Aditya Khamparia

5.3k total citations · 3 hit papers
94 papers, 3.0k citations indexed

About

Aditya Khamparia is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Aditya Khamparia has authored 94 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 22 papers in Information Systems and 19 papers in Computer Networks and Communications. Recurrent topics in Aditya Khamparia's work include Network Security and Intrusion Detection (10 papers), Artificial Intelligence in Healthcare (9 papers) and Online Learning and Analytics (9 papers). Aditya Khamparia is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Artificial Intelligence in Healthcare (9 papers) and Online Learning and Analytics (9 papers). Aditya Khamparia collaborates with scholars based in India, Brazil and Papua New Guinea. Aditya Khamparia's co-authors include Deepak Gupta, Babita Pandey, Victor Hugo C. de Albuquerque, Ashish Khanna, Sagar Dhanraj Pande, Prayag Tiwari, Bharat Bhushan, Sanjay Kumar Singh, Mohammad Shabaz and V. S. Chouhan and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Industrial Crops and Products.

In The Last Decade

Aditya Khamparia

87 papers receiving 2.8k 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 Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

2020 481 citations Aditya Khamparia, Deepak Gupta et al. profile →
Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning

2021 331 citations Aditya Khamparia, Mohammad Shabaz et al. Computational Intelligence and Neuroscience profile →
Blockchain for smart cities: A review of architectures, integration trends and future research directions

2020 202 citations Aditya Khamparia et al. profile →

Peers

Countries citing papers authored by Aditya Khamparia

Since Specialization

Citations

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

Fields of papers citing papers by Aditya Khamparia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Khamparia

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Khamparia. A scholar is included among the top collaborators of Aditya Khamparia 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 Aditya Khamparia. Aditya Khamparia 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	Hybrid Sine-Cosine Chimp optimization based feature selection with deep learning model for threat detection in IoT sensor networks 2024 ·Alexandria Engineering Journal ·(unknown), (unknown), Mohammed Aljebreen, (unknown), (unknown), Ashit Kumar Dutta, Shtwai Alsubai, Aditya Khamparia	8
2	Microbial Data Intelligence and Computational Techniques for Sustainable Computing 2024 ·Aditya Khamparia, Babita Pandey, Devendra Kumar Pandey, Deepak Gupta	6
3	Networks Attack Detection on 5G Networks using Data Mining Techniques 2024 ·Sagar Dhanraj Pande, Aditya Khamparia	0
4	A hybrid evolutionary approach for multi-objective unit commitment problem in power systems 2024 ·Energy Reports ·Amritpal Singh, Aditya Khamparia, Fadi Al‐Turjman	3
5	Optimization of microwave-assisted extraction of plumbagin from Plumbago zeylanica by response surface methodology and adaptive neuro-fuzzy inference system modelling 2023 ·Industrial Crops and Products ·(unknown), (unknown), Aditya Khamparia, Babita Pandey, Abhijit Dey, Devendra Kumar Pandey	12
6	An Enhanced Secure Deep Learning Algorithm for Fraud Detection in Wireless Communication 2021 ·Wireless Communications and Mobile Computing ·Sumaya Sanober, (unknown), Sagar Dhanraj Pande, Farrukh Arslan, Kantilal Pitambar Rane, Bhupesh Kumar Singh, Aditya Khamparia, Mohammad Shabaz	64
7	An intelligent IoMT enabled feature extraction method for early detection of knee arthritis 2021 ·Expert Systems ·Aditya Khamparia, Babita Pandey, Fadi Al‐Turjman, Prajoy Podder	5
8	Heterogeneous load balancing clustering protocol for Wireless Sensor Networks 2021 ·Cognitive Systems Research ·(unknown), Roohie Naaz Mir, Aditya Khamparia, Poonam Rani, Deepak Gupta, Ashish Khanna	10
9	Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning breakdown → 2021 ·Computational Intelligence and Neuroscience ·(unknown), Aditya Khamparia, Mohammad Shabaz, Gaurav Dhiman, Sagar Dhanraj Pande, Parneet Singh	331
10	Criminal Identification System using Facial Recognition 2021 ·SSRN Electronic Journal ·(unknown), (unknown), Sagar Dhanraj Pande, Aditya Khamparia	6
11	Correction to: An Enhanced Crow Search Inspired Feature Selection Technique for Intrusion Detection Based Wireless Network System 2021 ·Wireless Personal Communications ·Ashish Khanna, Poonam Rani, Puneet Garg, (unknown), Aditya Khamparia	6
12	Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning 2021 ·Neural Computing and Applications ·(unknown), Aditya Khamparia, Deepak Gupta, Sagar Dhanraj Pande, Prayag Tiwari, M. Shamim Hossain	30
13	Feature selection and comparison of classification algorithms for wireless sensor networks 2021 ·Journal of Ambient Intelligence and Humanized Computing ·Sagar Dhanraj Pande, Aditya Khamparia, Deepak Gupta	31
14	Security Challenges and Cyber Forensic Ecosystem in IoT Driven BYOD Environment 2020 ·IEEE Access ·(unknown), (unknown), Aditya Khamparia, Deepak Gupta, Sachin Kumar, Ashish Khanna, Fadi Al‐Turjman	22
15	Twitter-based Opinion Mining for Flight Service utilizing Machine Learning 2019 ·Informatica ·Prayag Tiwari, Hari Mohan Pandey, Aditya Khamparia, Sachin Kumar	9
16	Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network 2019 ·IEEE Access ·Aditya Khamparia, Deepak Gupta, Gia Nhu Nguyen, Ashish Khanna, Babita Pandey, Prayag Tiwari	158
17	Association of learning styles with different e-learning problems: a systematic review and classification 2019 ·Education and Information Technologies ·Aditya Khamparia, Babita Pandey	43
18	E-Knowledge Analyzing with Java Ontology 2018 ·Aditya Khamparia, Babita Pandey, (unknown), (unknown)	1
19	Threat driven modeling framework using petri nets for e-learning system 2016 ·SpringerPlus ·Aditya Khamparia, Babita Pandey	8
20	Architecture and performance based comparison of semantic web service processes 2016 ·Aditya Khamparia, Babita Pandey	0

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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