Barath Narayanan Narayanan

1.1k total citations
33 papers, 746 citations indexed

About

Barath Narayanan Narayanan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Barath Narayanan Narayanan has authored 33 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Artificial Intelligence. Recurrent topics in Barath Narayanan Narayanan's work include COVID-19 diagnosis using AI (10 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Barath Narayanan Narayanan is often cited by papers focused on COVID-19 diagnosis using AI (10 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Barath Narayanan Narayanan collaborates with scholars based in United States and India. Barath Narayanan Narayanan's co-authors include Russell C. Hardie, Temesguen M. Kebede, Redha Ali, Shekhar Bhansali, Srikanth Namuduri, L. K. BURTON, Anca Ralescu, Jonathan R. Dillman, Andrew T. Trout and Marcus S. Cooke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and American Journal of Roentgenology.

In The Last Decade

Barath Narayanan Narayanan

32 papers receiving 724 citations

Peers

Countries citing papers authored by Barath Narayanan Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by Barath Narayanan Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barath Narayanan Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Barath Narayanan Narayanan. A scholar is included among the top collaborators of Barath Narayanan Narayanan 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 Barath Narayanan Narayanan. Barath Narayanan Narayanan 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	Performance of Lung Nodule Computer-Aided Detection Systems on Standard-Dose and Low-Dose Pediatric CT Scans: An Intraindividual Comparison 2024 ·American Journal of Roentgenology ·Russell C. Hardie, Andrew T. Trout, Jonathan R. Dillman, Barath Narayanan Narayanan, (unknown)	1
2	A hybrid collaborative filtering mechanism for product recommendation system 2023 ·Multimedia Tools and Applications ·(unknown), Barath Narayanan Narayanan, (unknown)	6
3	Job Recommendation System Using Deep Reinforcement Learning (DRL) 2023 ·International Journal on Recent and Innovation Trends in Computing and Communication ·(unknown), Barath Narayanan Narayanan, (unknown)	1
4	A Patient Specific Algorithm for Plasmodium Malaria Detection on Cell Images 2023 ·Barath Narayanan Narayanan, (unknown), Russell C. Hardie	0
5	Deep Learning Algorithm for Atomization Characterization using Shadowgraph Images 2022 ·AIAA SCITECH 2022 Forum ·(unknown), (unknown), Barath Narayanan Narayanan, (unknown)	1
6	IMNets: Deep Learning Using an Incremental Modular Network Synthesis Approach for Medical Imaging Applications 2022 ·Applied Sciences ·Redha Ali, Russell C. Hardie, Barath Narayanan Narayanan, Temesguen M. Kebede	38
7	A Patient-Specific Algorithm for Lung Segmentation in Chest Radiographs 2022 ·SHILAP Revista de lepidopterología ·(unknown), Barath Narayanan Narayanan, Russell C. Hardie	4
8	Two-stage deep learning architecture for pneumonia detection and its diagnosis in chest radiographs 2020 ·Barath Narayanan Narayanan, (unknown), Russell C. Hardie	17
9	Hybrid machine learning architecture for automated detection and grading of retinal images for diabetic retinopathy 2020 ·Journal of Medical Imaging ·Barath Narayanan Narayanan, Russell C. Hardie, (unknown), (unknown)	29
10	Ensemble Malware Classification System Using Deep Neural Networks 2020 ·Electronics ·Barath Narayanan Narayanan, (unknown)	34
11	Convolutional Neural Networks as Classification Tools and Feature Extractors for Distinguishing Malware Programs 2019 ·(unknown), Barath Narayanan Narayanan, (unknown)	21
12	Performance analysis of machine learning and deep learning architectures for malaria detection on cell images 2019 ·Barath Narayanan Narayanan, Redha Ali, Russell C. Hardie	50
13	Automated quantification of DNA damage via deep transfer learning based analysis of comet assay images 2019 ·Srikanth Namuduri, Barath Narayanan Narayanan, Mahsa Karbaschi, Marcus S. Cooke, Shekhar Bhansali	7
14	Support vector machine and convolutional neural network based approaches for defect detection in fused filament fabrication 2019 ·Barath Narayanan Narayanan, (unknown), (unknown), (unknown)	35
15	A Computationally Efficient U-Net Architecture for Lung Segmentation in Chest Radiographs 2019 ·Barath Narayanan Narayanan, Russell C. Hardie	12
16	Performance analysis of a computer-aided detection system for lung nodules in CT at different slice thicknesses 2018 ·Journal of Medical Imaging ·Barath Narayanan Narayanan, Russell C. Hardie, Temesguen M. Kebede	29
17	Performance Analysis of Feature Selection Techniques for Support Vector Machine and its Application for Lung Nodule Detection 2018 ·Barath Narayanan Narayanan, Russell C. Hardie, Temesguen M. Kebede	15
18	Classification of Malware programs using autoencoders based deep learning architecture and its application to the microsoft malware Classification challenge (BIG 2015) dataset 2017 ·Temesguen M. Kebede, (unknown), Barath Narayanan Narayanan, Anca Ralescu, (unknown)	40
19	Performance analysis of machine learning and pattern recognition algorithms for Malware classification 2016 ·Barath Narayanan Narayanan, (unknown), Temesguen M. Kebede	87
20	Multiframe adaptive Wiener filter super-resolution with JPEG2000-compressed images 2014 ·EURASIP Journal on Advances in Signal Processing ·Barath Narayanan Narayanan, Russell C. Hardie, (unknown)	12

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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