Lakhan Dev Sharma

1.9k total citations
67 papers, 1.1k citations indexed

About

Lakhan Dev Sharma is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Lakhan Dev Sharma has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 32 papers in Cardiology and Cardiovascular Medicine and 16 papers in Biomedical Engineering. Recurrent topics in Lakhan Dev Sharma's work include EEG and Brain-Computer Interfaces (36 papers), ECG Monitoring and Analysis (30 papers) and Non-Invasive Vital Sign Monitoring (14 papers). Lakhan Dev Sharma is often cited by papers focused on EEG and Brain-Computer Interfaces (36 papers), ECG Monitoring and Analysis (30 papers) and Non-Invasive Vital Sign Monitoring (14 papers). Lakhan Dev Sharma collaborates with scholars based in India, Nepal and United States. Lakhan Dev Sharma's co-authors include Ramesh Kumar Sunkaria, Jagdeep Rahul, Marpe Sora, Vijay Kumar Bohat, Abhijit Bhattacharyya, Ritesh Kumar Saraswat, Himanshu Chhabra, Hossam Faris, Maria Habib and Ala’ M. Al-Zoubi and has published in prestigious journals such as Analytical Chemistry, Expert Systems with Applications and IEEE Access.

In The Last Decade

Lakhan Dev Sharma

60 papers receiving 1.1k citations

Peers

Lakhan Dev Sharma

CCM

RNMI

Ramesh Kumar Sunkaria India

Sumair Aziz Pakistan

Amjed Al Fahoum Jordan

Muhammad Umar Khan Pakistan

Udit Satija India

Yakup Kutlu Türkiye

Feifei Liu China

Sugondo Hadiyoso Indonesia

Binish Fatimah India

Yalçın İşler Türkiye

Ramesh Kumar Sunkaria India

Lakhan Dev Sharma

350 ×0.6

558 ×1.0

CCM

261 ×1.0

86 ×0.6

52 ×0.4

RNMI

Citations per year, relative to Lakhan Dev Sharma Lakhan Dev Sharma (= 1×) peers Ramesh Kumar Sunkaria

Countries citing papers authored by Lakhan Dev Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Lakhan Dev Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lakhan Dev Sharma. 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 Lakhan Dev Sharma. The network helps show where Lakhan Dev Sharma may publish in the future.

Co-authorship network of co-authors of Lakhan Dev Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Lakhan Dev Sharma. A scholar is included among the top collaborators of Lakhan Dev Sharma 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 Lakhan Dev Sharma. Lakhan Dev Sharma 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

Sharma, Lakhan Dev, et al.. (2025). Cognitive load detection using adaptive/fixed-frequency empirical wavelet transform and multi-domain feature optimization. Biomedical Signal Processing and Control. 110. 108124–108124. 2 indexed citations

Gowri, T., et al.. (2025). Deep Fusion of VGG19 and ConvMixer With Superlet Transform for Cognitive Load Detection. IEEE Transactions on Consumer Electronics. 71(4). 9557–9568.

Jain, Prince, et al.. (2024). EEG-based detection of cognitive load using VMD and LightGBM classifier. International Journal of Machine Learning and Cybernetics. 15(9). 4193–4210. 32 indexed citations

Choudhary, J., et al.. (2024). Antenna Design and Optimization Using Machine Learning: A Comprehensive Review. Lecture notes in networks and systems. 455–467.

Sharma, Lakhan Dev, et al.. (2024). Softflatten-Net: A Deep Convolutional Neural Network Design for Monkeypox Classification From Digital Skin Lesions Images. IEEE Sensors Journal. 24(20). 32566–32576. 4 indexed citations

Sharma, Lakhan Dev, et al.. (2024). Pre-trained Bi-LSTM model for automated classification of ventricular arrhythmias using 1-D and 2-D ECG. Bulletin of Electrical Engineering and Informatics. 13(4). 2485–2495. 1 indexed citations

Rahul, Jagdeep, et al.. (2024). A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning. Frontiers in Human Neuroscience. 18. 1347082–1347082. 24 indexed citations

Sharma, Lakhan Dev, et al.. (2024). Classification of lung disorders in chest multi-modal images using hyper-Parameter tuning and modified ResNet50. Multimedia Tools and Applications. 84(24). 28667–28691.

Sharma, Lakhan Dev, et al.. (2024). Electrooculography Artifact Removal from EEG Signal Using Short-Time Fourier Transform and LSTM. 1–5.

10.

Sharma, Lakhan Dev, et al.. (2023). An Energy-Efficient Clustering Algorithm for Maximizing Lifetime of Wireless Sensor Networks using Machine Learning. Mobile Networks and Applications. 28(2). 853–867. 25 indexed citations

11.

Sarkar, Achintya Kumar, et al.. (2023). Feed‐Forward Deep Neural Network (FFDNN)‐Based Deep Features for Static Malware Detection. International Journal of Intelligent Systems. 2023(1). 20 indexed citations

12.

Sharma, Lakhan Dev, et al.. (2023). EEG rhythm based emotion recognition using multivariate decomposition and ensemble machine learning classifier. Journal of Neuroscience Methods. 393. 109879–109879. 18 indexed citations

13.

Sharma, Lakhan Dev, et al.. (2023). Cognitive load detection using Ci-SSA for EEG signal decomposition and nature-inspired feature selection. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 31(5). 771–791. 9 indexed citations

14.

Sharma, Lakhan Dev, et al.. (2023). Automatic Glaucoma Detection from Fundus Images Using Deep Convolutional Neural Networks and Exploring Networks Behaviour Using Visualization Techniques. SN Computer Science. 4(5). 10 indexed citations

15.

Sharma, Lakhan Dev, et al.. (2023). Subject-Wise Cognitive Load Detection Using Time–Frequency EEG and Bi-LSTM. Arabian Journal for Science and Engineering. 49(3). 4445–4457. 16 indexed citations

16.

Sharma, Lakhan Dev, et al.. (2023). Artificial intelligence based approach for categorization of COVID-19 ECG images in presence of other cardiovascular disorders. Biomedical Physics & Engineering Express. 9(3). 35012–35012. 4 indexed citations

17.

Sharma, Lakhan Dev, et al.. (2022). Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks. Expert Systems with Applications. 211. 118650–118650. 44 indexed citations

18.

Rahul, Jagdeep, Marpe Sora, & Lakhan Dev Sharma. (2020). Exploratory data analysis based efficient QRS-complex detection technique with minimal computational load. Physical and Engineering Sciences in Medicine. 43(3). 1049–1067. 19 indexed citations

19.

Sharma, Lakhan Dev, et al.. (2019). IoT BasedSmart Waste Management System: India prospective. 1–6. 20 indexed citations

20.

Sharma, Lakhan Dev & Ramesh Kumar Sunkaria. (2018). P- and T-wave Characterization in the Presence of U-wave in Electrocardiogram. 7(3). 30–34. 1 indexed citations

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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