Shiva Mehta

2.7k total citations · 2 hit papers
231 papers, 1.4k citations indexed

About

Shiva Mehta is a scholar working on Plant Science, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shiva Mehta has authored 231 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Plant Science, 36 papers in Artificial Intelligence and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shiva Mehta's work include Smart Agriculture and AI (98 papers), Plant Disease Management Techniques (36 papers) and Brain Tumor Detection and Classification (24 papers). Shiva Mehta is often cited by papers focused on Smart Agriculture and AI (98 papers), Plant Disease Management Techniques (36 papers) and Brain Tumor Detection and Classification (24 papers). Shiva Mehta collaborates with scholars based in India, Zimbabwe and Oman. Shiva Mehta's co-authors include Vinay Kukreja, Satvik Vats, Amit Gupta, Rishika Yadav, Richa Gupta, Vikrant Sharma, Manisha Aeri, Dibyahash Bordoloi, Ankit Bansal and Manika Manwal and has published in prestigious journals such as International Journal of Gynecology & Obstetrics, Current Medical Imaging Formerly Current Medical Imaging Reviews and Biomedical & Pharmacology Journal.

In The Last Decade

Shiva Mehta

154 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Revolutionizing Maize Disease Management with Federated Learning CNNs: A Decentralized and Privacy-Sensitive Approach

2023 88 citations Shiva Mehta, Vinay Kukreja et al. profile →
Empowering Farmers with AI: Federated Learning of CNNs for Wheat Diseases Multi-Classification

2023 74 citations Shiva Mehta, Vinay Kukreja et al. profile →

Peers

Shiva Mehta

PS

AI

CVPR

IS

CNC

Daniela Elena Popescu Romania

Shagun Sharma India

Adnan Zeb China

Ankit Bansal India

Kemal Adem Türkiye

Sakshi Sakshi India

Tawseef Ayoub Shaikh India

Guna Sekhar Sajja United States

Seong Joon Yoo South Korea

Ersin Elbaşı Kuwait

Daniela Elena Popescu Romania

Shiva Mehta

286 ×0.5

PS

190 ×0.7

AI

171 ×1.2

CVPR

94 ×1.0

IS

57 ×0.6

CNC

Citations per year, relative to Shiva Mehta Shiva Mehta (= 1×) peers Daniela Elena Popescu

Countries citing papers authored by Shiva Mehta

Since Specialization

Citations

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

Fields of papers citing papers by Shiva Mehta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiva Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Shiva Mehta. A scholar is included among the top collaborators of Shiva Mehta 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 Shiva Mehta. Shiva Mehta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Vats, Satvik, et al.. (2024). Strawberry Leaf Disease Severity Decoded for Agriculture: A Federated Learning CNN Approach. 1–6. 2 indexed citations

2.

Mehta, Shiva, et al.. (2024). Empowering a Violence Prevention with CNN-SVM based Classification. 1–6. 2 indexed citations

3.

Mehta, Shiva, et al.. (2024). Expanding the Horizons of Chinese Text Classification with Federated Learning Across Domains. 1–5.

4.

Kukreja, Vinay, et al.. (2024). Innovative Innings: Exploring Cricket Shot Categories with CNN-SVM Methodologies. 1–6. 2 indexed citations

5.

Kukreja, Vinay, et al.. (2024). The Future of Crop Health: CNN-Based Smut Disease Detection in Sugarcane. 1–5. 1 indexed citations

6.

Garg, Ashish, et al.. (2024). Smart Agriculture: Innovating Soybean Leaf Disease Detection with Federated Learning CNNs. 1–6. 2 indexed citations

7.

Mehta, Shiva, et al.. (2024). Deep Learning Dermoscopy: Unveiling CNN-SVM Synergy in Skin Lesion Detection. 1–5. 3 indexed citations

8.

Mehta, Shiva, et al.. (2024). ECG Data Security and Privacy: Leveraging Federated Learning for Better Classification. 1–6. 2 indexed citations

9.

Mehta, Shiva, et al.. (2024). Improving Drone Operational Efficiency through IoT-Blockchain Integration. 1–5. 9 indexed citations

10.

Mehta, Shiva, et al.. (2024). Advancing IoT Security through Federated Learning: A Comprehensive Approach. 561–566. 4 indexed citations

11.

Mehta, Shiva, et al.. (2024). Maximizing Privacy in Reinforcement Learning with Federated Approaches. 1–5. 3 indexed citations

12.

Mehta, Shiva, et al.. (2024). Blockchain-Enhanced Federated Learning: A New Paradigm for Secure Distributed Machine Learning. 1–5. 2 indexed citations

13.

Kukreja, Vinay, et al.. (2024). Stratifying Leaf Disease Impact in Strawberry Agriculture with Federated Learning CNNs. 9. 1–6. 1 indexed citations

14.

Mehta, Shiva, et al.. (2024). Harmonic Harmony: Advancing Musical Instrument Classification through CNN-SVM. 1–5.

15.

Choudhary, Ankur, et al.. (2024). Pioneering Crop Health in Agriculture: Federated Learning CNNs in Papaya Leaf Disease Detection. 1–6. 1 indexed citations

16.

Kukreja, Vinay, et al.. (2023). Deciphering Okra Leaf Diseases: Federated Learning CNN at the Frontier of Agricultural Science. 1–6. 1 indexed citations

17.

Kukreja, Vinay, et al.. (2023). Transforming Okra Cultivation: A Study on Leaf Disease Using Federated Learning CNNs. 1–6. 1 indexed citations

18.

Mehta, Shiva, Vinay Kukreja, & Rishika Yadav. (2023). A Federated Learning CNN Approach for Tomato Leaf Disease with Severity Analysis. 309–314. 58 indexed citations

19.

Mehta, Shiva, Vinay Kukreja, & Amit Gupta. (2023). Exploring the Efficacy of CNN and SVM Models for Automated Damage Severity Classification in Heritage Buildings. 252–257. 23 indexed citations

20.

Sharma, Vikrant, et al.. (2023). Navigating Agricultural Frontiers: Federated Learning CNNs for Banana Leaf Disease Resilience. 1–6.

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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