Arpit Jain
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- Network Security and Intrusion Detection 10
- Interconnection Networks and Systems 7
- Energy Efficient Wireless Sensor Networks 6
- IoT and Edge/Fog Computing 5
- Health Informatics top 10%
- Ophthalmology top 5%
- Information Systems top 5%
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- Smart Agriculture and AI 9
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- Advanced Malware Detection Techniques 9
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- IoT-based Smart Home Systems 6
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- Internet Traffic Analysis and Secure E-voting 5
- Co-authors
- Sandeep KumarAnurag MittalShilpa RaniAdesh KumarChaman VermaZoltán IllésHammam AlshazlyMaria Simona Raboacă
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsHealth Informatics
- Journals
- Computers, materials & continua/Computers, materials & continua (Print) (2 papers)Heliyon (2 papers)Scientific Reports (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Arpit Jain
83 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 315
- Computer Networks and Communications 341
- Health Informatics 18
- Ophthalmology 107
- Information Systems 247
Countries citing papers authored by Arpit Jain
This map shows the geographic impact of Arpit Jain'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 Arpit Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpit Jain more than expected).
Fields of papers citing papers by Arpit Jain
This network shows the impact of papers produced by Arpit Jain. 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 Arpit Jain. The network helps show where Arpit Jain may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arpit Jain, 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 | 2025 | 9 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 30 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 26 | |
| 13 | 2022 | 26 | |
| 14 | 2022 | 52 | |
| 15 | 2022 | 18 | |
| 16 | 2022 | 44 | |
| 17 | DDoS Detection Using Machine Learning Ensemble | 2021 | 1 |
| 18 | 2021 | 70 | |
| 19 | FACTORS DETERMINING CONSUMER BUYING BEHAVIOUR IN ONLINE SHOPPING | 2021 | 14 |
| 20 | Synthesis of 2D and 3D NoC Mesh Router Architecture in HDL Environment | 2019 | 11 |
About Arpit Jain
Arpit Jain is a scholar working on Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 100 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Smart Agriculture and AI (9 papers), Advanced Malware Detection Techniques (9 papers), Interconnection Networks and Systems (7 papers), IoT-based Smart Home Systems (6 papers), Energy Efficient Wireless Sensor Networks (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Computer Networks and Communications (341 citations), Health Informatics (18 citations), Ophthalmology (107 citations) and Information Systems (247 citations). Arpit Jain has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Sandeep Kumar, Anurag Mittal, Shilpa Rani, Adesh Kumar, Chaman Verma, Zoltán Illés, Hammam Alshazly, Maria Simona Raboacă, Ali Ahmadian and Karan Singh. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Heliyon, Scientific Reports, Brain Topography and Sustainable Production and Consumption.
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.