Arpit Jain
Impact in
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- Digital Imaging for Blood Diseases
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- Network Security and Intrusion Detection 10
- Interconnection Networks and Systems 9
- Energy Efficient Wireless Sensor Networks 6
- Co-authors
- Sandeep Kumar (16 shared papers)Adesh Kumar (9 shared papers)Anurag Mittal (1 shared paper)Shilpa Rani (6 shared papers)Rakesh Dwivedi (4 shared papers)Chaman Verma (5 shared papers)Sanjeev Sharma (2 shared papers)Zoltán Illés (4 shared papers)
- Journals
- Computers, materials & continua/Computers, materials & continua (Print) (2 papers)Heliyon (2 papers)Brain Topography (1 paper)Sustainable Production and Consumption (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Arpit Jain
108 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 390
- Computer Networks and Communications 431
- Ophthalmology 117
- Neurology 114
- Health Informatics 19
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-authors
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
Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 149 | |
| 2 | 2023 | 100 | |
| 3 | 2021 | 92 | |
| 4 | 2021 | 62 | |
| 5 | 2022 | 61 | |
| 6 | 2016 | 53 | |
| 7 | 2022 | 51 | |
| 8 | 2021 | 50 | |
| 9 | 2022 | 47 | |
| 10 | 2023 | 45 | |
| 11 | 2021 | 44 | |
| 12 | 2020 | 41 | |
| 13 | 2022 | 41 | |
| 14 | 2022 | 39 | |
| 15 | 2023 | 38 | |
| 16 | 2021 | 38 | |
| 17 | 2021 | 36 | |
| 18 | 2022 | 35 | |
| 19 | 2020 | 34 | |
| 20 | 2015 | 30 |
About Arpit Jain
Arpit Jain is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 110 papers that have together received 1.8k indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (9 papers), Interconnection Networks and Systems (9 papers), Energy Efficient Wireless Sensor Networks (6 papers), Embedded Systems Design Techniques (6 papers), IoT-based Smart Home Systems (6 papers) and Brain Tumor Detection and Classification (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (390 citations), Computer Networks and Communications (431 citations), Ophthalmology (117 citations), Neurology (114 citations) and Health Informatics (19 citations). Arpit Jain has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Sandeep Kumar, Adesh Kumar, Anurag Mittal, Shilpa Rani, Rakesh Dwivedi, Chaman Verma, Sanjeev Sharma, Zoltán Illés, Hammam Alshazly and Maria Simona Raboacă. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Heliyon, Brain Topography, Sustainable Production and Consumption and Scientific Reports.
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.