Arshdeep Bahga
Impact in
- Information Systems top 1%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
- Cloud Data Security Solutions
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- IoT and Edge/Fog Computing
Papers in
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- Blockchain Technology Applications and Security 6
- Cloud Computing and Resource Management 6
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- Privacy-Preserving Technologies in Data 3
- Internet Traffic Analysis and Secure E-voting 2
- Semantic Web and Ontologies 2
Arshdeep Bahga
23 papers receiving 917 citations
Arshdeep Bahga's Hit Papers
Peers
Comparison fields: 5 of 84
- Information Systems 635
- Computer Networks and Communications 432
- Health Information Management 55
- Management Information Systems 111
- Industrial and Manufacturing Engineering 101
Countries citing papers authored by Arshdeep Bahga
This map shows the geographic impact of Arshdeep Bahga'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 Arshdeep Bahga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arshdeep Bahga more than expected).
Fields of papers citing papers by Arshdeep Bahga
This network shows the impact of papers produced by Arshdeep Bahga. 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 Arshdeep Bahga. The network helps show where Arshdeep Bahga may publish in the future.
Co-authors
The 2 scholars most cited alongside Arshdeep Bahga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Blockchain Platform for Industrial Internet of Things Hit paper breakdown → | 2016 | 468 |
| 2 | 2013 | 164 | |
| 3 | Internet of Things: A Hands-On Approach | 2014 | 109 |
| 4 | 2011 | 63 | |
| 5 | 2011 | 42 | |
| 6 | Blockchain Applications: A Hands-On Approach | 2017 | 21 |
| 7 | 2015 | 20 | |
| 8 | 2024 | 16 | |
| 9 | 2013 | 13 | |
| 10 | 2024 | 12 | |
| 11 | Cloud Computing: A Hands-On Approach | 2013 | 12 |
| 12 | Big Data Science & Analytics: A Hands-On Approach | 2016 | 11 |
| 13 | 2024 | 6 | |
| 14 | 2013 | 6 | |
| 15 | 2013 | 6 | |
| 16 | 2023 | 3 | |
| 17 | 2016 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2021 | 1 |
About Arshdeep Bahga
Arshdeep Bahga is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Management Information Systems and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 984 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (6 papers), Cloud Computing and Resource Management (6 papers), Software System Performance and Reliability (3 papers), IoT and Edge/Fog Computing (3 papers), Privacy-Preserving Technologies in Data (3 papers), Big Data and Business Intelligence (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Information Systems (635 citations), Computer Networks and Communications (432 citations), Health Information Management (55 citations), Management Information Systems (111 citations) and Industrial and Manufacturing Engineering (101 citations). Arshdeep Bahga has collaborated with scholars based in United States and India. Frequent co-authors include Vijay K. Madisetti and C. Rama Krishna. Their work appears in journals such as Computer, IEEE Transactions on Parallel and Distributed Systems, IEEE Access, IEEE Journal of Biomedical and Health Informatics and IEEE Embedded Systems Letters.
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.