Vikrant Sharma

6.1k total citations · 3 hit papers
177 papers, 3.1k citations indexed

About

Vikrant Sharma is a scholar working on Plant Science, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Vikrant Sharma has authored 177 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 32 papers in Artificial Intelligence and 29 papers in Computer Networks and Communications. Recurrent topics in Vikrant Sharma's work include Smart Agriculture and AI (31 papers), Plant Disease Management Techniques (13 papers) and Photovoltaic System Optimization Techniques (13 papers). Vikrant Sharma is often cited by papers focused on Smart Agriculture and AI (31 papers), Plant Disease Management Techniques (13 papers) and Photovoltaic System Optimization Techniques (13 papers). Vikrant Sharma collaborates with scholars based in India, United States and Saudi Arabia. Vikrant Sharma's co-authors include Shyam Singh Chandel, Satvik Vats, O.S. Sastry, Vinay Kukreja, Devendra Prasad, Ali Ahmadian, Birinchi Bora, Priyanshu Rawat, Karan Singh and Arun Kumar and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Chemical Engineering Journal and Chemosphere.

In The Last Decade

Vikrant Sharma

140 papers receiving 3.0k citations

Hit Papers

Incremental learning-based cascaded model for detection a... 2022 2026 2023 2024 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images
    2023 148 citations Satvik Vats, Vikrant Sharma et al. profile →
  2. Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images
    2024 121 citations Satvik Vats, Vikrant Sharma et al. profile →
  3. OGAS: Omni-directional Glider Assisted Scheme for autonomous deployment of sensor nodes in open area wireless sensor network
    2022 114 citations Vikrant Sharma, Satvik Vats et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikrant Sharma India 25 1.3k 872 871 361 304 177 3.1k
Luís Hernández-Callejo Spain 31 899 0.7× 697 0.8× 2.6k 3.0× 366 1.0× 130 0.4× 155 4.0k
Hashim Hizam Malaysia 39 1.8k 1.4× 1.3k 1.5× 3.5k 4.0× 427 1.2× 533 1.8× 192 5.6k
Raúl Baños Spain 23 358 0.3× 350 0.4× 1.0k 1.2× 234 0.6× 255 0.8× 81 3.0k
Nnamdi Nwulu South Africa 29 567 0.5× 250 0.3× 1.8k 2.0× 324 0.9× 466 1.5× 209 3.6k
Huanxin Chen China 41 865 0.7× 723 0.8× 2.1k 2.4× 743 2.1× 71 0.2× 96 5.0k
Chao Huang China 26 706 0.6× 857 1.0× 1.5k 1.7× 247 0.7× 77 0.3× 85 3.1k
C. Gil Spain 23 451 0.4× 341 0.4× 1.2k 1.4× 273 0.8× 303 1.0× 59 3.0k
Mohit Bajaj India 41 895 0.7× 532 0.6× 5.3k 6.0× 122 0.3× 172 0.6× 444 6.8k
Bing Dong United States 40 844 0.7× 427 0.5× 2.0k 2.3× 1.5k 4.1× 89 0.3× 118 5.5k
Naveen Kumar Sharma India 28 365 0.3× 434 0.5× 862 1.0× 81 0.2× 223 0.7× 134 2.7k

Countries citing papers authored by Vikrant Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Vikrant Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikrant Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Vikrant Sharma. A scholar is included among the top collaborators of Vikrant Sharma 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 Vikrant Sharma. Vikrant Sharma 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.
Sharma, Vikrant. (2025). Improving Intrusion Detection with Hybrid Deep Learning Models: A Study on CIC-IDS2017, UNSW-NB15, and KDD CUP 99. Journal of Information Systems Engineering & Management. 10(11s). 633–650. 1 indexed citations
2.
Singh, Gaurav, et al.. (2024). AI Guardian on the Road: Harnessing Machine Learning for Two-Wheeler Helmet Detection. 59–64. 1 indexed citations
3.
Narang, H.K., et al.. (2024). Breast Cancer Prediction Using Deep Learning And Transfer Learning. 1–5. 2 indexed citations
4.
Tiwari, Sandeep, et al.. (2024). Secondary Batteries for Sustainable Energy: A Comprehensive Review of the Indian Landscape. 413–417. 2 indexed citations
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Sarkar, Tiyas, et al.. (2024). Enhanced Data Security Framework Using Lightweight Cryptography and Multi-Level Encryption. 720–725. 24 indexed citations
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Das, Lipsa, et al.. (2024). Data-Driven Healthcare Management, Analysis, and Future Trends. 1692–1698. 2 indexed citations
10.
Kumar, Ravi, et al.. (2024). Enhancing Crop Health, A Novel CNN-SVM Hybrid Model for Litchi Disease Detection. 1–5. 1 indexed citations
11.
Sharma, Vikrant, et al.. (2024). Dehazing Algorithms for Improved Visibility: Comparative Analysis. 51–58. 1 indexed citations
12.
Narang, H.K., et al.. (2024). A Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection. 8. 1–4. 3 indexed citations
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14.
Sarkar, Tiyas, Manik Rakhra, Vikrant Sharma, & Amanpreet Singh. (2024). An Empirical Comparison of Machine Learning Techniques for Bank Loan Approval Prediction. 137–143. 23 indexed citations
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16.
Rawat, Priyanshu, et al.. (2023). A Study on Cervical Cancer Prediction using Various Machine Learning Approaches. 1101–1107. 18 indexed citations
17.
Sharma, Vikrant, Satvik Vats, Priyanshu Rawat, & Madhvan Bajaj. (2023). Crop recommendation system: A review. 384–396. 5 indexed citations
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Rawat, Priyanshu, et al.. (2023). A Study on Liver Disease Using Different Machine Learning Algorithms. 22. 721–727. 7 indexed citations
20.
Srivastava, Durgesh, et al.. (2023). A novel approach to data hiding using high payload capacity. 4. 1–5.

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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