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 12
- Privacy-Preserving Technologies in Data 10
- Cryptography and Data Security 7
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- Security in Wireless Sensor Networks 9
- Co-authors
- Arpan Pal (42 shared papers)Soma Bandyopadhyay (21 shared papers)Chetanya Puri (16 shared papers)Jaydip Sen (10 shared papers)Soma Bandyopadhyay (9 shared papers)Ayan Mukherjee (7 shared papers)Leandro Marín (12 shared papers)Antonio J. Jara (13 shared papers)
- Journals
- PLoS ONE (2 papers)Sensors (1 paper)IEEE Sensors Journal (1 paper)Transactions on Emerging Telecommunications Technologies (1 paper)Physiological Measurement (1 paper)
- Partner nations
- IndiaSpainSwitzerland
In The Last Decade
Arijit Ukil
74 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 529
- Signal Processing 188
- Cardiology and Cardiovascular Medicine 297
- Artificial Intelligence 401
- Information Systems 239
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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 161 | |
| 2 | 2017 | 124 | |
| 3 | 2011 | 105 | |
| 4 | 2014 | 99 | |
| 5 | 2015 | 48 | |
| 6 | 2019 | 35 | |
| 7 | 2014 | 31 | |
| 8 | 2015 | 30 | |
| 9 | 2012 | 29 | |
| 10 | 2009 | 26 | |
| 11 | 2015 | 26 | |
| 12 | 2013 | 26 | |
| 13 | 2013 | 25 | |
| 14 | 2015 | 23 | |
| 15 | 2022 | 23 | |
| 16 | 2016 | 21 | |
| 17 | 2014 | 20 | |
| 18 | 2014 | 19 | |
| 19 | 2016 | 17 | |
| 20 | 2016 | 17 |
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 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (22 papers), Anomaly Detection Techniques and Applications (12 papers), Time Series Analysis and Forecasting (12 papers), Non-Invasive Vital Sign Monitoring (11 papers), Privacy-Preserving Technologies in Data (10 papers), Security in Wireless Sensor Networks (9 papers), Phonocardiography and Auscultation Techniques (8 papers) and Cryptography and Data Security (7 papers). The work is most often cited by research in Computer Networks and Communications (529 citations), Signal Processing (188 citations), Cardiology and Cardiovascular Medicine (297 citations), Artificial Intelligence (401 citations) and Information Systems (239 citations). Arijit Ukil has collaborated with scholars based in India, Spain and Switzerland. Frequent co-authors include Arpan Pal, Soma Bandyopadhyay, Chetanya Puri, Jaydip Sen, Soma Bandyopadhyay, Ayan Mukherjee, Leandro Marín, Antonio J. Jara, Anirban Dutta Choudhury and Rohan Banerjee. Their work appears in journals such as PLoS ONE, Sensors, IEEE Sensors Journal, Transactions on Emerging Telecommunications Technologies and Physiological Measurement.
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.