Keshav Thapa

451 total citations
16 papers, 314 citations indexed

About

Keshav Thapa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Keshav Thapa has authored 16 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Keshav Thapa's work include Context-Aware Activity Recognition Systems (8 papers), Anomaly Detection Techniques and Applications (6 papers) and IoT and Edge/Fog Computing (4 papers). Keshav Thapa is often cited by papers focused on Context-Aware Activity Recognition Systems (8 papers), Anomaly Detection Techniques and Applications (6 papers) and IoT and Edge/Fog Computing (4 papers). Keshav Thapa collaborates with scholars based in South Korea, Bangladesh and Australia. Keshav Thapa's co-authors include Sung‐Hyun Yang, Puran Pandey, Jung Inn Sohn, Sang‐Woo Kim, Gunendra Prasad Ojha, Ki-Hoon Shin, Md Shafiqul Islam, Mohammed A. Mamun, Mark D. Griffiths and Pukar Maharjan and has published in prestigious journals such as Chemical Engineering Journal, Sensors and International Journal of Energy Research.

In The Last Decade

Keshav Thapa

16 papers receiving 304 citations

Peers

Keshav Thapa

CVPR

EEE

Asma Channa Romania

Poonam Syal India

Preeti Kumari India

Zeyu Wang China

Sunghun Kang South Korea

Mathias Sundholm Germany

K. Mohanavelu India

Haotian Jiang United States

Michael McKnight United States

Asma Channa Romania

Keshav Thapa

237 ×2.1

59 ×0.5

CVPR

46 ×0.7

124 ×2.3

EEE

32 ×0.6

Citations per year, relative to Keshav Thapa Keshav Thapa (= 1×) peers Asma Channa

Countries citing papers authored by Keshav Thapa

Since Specialization

Citations

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

Fields of papers citing papers by Keshav Thapa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keshav Thapa

This figure shows the co-authorship network connecting the top 25 collaborators of Keshav Thapa. A scholar is included among the top collaborators of Keshav Thapa 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 Keshav Thapa. Keshav Thapa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Pandey, Puran, et al.. (2024). Recent Progress in Wearable Triboelectric Nanogenerator for Advanced Health Monitoring and Rehabilitation. International Journal of Energy Research. 2024(1). 21 indexed citations

Thapa, Keshav, et al.. (2023). Semi-Supervised Adversarial Auto-Encoder to Expedite Human Activity Recognition. Sensors. 23(2). 683–683. 6 indexed citations

Yang, Sung‐Hyun, et al.. (2022). Semi-Supervised Adversarial Learning Using LSTM for Human Activity Recognition. Sensors. 22(13). 4755–4755. 6 indexed citations

Pandey, Puran, Keshav Thapa, Gunendra Prasad Ojha, et al.. (2022). Metal-organic frameworks-based triboelectric nanogenerator powered visible light communication system for wireless human-machine interactions. Chemical Engineering Journal. 452. 139209–139209. 73 indexed citations

Islam, Md Shafiqul, Keshav Thapa, & Sung‐Hyun Yang. (2022). Epileptic-Net: An Improved Epileptic Seizure Detection System Using Dense Convolutional Block with Attention Network from EEG. Sensors. 22(3). 728–728. 29 indexed citations

Thapa, Keshav, et al.. (2022). Detection of Image Level Forgery with Various Constraints Using DFDC Full and Sample Datasets. Sensors. 22(23). 9121–9121. 6 indexed citations

Pandey, Puran, Keshav Thapa, Gunendra Prasad Ojha, et al.. (2022). Metal-Organic Frameworks-Based Triboelectric Nanogenerator Powered Visible Light Communication System for Wireless Human-Machine Interactions. SSRN Electronic Journal. 1 indexed citations

Uddin, Mohammad Helal, et al.. (2021). Detecting Cognitive Impairment Status Using Keystroke Patterns and Physical Activity Data among the Older Adults: A Machine Learning Approach. Journal of Healthcare Engineering. 2021. 1–16. 4 indexed citations

Thapa, Keshav, et al.. (2021). Adapted Long Short-Term Memory (LSTM) for Concurrent\\ Human Activity Recognition. Computers, materials & continua/Computers, materials & continua (Print). 69(2). 1653–1670. 6 indexed citations

10.

Thapa, Keshav, et al.. (2021). Improving R Peak Detection in ECG Signal Using Dynamic Mode Selected Energy and Adaptive Window Sizing Algorithm with Decision Tree Algorithm. Sensors. 21(19). 6682–6682. 10 indexed citations

11.

Mamun, Mohammed A., et al.. (2020). Unobtrusive monitoring of behavior and movement patterns to detect clinical depression severity level via smartphone. Journal of Biomedical Informatics. 103. 103371–103371. 46 indexed citations

12.

Thapa, Keshav, et al.. (2020). A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition. Sensors. 20(20). 5770–5770. 26 indexed citations

13.

Thapa, Keshav, et al.. (2018). State-Space based Linear Modeling for Human Activity Recognition in Smart Space. Intelligent Automation & Soft Computing. 1–9. 13 indexed citations

14.

Yang, Sung‐Hyun, et al.. (2018). Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition. International Journal of Distributed Sensor Networks. 14(4). 812230022–812230022. 9 indexed citations

15.

Thapa, Keshav, et al.. (2016). Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments. International Journal of Distributed Sensor Networks. 12(1). 4560365–4560365. 52 indexed citations

16.

Thapa, Keshav, et al.. (2015). Ontology-based Context Modeling to Facilitate Reasoning in a Context-Aware System: A Case Study for the Smart Home. International Journal of Smart Home. 9(9). 151–156. 6 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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