Hritwik Ghosh

409 total citations
19 papers, 167 citations indexed

About

Hritwik Ghosh is a scholar working on Plant Science, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hritwik Ghosh has authored 19 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hritwik Ghosh's work include Smart Agriculture and AI (8 papers), Spectroscopy and Chemometric Analyses (4 papers) and COVID-19 diagnosis using AI (4 papers). Hritwik Ghosh is often cited by papers focused on Smart Agriculture and AI (8 papers), Spectroscopy and Chemometric Analyses (4 papers) and COVID-19 diagnosis using AI (4 papers). Hritwik Ghosh collaborates with scholars based in India, Bangladesh and Ethiopia. Hritwik Ghosh's co-authors include Irfan Sadiq Rahat, Sachi Nandan Mohanty, Janjhyam Venkata Naga Ramesh, Radha Mohan Pattanayak, Nihar Ranjan Pradhan, Shashi Kant, Ashish Khare, Mohammed Altaf Ahmed, Suresh Dara and Sandeep Kumar Panda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and EAI Endorsed Transactions on Pervasive Health and Technology.

In The Last Decade

Hritwik Ghosh

17 papers receiving 162 citations

Peers

Hritwik Ghosh
Irfan Sadiq Rahat India
Norhalina Senan Malaysia
Sultana Umme Habiba Bangladesh
Md. Ashiqul Islam Bangladesh
Anupam Singh India
Ihtiram Raza Khan India
Tan Nhat Pham Australia
Mujtaba Husnain Pakistan
Qin Zhi-guang China
Ali Samad Pakistan
Irfan Sadiq Rahat India
Hritwik Ghosh
Citations per year, relative to Hritwik Ghosh Hritwik Ghosh (= 1×) peers Irfan Sadiq Rahat

Countries citing papers authored by Hritwik Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Hritwik Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hritwik Ghosh

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

All Works

19 of 19 papers shown
1.
Rahat, Irfan Sadiq, Hritwik Ghosh, Suresh Dara, & Shashi Kant. (2025). Towards precision agriculture tea leaf disease detection using CNNs and image processing. Scientific Reports. 15(1). 17571–17571.
2.
Ghosh, Hritwik, et al.. (2025). Advanced neural network architectures for tomato leaf disease diagnosis in precision agriculture. Discover Sustainability. 6(1). 3 indexed citations
3.
Pradhan, Nihar Ranjan, et al.. (2024). Enhancing Agricultural Sustainability with Deep Learning: A Case Study of Cauliflower Disease Classification. EAI Endorsed Transactions on Internet of Things. 10. 7 indexed citations
4.
Ghosh, Hritwik, et al.. (2024). A Comparative Analysis of Machine Learning and Deep Learning Approaches for Prediction of Chronic Kidney Disease Progression. EAI Endorsed Transactions on Internet of Things. 10. 4 indexed citations
5.
Rahat, Irfan Sadiq, et al.. (2024). A Step Towards Automated Haematology: DL Models for Blood Cell Detection and Classification. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 2 indexed citations
6.
Rahat, Irfan Sadiq, et al.. (2024). Exploring Deep Learning Models for Accurate Alzheimer's Disease Classification based on MRI Imaging. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 3 indexed citations
7.
Ghosh, Hritwik, et al.. (2024). Convolutional Neural Networks in Malaria Diagnosis: A Study on Cell Image Classification. EAI Endorsed Transactions on Pervasive Health and Technology. 10.
8.
Ghosh, Hritwik, et al.. (2024). Exploring the Potential of Deep Learning in the Classification and Early Detection of Parkinson's Disease. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 2 indexed citations
9.
Panda, Sandeep Kumar, et al.. (2024). Deep Learning in Medical Imaging: A Case Study on Lung Tissue Classification. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 1 indexed citations
10.
Ghosh, Hritwik, et al.. (2024). Exploring Deep Learning Models for Accurate Alzheimer's Disease Classification based on MRI Imaging. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 1 indexed citations
11.
Ghosh, Hritwik, et al.. (2023). An All-Inclusive Machine Learning and Deep Learning Method for Forecasting Cardiovascular Disease in Bangladeshi Population. EAI Endorsed Transactions on Pervasive Health and Technology. 9. 16 indexed citations
12.
Mohanty, Sachi Nandan, et al.. (2023). Advanced Deep Learning Models for Corn Leaf Disease Classification: A Field Study in Bangladesh. SHILAP Revista de lepidopterología. 69–69. 23 indexed citations
13.
Ghosh, Hritwik, et al.. (2023). Identification and Categorization of Yellow Rust Infection in Wheat through Deep Learning Techniques. EAI Endorsed Transactions on Internet of Things. 10. 16 indexed citations
14.
Rahat, Irfan Sadiq, et al.. (2023). Using Deep Learning and Machine Learning: Real-Time Discernment and Diagnostics of Rice-Leaf Diseases in Bangladesh. EAI Endorsed Transactions on Internet of Things. 10. 16 indexed citations
15.
Rahat, Irfan Sadiq, et al.. (2023). Unraveling the Heterogeneity of Lower-Grade Gliomas: Deep Learning-Assisted Flair Segmentation and Genomic Analysis of Brain MR Images. EAI Endorsed Transactions on Pervasive Health and Technology. 9. 17 indexed citations
16.
Ghosh, Hritwik, et al.. (2023). Potato Leaf Disease Recognition and Prediction using Convolutional Neural Networks. ICST Transactions on Scalable Information Systems. 31 indexed citations
17.
Ghosh, Hritwik, et al.. (2023). Deciphering Microorganisms through Intelligent Image Recognition: Machine Learning and Deep Learning Approaches, Challenges, and Advancements. EAI Endorsed Transactions on Internet of Things. 10. 21 indexed citations
18.
Ghosh, Hritwik, Irfan Sadiq Rahat, Radha Mohan Pattanayak, & Sachi Nandan Mohanty. (2023). Innovative Approaches in Tomato Leaf Disease Recognition using Deep Learning. 86–96. 3 indexed citations
19.
Khare, Ashish, et al.. (2010). Content-based classification of graphical document images. 241–246. 1 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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