Pronab Ghosh

1.6k citations

25 papers · 967 indexed · 2 hit papers · h-index 15

Artificial Intelligence top 5%
Health Information Management top 0.2%
Radiology, Nuclear Medicine and Imaging top 5%
Neurology top 10%
Computer Vision and Pattern Recognition top 10%

Co-authors: Sami Azam Asif Karim F. M. Javed Mehedi Shamrat Mirjam Jonkman Friso De Boer Shahana Shultana Abhijith Reddy Beeravolu Eva Ignatious
Topics: Artificial Intelligence in Healthcare (14 papers)Machine Learning in Healthcare (6 papers)AI in cancer detection (6 papers)
Cited by: Health Information Management Health Informatics Neurology
Journals: PLoS ONE Scientific Reports IEEE Access
Partner nations: Bangladesh Australia Canada

In The Last Decade

Pronab Ghosh

23 papers receiving 921 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.

Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques

2021 322 citations Pronab Ghosh, Sami Azam et al. IEEE Access profile →
AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images

2023 101 citations F. M. Javed Mehedi Shamrat, Shamima Akter et al. IEEE Access profile →

Peers

Countries citing papers authored by Pronab Ghosh

Since Specialization

Citations

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

Fields of papers citing papers by Pronab Ghosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pronab Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Pronab Ghosh. A scholar is included among the top collaborators of Pronab 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 Pronab Ghosh. Pronab Ghosh 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	Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques 2024 ·Heliyon ·(unknown),(unknown),F. M. Javed Mehedi Shamrat,Pronab Ghosh,Xujuan Zhou,Mohd Yamani Idna Idris,Kawsar Ahmed,Mohammad Ali Moni	6
2	Advances in Artificial Intelligence and Blockchain Technologies for Early Detection of Human Diseases 2024 ·IEEE Transactions on Computational Social Systems ·(unknown),Pronab Ghosh,(unknown),F. M. Javed Mehedi Shamrat,Mohammad Ali Moni,Thiago Eustaquio Alves de Oliveira	7
3	BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients 2023 ·Scientific Reports ·(unknown),(unknown),F. M. Javed Mehedi Shamrat,Pronab Ghosh,Subrata Das,(unknown),Kawsar Ahmed,Xujuan Zhou,AKM Azad,Salem A. Alyami,Mohammad Ali Moni	7
4	An Intelligent Thyroid Diagnosis System Utilizing Multiple Ensemble and Explainable Algorithms With Medical Supported Attributes 2023 ·IEEE Transactions on Artificial Intelligence ·(unknown),(unknown),Pronab Ghosh,F. M. Javed Mehedi Shamrat,Md Moniruzzaman,Kawsar Ahmed,AKM Azad,Francis M. Bui,Li Chen,Mohammad Ali Moni	10
5	AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Imagesbreakdown → 2023 ·IEEE Access ·F. M. Javed Mehedi Shamrat,Shamima Akter,Sami Azam,Asif Karim,Pronab Ghosh,Zarrin Tasnim,Khan Md. Hasib,Friso De Boer,Kawsar Ahmed	101
6	A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity 2022 ·PLoS ONE ·Sidratul Montaha,Sami Azam,A. K. M. Rakibul Haque Rafid,(unknown),Pronab Ghosh,Mirjam Jonkman	25
7	SkinNet-16: A deep learning approach to identify benign and malignant skin lesions 2022 ·Frontiers in Oncology ·Pronab Ghosh,Sami Azam,(unknown),Asif Karim,F. M. Javed Mehedi Shamrat,(unknown),Mirjam Jonkman,Khan Md. Hasib,Kawsar Ahmed	37
8	A Machine Learning based Proposition for Automated and Methodical Prediction of Liver Disease 2022 ·(unknown),Asif Karim,(unknown),Sami Azam,Pronab Ghosh,(unknown),(unknown)	3
9	A Robust Deep Learning based Framework for High-Precision Detection of Liver Disease 2022 ·Abdullah Al Mahmud,Asif Karim,(unknown),Pronab Ghosh,Sami Azam,Enamul Haque	1
10	LungNet22: A Fine-Tuned Model for Multiclass Classification and Prediction of Lung Disease Using X-ray Images 2022 ·Journal of Personalized Medicine ·F. M. Javed Mehedi Shamrat,Sami Azam,Asif Karim,Md. Rakibul Islam,Zarrin Tasnim,Pronab Ghosh,Friso De Boer	74
11	Use of Efficient Machine Learning Techniques in the Identification of Patients with Heart Diseases 2021 ·Pronab Ghosh,Sami Azam,Asif Karim,Mirjam Jonkman,Md. Zahid Hasan	27
12	A Comparative Study of Different Deep Learning Model for Recognition of Handwriting Digits 2021 ·SSRN Electronic Journal ·Asif Karim,Pronab Ghosh,(unknown),Masum Shah Junayed,Md. Zahid Hasan,Khan Md. Hasib,(unknown)	17
13	Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniquesbreakdown → 2021 ·IEEE Access ·Pronab Ghosh,Sami Azam,Mirjam Jonkman,Asif Karim,F. M. Javed Mehedi Shamrat,Eva Ignatious,Shahana Shultana,Abhijith Reddy Beeravolu,Friso De Boer	322
14	BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images 2021 ·Biology ·Sidratul Montaha,Sami Azam,A. K. M. Rakibul Haque Rafid,Pronab Ghosh,Md. Zahid Hasan,Mirjam Jonkman,Friso De Boer	76
15	A Robust Deep Learning based Prediction System of Heart Disease using a Combination of Five Datasets 2021 ·(unknown),Abhijith Reddy Beeravolu,Asif Karim,Sami Azam,Md. Tanvir Hasan,(unknown),Pronab Ghosh	9
16	A Comparative Study of Different Machine Learning Tools in Detecting Diabetes 2021 ·Procedia Computer Science ·Pronab Ghosh,Sami Azam,Asif Karim,(unknown),(unknown),Mirjam Jonkman	35
17	Expert cancer model using supervised algorithms with a LASSO selection approach 2021 ·International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering ·Pronab Ghosh,Asif Karim,(unknown),(unknown),Mohd. Saifuzzaman	30
18	Implementation of Machine Learning Algorithms to Detect the Prognosis Rate of Kidney Disease 2020 ·2020 IEEE International Conference for Innovation in Technology (INOCON) ·F. M. Javed Mehedi Shamrat,Pronab Ghosh,(unknown),(unknown),Shahana Shultana	37
19	Optimization of Prediction Method of Chronic Kidney Disease Using Machine Learning Algorithm 2020 ·Pronab Ghosh,F. M. Javed Mehedi Shamrat,Shahana Shultana,(unknown),(unknown),(unknown)	55
20	A Variable Length Key Based Cryptographic Approach on Cloud Data 2019 ·Pronab Ghosh,Md. Zahid Hasan,(unknown),(unknown)	6

About Pronab Ghosh

Pronab Ghosh is a scholar working on Health Information Management, Health Informatics and Medical Laboratory Technology, having authored 25 papers that have together received 967 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (14 papers), Machine Learning in Healthcare (6 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Health Information Management (395 citations), Health Informatics (35 citations) and Neurology (132 citations). Pronab Ghosh has collaborated with scholars based in Bangladesh, Australia and Canada. Frequent co-authors include Sami Azam, Asif Karim, F. M. Javed Mehedi Shamrat, Mirjam Jonkman, Friso De Boer, Shahana Shultana, Abhijith Reddy Beeravolu, Eva Ignatious, Zarrin Tasnim and Khan Md. Hasib. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.

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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