Bhasker Pant

1.0k total citations
105 papers, 493 citations indexed

About

Bhasker Pant is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Bhasker Pant has authored 105 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Information Systems, 38 papers in Computer Networks and Communications and 27 papers in Artificial Intelligence. Recurrent topics in Bhasker Pant's work include Internet of Things and AI (18 papers), IoT and Edge/Fog Computing (17 papers) and Blockchain Technology Applications and Security (13 papers). Bhasker Pant is often cited by papers focused on Internet of Things and AI (18 papers), IoT and Edge/Fog Computing (17 papers) and Blockchain Technology Applications and Security (13 papers). Bhasker Pant collaborates with scholars based in India, United States and Saudi Arabia. Bhasker Pant's co-authors include Devesh Pratap Singh, Priya Matta, Santosh Kumar, Garima Bhardwaj, Umesh Kumar Tiwari, Kumud Pant, Liaqat Ali, Soumya Pandit, Uma N. Dulhare and Khalid K. Almuzaini and has published in prestigious journals such as Materials Letters, Energy Reports and Wireless Personal Communications.

In The Last Decade

Bhasker Pant

84 papers receiving 455 citations

Peers

Bhasker Pant
Sarvesh Kumar India
Muhammad Azam Zia Pakistan
Hyun Ah Song United States
Tao Feng China
Hossein Azgomi Iran
Zhiqiang Wang China
Guangxia Li China
Pankaj Bhambri India
Muhammed Basheer Jasser Malaysia
A. Noraziah Malaysia
Sarvesh Kumar India
Bhasker Pant
Citations per year, relative to Bhasker Pant Bhasker Pant (= 1×) peers Sarvesh Kumar

Countries citing papers authored by Bhasker Pant

Since Specialization
Citations

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

Fields of papers citing papers by Bhasker Pant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhasker Pant

This figure shows the co-authorship network connecting the top 25 collaborators of Bhasker Pant. A scholar is included among the top collaborators of Bhasker Pant 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 Bhasker Pant. Bhasker Pant 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.
Tripathi, Vikas, et al.. (2024). Detecting Deepfake Videos Through CNN-MLP Model in Media Forensics. 1–7. 1 indexed citations
2.
Pant, Bhasker, et al.. (2023). A review on future prospects on magnetic levitation for disease diagnosis. AIP conference proceedings. 2630. 40009–40009. 1 indexed citations
3.
Sharma, Manish, et al.. (2023). TRS: Trusted recommendation system for fast changing dataset. AIP conference proceedings. 2730. 50014–50014. 1 indexed citations
4.
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Shukla, Prashant Kumar, et al.. (2023). A Complex Brain Learning Skeleton Comprising Enriched Pattern Neural Network System for Next Era Internet of Things. Journal of Healthcare Engineering. 2023(1). 5 indexed citations
6.
Hemavathi, S., et al.. (2022). Developing a dual axis photoelectric tracking module using a multi quadrant photoelectric device. Energy Reports. 8. 1426–1439. 7 indexed citations
7.
Thakare, Anuradha, et al.. (2022). Integrating Multiclass Light Weighted BiLSTM Model for Classifying Negative Emotions. Computational Intelligence and Neuroscience. 2022. 1–8. 6 indexed citations
8.
Singh, Amarendra K., et al.. (2022). Automatic Assisstance System Based on Machine Learning for Effective Crowd Management. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 1–6. 3 indexed citations
9.
Matta, Priya, et al.. (2022). A comparative study of different sentiment analysis classifiers for cybercrime detection on social media platforms. AIP conference proceedings. 2767. 60005–60005. 1 indexed citations
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11.
Pant, Bhasker, et al.. (2021). Visual Cryptography: A Study And Its Application ToBiometric Authentication. 1 indexed citations
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14.
Pant, Kumud, et al.. (2021). Conceiving and Creating a Diagnosis Chatbot to Back UpPrimary Health Services. 3157–3164. 1 indexed citations
15.
Upadhyay, Rajesh Kumar, et al.. (2021). A Study of E-Learning Use and Readiness in HigherEducation Institutions. 1 indexed citations
16.
Pant, Bhasker, et al.. (2020). Recommendation Systems in the Big Data Era. International Journal of Innovative Technology and Exploring Engineering. 8(12s3). 80–85. 2 indexed citations
17.
Pant, Kumud, et al.. (2020). A Molecular Docking Study towards Finding Herbal Treatment against Polycystic OvarySyndrome (PCOS). International Journal of Recent Technology and Engineering (IJRTE). 8(2S12). 38–41. 5 indexed citations
18.
Kumar, Santosh, et al.. (2020). Prediction of Environmental Pollution Using Hybrid PSO-K-Means Approach. International Journal of E-Health and Medical Communications. 12(2). 65–76. 2 indexed citations
19.
Garg, Harshit, et al.. (2019). An Efficient Framework using Deep Learning for Skin Cancer Classification. International Journal of Innovative Technology and Exploring Engineering. 2(9). 1947–1951. 2 indexed citations
20.
Rishishwar, Lavanya, Neha Mishra, Bhasker Pant, Kumud Pant, & Kamal Raj Pardasani. (2010). Support Vector Machine Approach for Isomerases Prediction Problem. 2(5). 89–94.

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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