ankit, et al.. (2023). 3D-CNN Empowered Assistive Machine Learning Model for the Hearing Impaired. 6 indexed citations
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Bansal, Ankit, et al.. (2023). Energy Optimization Algorithms Study On Routing Protocol In Wireless Sensor Network. 291. 1–6. 1 indexed citations
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Bansal, Ankit, et al.. (2022). Coordination of Intraoperative Neurophysiologic Monitoring Technologist and Surgery Schedules. Journal of Medical Systems. 46(10). 67–67.
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Bansal, Ankit, et al.. (2022). Applying Neural Imaging and ML to OCD Severity Prediction. 9 indexed citations
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Bansal, Ankit, et al.. (2021). An Algorithm for Pairing Interventionalists and Surgeons for the TAVR Procedure. Journal of Medical Systems. 45(4). 53–53. 1 indexed citations
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Bansal, Ankit, et al.. (2019). A COMPARATIVE STUDY OF CLOUD AND FOG COMPUTING. Journal of Emerging Technologies and Innovative Research. 6(5). 310-314–310-314. 1 indexed citations
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Bansal, Ankit, et al.. (2014). Evaluation of vendors ranking by EATWOS approach. Journal of Advances in Management Research. 11(3). 290–311. 22 indexed citations
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Bansal, Ankit, et al.. (2013). 3PL selection: A multi-criteria decision making approach. 981–985. 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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