Tapas Badal

440 total citations
24 papers, 252 citations indexed

About

Tapas Badal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tapas Badal has authored 24 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Tapas Badal's work include Video Surveillance and Tracking Methods (12 papers), Human Pose and Action Recognition (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Tapas Badal is often cited by papers focused on Video Surveillance and Tracking Methods (12 papers), Human Pose and Action Recognition (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Tapas Badal collaborates with scholars based in India and Italy. Tapas Badal's co-authors include Vipul Kumar Mishra, Gaurav Singal, Rishav Singh, Venkataramana Veeramsetty, Harshit Bhardwaj, Ankit Vidyarthi, Aditi Sakalle, Manish Raj, G. R. Sinha and Tejalal Choudhary and has published in prestigious journals such as Sensors, Computer Networks and Image and Vision Computing.

In The Last Decade

Tapas Badal

21 papers receiving 215 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tapas Badal India 9 138 76 37 34 29 24 252
İbrahim Furkan İnce Türkiye 8 103 0.7× 60 0.8× 33 0.9× 18 0.5× 7 0.2× 43 249
Cuong Pham Vietnam 10 197 1.4× 82 1.1× 12 0.3× 30 0.9× 29 1.0× 25 313
Ue-Hwan Kim South Korea 11 148 1.1× 73 1.0× 21 0.6× 21 0.6× 19 0.7× 23 302
Jathushan Rajasegaran Australia 9 209 1.5× 141 1.9× 25 0.7× 21 0.6× 30 1.0× 13 319
Haocong Rao China 10 284 2.1× 143 1.9× 13 0.4× 27 0.8× 14 0.5× 15 422
Aouaidjia Kamel China 6 247 1.8× 86 1.1× 13 0.4× 11 0.3× 24 0.8× 10 333
Marco Cascio Italy 8 119 0.9× 61 0.8× 10 0.3× 15 0.4× 8 0.3× 11 256
Noramiza Hashim Malaysia 9 114 0.8× 61 0.8× 11 0.3× 18 0.5× 23 0.8× 26 268
Zhen-Peng Bian Singapore 7 245 1.8× 65 0.9× 9 0.2× 27 0.8× 13 0.4× 9 352
Sheikh Badar ud din Tahir Pakistan 8 280 2.0× 83 1.1× 7 0.2× 39 1.1× 11 0.4× 11 368

Countries citing papers authored by Tapas Badal

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Badal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapas Badal

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

All Works

20 of 20 papers shown
1.
Verma, Ayushi, Tapas Badal, & Abhay Bansal. (2025). A novel framework for diverse video generation from a single video using frame-conditioned denoising diffusion probabilistic model and ConvNeXt-V2. Image and Vision Computing. 154. 105422–105422.
2.
Badal, Tapas, et al.. (2025). EEWS: energy-efficient multi-objective workflow scheduling in IaaS cloud environments with CP-FPA optimization. International Journal of Information Technology. 17(5). 3157–3172. 2 indexed citations
4.
Verma, Ayushi, Tapas Badal, & Abhay Bansal. (2024). Advancing Image Generation with Denoising Diffusion Probabilistic Model and ConvNeXt-V2: A novel approach for enhanced diversity and quality. Computer Vision and Image Understanding. 247. 104077–104077. 2 indexed citations
5.
Badal, Tapas, et al.. (2024). An Efficient Approach for Pedestrian Detection. 1–6.
6.
Choudhary, Tejalal, et al.. (2022). Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification. Applied Intelligence. 53(6). 7201–7215. 31 indexed citations
7.
Badal, Tapas, Vipul Kumar Mishra, G. R. Sinha, et al.. (2022). Yoga Pose Estimation and Feedback Generation Using Deep Learning. Computational Intelligence and Neuroscience. 2022. 1–12. 56 indexed citations
8.
Badal, Tapas, et al.. (2022). UAV surveillance for violence detection and individual identification. Automated Software Engineering. 29(1). 22 indexed citations
9.
Bhardwaj, Harshit, et al.. (2022). A DeepLSTM Model for Personality Traits Classification Using EEG Signals. IETE Journal of Research. 69(10). 7272–7280. 12 indexed citations
10.
Singal, Gaurav, et al.. (2022). RoadWay. Multimedia Tools and Applications. 82(4). 4965–4978. 14 indexed citations
11.
Badal, Tapas, et al.. (2021). Recognizing human violent action using drone surveillance within real-time proximity. Journal of Real-Time Image Processing. 18(5). 1851–1863. 23 indexed citations
12.
Badal, Tapas, et al.. (2021). Real Life Violence Detection in Surveillance Videos using Spatiotemporal Features. 262–266. 5 indexed citations
13.
Kotecha, Ketan, et al.. (2021). Enhanced Network Intrusion Detection System. Sensors. 21(23). 7835–7835. 16 indexed citations
14.
Badal, Tapas, et al.. (2021). Maze Solving with humanoid robot NAO using Real-Time object detection. 13. 1–6. 1 indexed citations
16.
Tripathi, Vikas, et al.. (2019). An efficient vision based elderly care monitoring framework using fall detection. Journal of Statistics and Management Systems. 22(4). 603–611. 2 indexed citations
17.
Chaudhary, Anil, et al.. (2019). Microservices in Big Data Analytics. 5 indexed citations
18.
Badal, Tapas, Neeta Nain, & Mushtaq Ahmed. (2017). Multi-object trajectory coupling using online target specific decision making. 1–6. 2 indexed citations
19.
Badal, Tapas, Neeta Nain, & Mushtaq Ahmed. (2015). Video partitioning by segmenting moving object trajectories. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9445. 94451B–94451B. 1 indexed citations
20.
Badal, Tapas, et al.. (2015). An Adaptive Codebook Model for Change Detection with Dynamic Background. 1. 110–116. 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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