Vipin Pal

858 total citations
54 papers, 514 citations indexed

About

Vipin Pal is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Vipin Pal has authored 54 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 22 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Vipin Pal's work include Energy Efficient Wireless Sensor Networks (21 papers), Energy Harvesting in Wireless Networks (9 papers) and Mobile Ad Hoc Networks (9 papers). Vipin Pal is often cited by papers focused on Energy Efficient Wireless Sensor Networks (21 papers), Energy Harvesting in Wireless Networks (9 papers) and Mobile Ad Hoc Networks (9 papers). Vipin Pal collaborates with scholars based in India, Saudi Arabia and Lebanon. Vipin Pal's co-authors include Girdhari Singh, Yogita Yogita, Rahul Yadav, Satyendra Singh Yadav, Anju Yadav, Neeraj Kumar, Vivek Kumar Verma, Sarat Kumar Patra, Pranab Das and Tarun Jain and has published in prestigious journals such as Expert Systems with Applications, Plant and Soil and IEEE Transactions on Vehicular Technology.

In The Last Decade

Vipin Pal

49 papers receiving 481 citations

Peers

Countries citing papers authored by Vipin Pal

Since Specialization

Citations

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

Fields of papers citing papers by Vipin Pal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vipin Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Vipin Pal. A scholar is included among the top collaborators of Vipin Pal 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 Vipin Pal. Vipin Pal 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

#	Title	Journal	Authors	Indexed citations
1	MF-CGAN: Multifeature Conditional GAN for Synthetic Data Generation in Internet of Medical Things	IEEE Internet of Things Journal	Vaibhav Tiwari, Vipin Pal et al.	4
2	SVD Assisted Agglomerative Clustering Based Framework for Video Summarization and Captioning		Vishal Kumar, Vipin Pal et al.	0
3	Artificial Intelligence Trends and Tools for Improving Women’s Health		Vipin Pal et al.	1
4	A Framework for Enhancing Accuracy in AI Generated Text Detection Using Ensemble Modelling		Vipin Pal, Satyendra Singh Yadav et al.	1
5	DARCVAA: A Deep Neural Networks Based Framework for Detecting Adverse Reactions of COVID-19 Vaccines and Association Analysis	SN Computer Science	Yogita Yogita, Vipin Pal et al.	1
6	IRS-aided NOMA-based communication architecture for 6G wireless networks: An enhanced error-control and reliable data transmission	Physical Communication	Vipin Pal, Satyendra Singh Yadav et al.	4
7	Sequence Labelling with 2 Level Segregation (SL2LS): A framework to extract COVID-19 vaccine adverse drug reactions from Twitter data	Expert Systems with Applications	Yogita Yogita, Vipin Pal et al.	2
8	An Efficient Ensemble Deep Learning Model-based Signal Detection in 6G Wireless Communication		Vipin Pal, Satyendra Singh Yadav et al.	0
9	HydroPro: An IoT-Based Smart Water Bottle		Gaurav Singal, Abhinav Tomar et al.	0
10	Modified U-Net based Framework for Laparoscopic Procesures		Mayank Kumar, Pradeep Kumar Jain et al.	0
11	GTTR: A Game Theory-Based TOPSIS Optimized Routing Protocol for WSNs	IEEE Sensors Journal	Yogita Yogita, Satyendra Singh Yadav et al.	1
12	FHC-NDS: Fuzzy Hierarchical Clustering of Multiple Nominal Data Streams	IEEE Transactions on Fuzzy Systems	Yogita Yogita, Vipin Pal et al.	10
13	Machine Learning-Based Framework to Predict Finger Movement for Prosthetic Hand	IEEE Sensors Letters	Gagan Kumar, Satyendra Singh Yadav et al.	10
14	Fuzzy and Rough Set Theory Based Computational Framework for Mining Genetic Interaction Triplets From Gene Expression Profiles for Lung Adenocarcinoma	IEEE/ACM Transactions on Computational Biology and Bioinformatics	Yogita Yogita, Vipin Pal et al.	2
15	Clustering-Based Hybrid Approach for Identifying Quantitative Multidimensional Associations Between Patient Attributes, Drugs and Adverse Drug Reactions	Interdisciplinary Sciences Computational Life Sciences	Yogita Yogita, Vipin Pal et al.	4
16	Electrical and Methanol Sensing Characteristics of RF Sputtered n-ZnO/p-Si Heterojunction Diodes	IEEE Sensors Journal	Shashi Kant Sharma, Basanta Bhowmik et al.	8
17	Effect of Heterogeneous Nodes Location on the Performance of Clustering Algorithms for Wireless Sensor Networks	Procedia Computer Science	Vipin Pal, Yogita Yogita et al.	9
18	SCHS: Smart Cluster Head Selection Scheme for Clustering Algorithms in Wireless Sensor Networks	Wireless Sensor Network	Vipin Pal, Girdhari Singh et al.	27
19	Evaluation of six sky luminance prediction models using measured data from Singapore	Lighting Research & Technology	Khee Poh Lam, A. Mahdavi et al.	7
20	The implications of sky model selection for the prediction of daylight distribution in architectural spaces		Khee Poh Lam, Ardeshir Mahdavi et al.	1

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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