Vijay Rathore

1.6k total citations
7 papers, 293 citations indexed

About

Vijay Rathore is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology and Rheumatology. According to data from OpenAlex, Vijay Rathore has authored 7 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Nephrology and 2 papers in Rheumatology. Recurrent topics in Vijay Rathore's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Dialysis and Renal Disease Management (2 papers). Vijay Rathore is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Dialysis and Renal Disease Management (2 papers). Vijay Rathore collaborates with scholars based in United States, India and Italy. Vijay Rathore's co-authors include George A. Kaysen, Thomas A. Depner, Narendra N. Khanna, John R. Laird, Amer M. Johri, Vijay Viswanathan, Jasjit S. Suri, Petros P. Sfikakis, Raghu Kolluri and Anudeep Puvvula and has published in prestigious journals such as Kidney International, Soft Computing and Rheumatology International.

In The Last Decade

Vijay Rathore

6 papers receiving 281 citations

Peers

Countries citing papers authored by Vijay Rathore

Since Specialization

Citations

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

Fields of papers citing papers by Vijay Rathore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Rathore

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	StockAI 3.0: Ensemble fusion paradigms using novel gating mechanism in long short-term memory architectures for forecasting sentiment-based stock trends 2025 ·Soft Computing ·(unknown), (unknown), (unknown), Ekta Tiwari, (unknown), (unknown), Mustafa Al-Maini, Vijay Rathore, Puneet Ahluwalia, (unknown), Subbaram Naidu, Luca Saba, Jasjit S. Suri	0
2	UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review 2024 ·Reviews in Cardiovascular Medicine ·Luca Saba, Mahesh Maindarkar, Amer M. Johri, Laura E. Mantella, John R. Laird, Narendra N. Khanna, Kosmas I. Paraskevas, Zoltán Ruzsa, (unknown), José Fernandes e Fernandes, Seemant Chaturvedi, Andrew Nicolaides, Vijay Rathore, Narpinder Singh, Esma R. Isenović, Vijay Viswanathan, Mostafa M. Fouda, Jasjit S. Suri	7
3	A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool 2023 ·Frontiers in Bioscience-Landmark ·Luca Saba, Mahesh Maindarkar, Narendra N. Khanna, Amer M. Johri, Laura E. Mantella, John R. Laird, Kosmas I. Paraskevas, Zoltán Ruzsa, (unknown), José Fernandes e Fernandes, Seemant Chaturvedi, Andrew Nicolaides, Vijay Rathore, Narpinder Singh, Mostafa M. Fouda, Esma R. Isenović, Mustafa Al-Maini, Vijay Viswanathan, Jasjit S. Suri	6
4	DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images 2023 ·Diagnostics ·(unknown), (unknown), Arun Kumar Dubey, Narendra N. Khanna, John R. Laird, Gavino Faa, Inder M. Singh, Georgios Tsoulfas, Mannudeep K. Kalra, Jagjit S. Teji, Mustafa Al-Maini, Vijay Rathore, Vikas Agarwal, Puneet Ahluwalia, Mostafa M. Fouda, Luca Saba, Jasjit S. Suri	11
5	Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging 2020 ·Rheumatology International ·Ankush D. Jamthikar, Deep Gupta, Anudeep Puvvula, Amer M. Johri, Narendra N. Khanna, Luca Saba, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanase D. Protogerou, George D. Kitas, Raghu Kolluri, Aditya Sharma, Vijay Viswanathan, Vijay Rathore, Jasjit S. Suri	29
6	Derangements of Protein Metabolism in Chronic Renal Failure 1996 ·Blood Purification ·George A. Kaysen, Vijay Rathore	4
7	Mechanisms of hypoalbuminemia in hemodialysis patients 1995 ·Kidney International ·George A. Kaysen, Vijay Rathore, (unknown), Thomas A. Depner	236

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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