Prabhash Chandra Pathak
Impact in
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- Topic Modeling
- Adversarial Robustness in Machine Learning
- Semantic Web and Ontologies
Papers in
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- Blockchain Technology Applications and Security 4
- Information and Cyber Security 2
- Cloud Data Security Solutions 2
- Spam and Phishing Detection 1
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- IoT and Edge/Fog Computing 3
- Co-authors
- Shruti Shukla (1 shared paper)Shruti Agarwal (1 shared paper)Nupur Soni (3 shared papers)Raees Ahmad Khan (2 shared papers)Masood Ahmad (2 shared papers)Rajeev Kumar (1 shared paper)
- Journals
- International Journal of Information Technology (1 paper)Materials Today Proceedings (1 paper)International Journal of Education and Management Engineering (1 paper)
- Partner nations
- India
In The Last Decade
Prabhash Chandra Pathak
8 papers receiving 113 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 3
- Artificial Intelligence 37
- Computer Science Applications 6
- Information Systems 24
- Software 4
Countries citing papers authored by Prabhash Chandra Pathak
This map shows the geographic impact of Prabhash Chandra Pathak'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 Prabhash Chandra Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhash Chandra Pathak more than expected).
Fields of papers citing papers by Prabhash Chandra Pathak
This network shows the impact of papers produced by Prabhash Chandra Pathak. 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 Prabhash Chandra Pathak. The network helps show where Prabhash Chandra Pathak may publish in the future.
Co-authors
The 6 scholars most cited alongside Prabhash Chandra Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 87 | |
| 2 | 2022 | 11 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 |
About Prabhash Chandra Pathak
Prabhash Chandra Pathak is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 114 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), IoT and Edge/Fog Computing (3 papers), Information and Cyber Security (2 papers), Cloud Data Security Solutions (2 papers), Advanced Materials and Mechanics (1 paper), Spam and Phishing Detection (1 paper), Quantum Computing Algorithms and Architecture (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Health Informatics (3 citations), Artificial Intelligence (37 citations), Computer Science Applications (6 citations), Information Systems (24 citations) and Software (4 citations). Prabhash Chandra Pathak has collaborated with scholars based in India. Frequent co-authors include Shruti Shukla, Shruti Agarwal, Nupur Soni, Raees Ahmad Khan, Masood Ahmad and Rajeev Kumar. Their work appears in journals such as International Journal of Information Technology, Materials Today Proceedings and International Journal of Education and Management Engineering.
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.