Arijit Ukil
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Anomaly Detection Techniques and Applications 11
- Privacy-Preserving Technologies in Data 8
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- Security in Wireless Sensor Networks 7
- Co-authors
- Arpan Pal (38 shared papers)Soma Bandyopadhyay (20 shared papers)Chetanya Puri (14 shared papers)Jaydip Sen (8 shared papers)Soma Bandyopadhyay (7 shared papers)Ayan Mukherjee (7 shared papers)Antonio J. Jara (12 shared papers)Leandro Marín (11 shared papers)
- Journals
- PLoS ONE (2 papers)Transactions on Emerging Telecommunications Technologies (1 paper)IEEE Sensors Journal (1 paper)Physiological Measurement (1 paper)Sensors (1 paper)
- Partner nations
- IndiaSpainUnited States
In The Last Decade
Arijit Ukil
66 papers receiving 907 citations
Peers
Comparison fields: 5 of 79
- Computer Networks and Communications 421
- Signal Processing 167
- Artificial Intelligence 344
- Cardiology and Cardiovascular Medicine 240
- Health Information Management 38
Countries citing papers authored by Arijit Ukil
This map shows the geographic impact of Arijit Ukil'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 Arijit Ukil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Ukil more than expected).
Fields of papers citing papers by Arijit Ukil
This network shows the impact of papers produced by Arijit Ukil. 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 Arijit Ukil. The network helps show where Arijit Ukil may publish in the future.
Co-authors
The 25 scholars most cited alongside Arijit Ukil, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 125 | |
| 2 | 2017 | 115 | |
| 3 | 2011 | 91 | |
| 4 | 2014 | 75 | |
| 5 | 2015 | 46 | |
| 6 | 2019 | 33 | |
| 7 | 2015 | 26 | |
| 8 | 2009 | 25 | |
| 9 | 2012 | 24 | |
| 10 | 2013 | 24 | |
| 11 | 2014 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2013 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2015 | 18 | |
| 16 | 2022 | 17 | |
| 17 | 2016 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2016 | 15 | |
| 20 | 2019 | 15 |
About Arijit Ukil
Arijit Ukil is a scholar working on Artificial Intelligence, Computer Networks and Communications, Cardiology and Cardiovascular Medicine, Signal Processing and Electrical and Electronic Engineering, having authored 71 papers that have together received 972 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (18 papers), Time Series Analysis and Forecasting (12 papers), Anomaly Detection Techniques and Applications (11 papers), Non-Invasive Vital Sign Monitoring (9 papers), Privacy-Preserving Technologies in Data (8 papers), EEG and Brain-Computer Interfaces (7 papers), Security in Wireless Sensor Networks (7 papers) and Advanced Wireless Network Optimization (6 papers). The work is most often cited by research in Computer Networks and Communications (421 citations), Signal Processing (167 citations), Artificial Intelligence (344 citations), Cardiology and Cardiovascular Medicine (240 citations) and Health Information Management (38 citations). Arijit Ukil has collaborated with scholars based in India, Spain and United States. Frequent co-authors include Arpan Pal, Soma Bandyopadhyay, Chetanya Puri, Jaydip Sen, Soma Bandyopadhyay, Ayan Mukherjee, Antonio J. Jara, Leandro Marín, Anirban Dutta Choudhury and Rohan Banerjee. Their work appears in journals such as PLoS ONE, Transactions on Emerging Telecommunications Technologies, IEEE Sensors Journal, Physiological Measurement and Sensors.
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.