Sunil L. Bangare

1.3k total citations · 1 hit paper
32 papers, 733 citations indexed

About

Sunil L. Bangare is a scholar working on Computer Vision and Pattern Recognition, Neurology and Computer Networks and Communications. According to data from OpenAlex, Sunil L. Bangare has authored 32 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Neurology and 7 papers in Computer Networks and Communications. Recurrent topics in Sunil L. Bangare's work include Brain Tumor Detection and Classification (9 papers), Medical Image Segmentation Techniques (6 papers) and IoT and Edge/Fog Computing (4 papers). Sunil L. Bangare is often cited by papers focused on Brain Tumor Detection and Classification (9 papers), Medical Image Segmentation Techniques (6 papers) and IoT and Edge/Fog Computing (4 papers). Sunil L. Bangare collaborates with scholars based in India, United States and Saudi Arabia. Sunil L. Bangare's co-authors include S. T. Patil, Kamal Gulati, Raja Sarath Kumar Boddu, Dhiraj Kapila, Neeraj Chandnani, G. Saravanan, G. Pradeepini, Nilesh Shelke, Sushovan Chaudhury and Pratibha Pandey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computational Intelligence and Neuroscience and Materials Today Proceedings.

In The Last Decade

Sunil L. Bangare

31 papers receiving 613 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.

A review paper on wireless sensor network techniques in Internet of Things (IoT)

2021 235 citations Kamal Gulati, Sunil L. Bangare et al. Materials Today Proceedings profile →

Peers

Countries citing papers authored by Sunil L. Bangare

Since Specialization

Citations

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

Fields of papers citing papers by Sunil L. Bangare

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil L. Bangare. 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 Sunil L. Bangare. The network helps show where Sunil L. Bangare may publish in the future.

Co-authorship network of co-authors of Sunil L. Bangare

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil L. Bangare. A scholar is included among the top collaborators of Sunil L. Bangare 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 Sunil L. Bangare. Sunil L. Bangare 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	PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things 2025 ·Measurement Sensors ·(unknown), (unknown), (unknown), Sunil L. Bangare, (unknown), Mohan Awasthy, Батырхан Омаров, (unknown)	3
2	Optimized convolutional neural network deep learning for Arabian handwritten text recognition 2025 ·Bulletin of Electrical Engineering and Informatics ·Mahyudin Ritonga, (unknown), (unknown), Sunil L. Bangare, (unknown), (unknown), (unknown), (unknown)	1
3	Development of internet of vehicles and recurrent neural network enabled intelligent transportation system for smart cities 2024 ·International Journal of Reconfigurable and Embedded Systems (IJRES) ·(unknown), (unknown), Sunil L. Bangare, (unknown), (unknown), (unknown), (unknown), (unknown)	1
4	Internet of things and deep learning based digital twins for diagnosis of brain tumor by analyzing MRI images 2024 ·Measurement Sensors ·(unknown), (unknown), Sunil L. Bangare, (unknown), (unknown), (unknown)	6
5	Smart Health Care System using Blockchain and Machine Learning 2023 ·International Journal of Advanced Research in Science Communication and Technology ·Sunil L. Bangare, Manish Verma, (unknown), (unknown), (unknown)	1
6	An Empirical Analysis of 3D Image Processing by using Machine Learning-Based Input Processing for Man-Machine Interaction 2022 ·2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) ·(unknown), (unknown), (unknown), Sunil L. Bangare, (unknown), Sushma Jaiswal	4
7	Deep Neural Network-Based Novel Mathematical Model for 3D Brain Tumor Segmentation 2022 ·Computational Intelligence and Neuroscience ·(unknown), Sunil L. Bangare, Vishal Jagota, Sumaya Sanober, (unknown), Kantilal Pitambar Rane, Bhupesh Kumar Singh	26
8	Towards Applicability of Information Communication Technologies in Automated Disease Detection 2022 ·INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING ·Abu Sarwar Zamani, (unknown), (unknown), (unknown), Sunil L. Bangare, Samrat Ray	10
9	An efficient way of text-based emotion analysis from social media using LRA-DNN 2022 ·SHILAP Revista de lepidopterología ·Nilesh Shelke, Sushovan Chaudhury, (unknown), Sunil L. Bangare, (unknown), Pratibha Pandey	67
10	Pneumonia Detection and Classification using CNN and VGG16 2022 ·International Journal of Advanced Research in Science Communication and Technology ·Sunil L. Bangare, (unknown), (unknown), (unknown), (unknown)	9
11	Machine Learning Applications For Protecting The Information Of Health Care Department Using Smart Internet Of Things Appliances -A REVIEW 2022 ·2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) ·(unknown), (unknown), (unknown), (unknown), Sunil L. Bangare, M. Kalyan Chakravarthi	4
12	Methods To Identify Facial Detection In Deep Learning Through The Use Of Real-Time Training Datasets Management 2021 ·L. M. I. Leo Joseph, (unknown), (unknown), Sunil L. Bangare, (unknown), (unknown), Kamal Gulati	9
13	Investigating the Impact of Machine Learning in Pharmaceutical Industry 2021 ·Journal of Pharmaceutical Research International ·(unknown), (unknown), (unknown), Sunil L. Bangare, (unknown), (unknown)	9
14	Classification of optimal brain tissue using dynamic region growing and fuzzy min-max neural network in brain magnetic resonance images 2021 ·SHILAP Revista de lepidopterología ·Sunil L. Bangare	47
15	Implementation of machine learning techniques for disease diagnosis 2021 ·Materials Today Proceedings ·(unknown), (unknown), (unknown), (unknown), Sunil L. Bangare, A. Deepak	25
16	Regenerative pixel mode and tumour locus algorithm development for brain tumour analysis: a new computational technique for precise medical imaging 2018 ·International Journal of Biomedical Engineering and Technology ·Sunil L. Bangare, G. Pradeepini, S. T. Patil	6
17	Neuroendoscopy Adapter Module Development for Better Brain Tumor Image Visualization 2017 ·International Journal of Electrical and Computer Engineering (IJECE) ·Sunil L. Bangare, G. Pradeepini, S. T. Patil	21
18	Brain tumor classification using mixed method approach 2017 ·Sunil L. Bangare, G. Pradeepini, S. T. Patil	29
19	TRACING REAL TIME LOCATION OF A FRIEND IN MOBILE SYSTEM 2015 ·Sunil L. Bangare, (unknown), (unknown), (unknown)	1
20	Implementation of Abandoned Object Detection in Real Time Environment 2012 ·(unknown), Nilesh Uke, Sunil L. Bangare	8

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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