Mohit Agarwal

2.5k total citations · 2 hit papers
55 papers, 1.4k citations indexed

About

Mohit Agarwal is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence. According to data from OpenAlex, Mohit Agarwal has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Plant Science and 9 papers in Artificial Intelligence. Recurrent topics in Mohit Agarwal's work include Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Mohit Agarwal is often cited by papers focused on Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Mohit Agarwal collaborates with scholars based in India, United States and Italy. Mohit Agarwal's co-authors include Suneet Gupta, Kanad K. Biswas, Amit Sinha, Siddhartha Kumar Arjaria, Raghupathy Sivakumar, Suneet Kumar Gupta, Tanveer Hussain, Debabrata Samanta, Hikmat Yar and Zulfiqar Ahmad Khan and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Neurocomputing.

In The Last Decade

Mohit Agarwal

51 papers receiving 1.3k 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.

ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network

2020 400 citations Mohit Agarwal, Amit Sinha et al. profile →
Development of Efficient CNN model for Tomato crop disease identification

2020 225 citations Mohit Agarwal, Suneet Gupta et al. profile →

Peers

Countries citing papers authored by Mohit Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Mohit Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Agarwal. A scholar is included among the top collaborators of Mohit Agarwal 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 Mohit Agarwal. Mohit Agarwal 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	Federated Learning With Dataset Splitting and Weighted Mean Using Particle Swarm Optimization 2024 ·IEEE Access ·Mohit Agarwal, (unknown), Rohit Kumar Kaliyar, Akansha Singh, Krishna Kant Singh, Sameh Askar, Mohamed Abouhawwash	0
2	Pruning techniques for artificial intelligence networks: a deeper look at their engineering design and bias: the first review of its kind 2024 ·Multimedia Tools and Applications ·Lopamudra Mohanty, Ashish Kumar, (unknown), Mohit Agarwal, Jasjit S. Suri	2
3	Skin Disease Classification with Help of Artificial Intelligence Techniques 2024 ·Mohit Agarwal, (unknown), (unknown)	0
4	Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model 2023 ·International Journal of Machine Learning and Cybernetics ·Mohit Agarwal, Suneet Gupta, Kanad K. Biswas	10
5	Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization 2023 ·Neural Computing and Applications ·Mohit Agarwal, Suneet Kumar Gupta, Kanad K. Biswas	15
6	Diagnosis of Lumbar Spondylolisthesis Using Optimized Pretrained CNN Models 2022 ·Computational Intelligence and Neuroscience ·(unknown), (unknown), (unknown), Jyotir Moy Chatterjee, Mohit Agarwal	11
7	Compression and acceleration of convolution neural network: a Genetic Algorithm based approach 2022 ·Journal of Ambient Intelligence and Humanized Computing ·Mohit Agarwal, Suneet Gupta, Mainak Biswas, Deepak Garg	7
8	Differential Evolution based compression of CNN for Apple fruit disease classification 2022 ·Mohit Agarwal, (unknown), Suneet Gupta	8
9	Algorithms for addressing line-of-sight issues in mmWave WiFi networks using access point mobility 2021 ·Journal of Parallel and Distributed Computing ·(unknown), (unknown), (unknown), Mohit Agarwal, Yuchen Liu, Douglas M. Blough, Raghupathy Sivakumar	2
10	A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort 2021 ·Journal of Medical Systems ·Mohit Agarwal, Luca Saba, Suneet Kumar Gupta, Alessandro Carriero, Zeno Falaschi, Alessio Paschè, Pietro Danna, Ayman El‐Baz, Subbaram Naidu, Jasjit S. Suri	41
11	Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application 2021 ·Medical & Biological Engineering & Computing ·Mohit Agarwal, Luca Saba, Suneet Gupta, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanase D. Protogerou, Aditya Sharma, Vijay Viswanathan, George D. Kitas, Andrew Nicolaides, Jasjit S. Suri	35
12	Blink to Get In: Biometric Authentication for Mobile Devices using EEG Signals 2020 ·(unknown), Mohit Agarwal, Raghupathy Sivakumar	13
13	Poster 2019 ·(unknown), Mohit Agarwal, Yuchen Liu, Douglas M. Blough, Raghupathy Sivakumar	6
14	A Convolution Neural Network based approach to detect the disease in Corn Crop 2019 ·Mohit Agarwal, Vijay Kumar Bohat, Mohd Dilshad Ansari, Amit Sinha, Suneet Gupta, Deepak Garg	41
15	Profit or Loss: A Long Short Term Memory based model for the Prediction of share price of DLF group in India 2019 ·(unknown), (unknown), Mohit Agarwal, Mohd Dilshad Ansari, Suneet Kumar Gupta, Deepak Garg	8
16	FCNN-LDA: A Faster Convolution Neural Network model for Leaf Disease identification on Apple's leaf dataset 2019 ·Mohit Agarwal, Rohit Kumar Kaliyar, Gaurav Singal, Suneet Gupta	30
17	Blink: A Fully Automated Unsupervised Algorithm for Eye-Blink Detection in EEG Signals 2019 ·Mohit Agarwal, Raghupathy Sivakumar	41
18	Collaborative 6DoF Relative Pose Estimation for Two UAVs with Overlapping Fields of View 2018 ·Repository for Publications and Research Data (ETH Zurich) ·(unknown), Mohit Agarwal, Mina Kamel, Roland Siegwart, Margarita Chli	3
19	Hardware and software performance of image processing applications on reconfigurable systems 2015 ·(unknown), Mohit Agarwal, Kota Solomon Raju	3
20	Smart ration card using RFID and GSM technique 2014 ·Mohit Agarwal, Manish Sharma, (unknown), (unknown)	13

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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