Naresh Kumar Trivedi

1.2k total citations · 1 hit paper
73 papers, 615 citations indexed

About

Naresh Kumar Trivedi is a scholar working on Plant Science, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Naresh Kumar Trivedi has authored 73 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 18 papers in Artificial Intelligence and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Naresh Kumar Trivedi's work include Smart Agriculture and AI (20 papers), Spectroscopy and Chemometric Analyses (9 papers) and Artificial Intelligence in Healthcare (7 papers). Naresh Kumar Trivedi is often cited by papers focused on Smart Agriculture and AI (20 papers), Spectroscopy and Chemometric Analyses (9 papers) and Artificial Intelligence in Healthcare (7 papers). Naresh Kumar Trivedi collaborates with scholars based in India, Indonesia and Saudi Arabia. Naresh Kumar Trivedi's co-authors include Vinay Gautam, Abhineet Anand, Nitin Goyal, Amandeep Kaur, Kalpna Guleria, Hani Moaiteq Aljahdali, Divya Anand, Santos Gràcia Villar, Seifedine Kadry and Raj Gaurang Tiwari and has published in prestigious journals such as Sensors, Sustainability and Biomedical Signal Processing and Control.

In The Last Decade

Naresh Kumar Trivedi

59 papers receiving 579 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.

Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network

2021 235 citations Naresh Kumar Trivedi, Vinay Gautam et al. Sensors profile →

Peers

Countries citing papers authored by Naresh Kumar Trivedi

Since Specialization

Citations

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

Fields of papers citing papers by Naresh Kumar Trivedi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naresh Kumar Trivedi. 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 Naresh Kumar Trivedi. The network helps show where Naresh Kumar Trivedi may publish in the future.

Co-authorship network of co-authors of Naresh Kumar Trivedi

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Adaptive neuro-FUZZY inference system-fusion-deep belief network for brain tumor detection using MRI images with feature extraction 2024 ·Biomedical Signal Processing and Control ·Raj Gaurang Tiwari, Alok Misra, (unknown), Vinay Gautam, Puneet Sharma, Naresh Kumar Trivedi	1
2	Identifying and Categorizing Alzheimer's Disease with Lightweight Federated Learning Using Identically Distributed Images 2024 ·Naresh Kumar Trivedi, Sachin Jain, (unknown)	4
3	Deep Acne: Advancing Automated Acne Identification through Deep Neural Networks 2024 ·Naresh Kumar Trivedi, (unknown), Raj Gaurang Tiwari, Vinay Gautam, Ambuj Kumar Agarwal, Manish Sharma	2
4	Transfer Learning-Based Optimized Deep Learning Model to Characterize Mango Leaf Disease 2023 ·Raj Gaurang Tiwari, (unknown), Ambuj Kumar Agarwal, Vinay Gautam, Naresh Kumar Trivedi	2
5	Heritage Tourism and Religious Identity: A Deep Neural Network-Based Deductive Classification Approach 2023 ·Vinay Gautam, Raj Gaurang Tiwari, Naresh Kumar Trivedi	7
6	Enhancing Military Surveillance: Advanced Aircraft Image Identification using Hybrid Deep Neural Networks 2023 ·Naresh Kumar Trivedi, (unknown), Raj Gaurang Tiwari, Ambuj Kumar Agarwal, Vinay Gautam	0
7	Alzheimer’s Disease Detection and Classification: An Ensemble Machine Learning Paradigm 2023 ·Naresh Kumar Trivedi, Raj Gaurang Tiwari, Vinay Gautam, Anuj Kumar Jain, (unknown), (unknown)	1
8	Enhancing Face Forgery Detection in a Decentralized Landscape: A Federated Learning Approach with ResNet 2023 ·Vinay Gautam, (unknown), Raj Gaurang Tiwari, Ambuj Kumar Agarwal, Naresh Kumar Trivedi	0
9	Artificial Intelligence Based Approach to Identify Plastic Bottle for Environment Sustainability 2023 ·Vinay Gautam, Raj Gaurang Tiwari, Naresh Kumar Trivedi, Anuj Kumar Jain, Vikrant Sharma	1
10	Enhancing Toxoplasmosis Chorioretinitis Detection: A Hybrid ResNet-YOLO Classifier with Fitness Sorted-Shark Smell Optimization 2023 ·Raj Gaurang Tiwari, (unknown), Vinay Gautam, Ambuj Kumar Agarwal, Naresh Kumar Trivedi	1
11	Multiclass X-Ray Image Classification Using Transfer Learning Based Deep Neural Network 2023 ·Vinay Gautam, Raj Gaurang Tiwari, Naresh Kumar Trivedi, Anuj Kumar Jain	1
12	Liver Cancer Diagnosis with Lightweight Federated Learning Using Identically Distributed Images 2023 ·Naresh Kumar Trivedi, Sunil Shukla, Raj Gaurang Tiwari, Ambuj Kumar Agarwal, Vinay Gautam	1
13	Brain Tumour Diagnosis with Lightweight Federated Learning using Identically Distributed Images 2023 ·Naresh Kumar Trivedi, Sunil Shukla, Ambuj Kumar Agarwal, Raj Gaurang Tiwari, Vinay Gautam	0
14	Cybersecurity Solutions Using AI Techniques 2022 ·2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) ·(unknown), (unknown), Abhineet Anand, Naresh Kumar Trivedi, Vinay Gautam, Srikanta Kumar Mohapatra	2
15	A Transfer Learning-Based Artificial Intelligence Model for Leaf Disease Assessment 2022 ·Sustainability ·Vinay Gautam, Naresh Kumar Trivedi, Aman Singh, Heba G. Mohamed, Irene Delgado Noya, Preet Kaur, Nitin Goyal	45
16	Identification of Rice Varieties Using Machine Learning Algorithms 2022 ·Naresh Kumar Trivedi, Vinay Gautam, Abhineet Anand, Raj Gaurang Tiwari, (unknown)	10
17	EEPSA: Energy Efficiency Priority Scheduling Algorithm for Cloud Computing 2021 ·2021 2nd International Conference on Smart Electronics and Communication (ICOSEC) ·Sarita Simaiya, Vinay Gautam, Umesh Kumar Lilhore, (unknown), (unknown), Naresh Kumar Trivedi, Abhineet Anand	7
18	Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network breakdown → 2021 ·Sensors ·Naresh Kumar Trivedi, Vinay Gautam, Abhineet Anand, Hani Moaiteq Aljahdali, Santos Gràcia Villar, Divya Anand, Nitin Goyal, Seifedine Kadry	235
19	Digital Video Watermarking: Features, Techniques, and Challenges 2021 ·Annals of the Romanian Society for Cell Biology ·(unknown), Abhineet Anand, Naresh Kumar Trivedi, Mohit Kumar Sharma, Jaskaran Singh	3
20	An improved random forest algorithm for predicting the COVID-19 pandemic patient health 2021 ·Annals of the Romanian Society for Cell Biology ·Suman Kumar, Umesh Kumar Lilhore, Sarita Simaiya, Naresh Kumar Trivedi	15

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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