Arijit Ukil

1.7k total citations
71 papers, 972 citations indexed

About

Arijit Ukil is a scholar working on Artificial Intelligence, Computer Networks and Communications and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Arijit Ukil has authored 71 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Arijit Ukil's work include ECG Monitoring and Analysis (18 papers), Time Series Analysis and Forecasting (12 papers) and Anomaly Detection Techniques and Applications (11 papers). Arijit Ukil is often cited by papers focused on ECG Monitoring and Analysis (18 papers), Time Series Analysis and Forecasting (12 papers) and Anomaly Detection Techniques and Applications (11 papers). Arijit Ukil collaborates with scholars based in India, Spain and United States. Arijit Ukil's co-authors include Arpan Pal, Soma Bandyopadhyay, Chetanya Puri, Jaydip Sen, Soma Bandyopadhyay, Ayan Mukherjee, Anirban Dutta Choudhury, Antonio J. Jara, Leandro Marín and Shreyasi Datta and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Arijit Ukil

66 papers receiving 907 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arijit Ukil India 17 421 344 240 182 167 71 972
Soma Bandyopadhyay India 14 161 0.4× 207 0.6× 180 0.8× 75 0.4× 76 0.5× 33 561
Mengshu Hou China 14 211 0.5× 178 0.5× 97 0.4× 85 0.5× 45 0.3× 80 653
Ahmed Mehaoua France 21 861 2.0× 247 0.7× 55 0.2× 102 0.6× 203 1.2× 121 1.3k
Shu‐Di Bao China 14 428 1.0× 95 0.3× 157 0.7× 417 2.3× 203 1.2× 48 1.2k
Yaser M. Wazery Egypt 12 218 0.5× 305 0.9× 135 0.6× 207 1.1× 17 0.1× 26 811
Hyunggon Park South Korea 12 386 0.9× 75 0.2× 54 0.2× 73 0.4× 48 0.3× 69 599
Aldri Santos Brazil 17 1.2k 2.7× 302 0.9× 30 0.1× 127 0.7× 237 1.4× 138 1.4k
Ammar Awad Mutlag Malaysia 10 537 1.3× 239 0.7× 42 0.2× 282 1.5× 36 0.2× 13 959
Khaled Mohamad Almustafa Saudi Arabia 14 184 0.4× 198 0.6× 42 0.2× 77 0.4× 42 0.3× 56 660
Gokulnath Chandra Babu India 11 213 0.5× 293 0.9× 54 0.2× 165 0.9× 23 0.1× 25 827

Countries citing papers authored by Arijit Ukil

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Arijit Ukil

This figure shows the co-authorship network connecting the top 25 collaborators of Arijit Ukil. A scholar is included among the top collaborators of Arijit Ukil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arijit Ukil. Arijit Ukil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ukil, Arijit, et al.. (2024). Structured Lottery Ticket Hypothesis for Effective Deep Neural Network Model Size Reduction. 330–334. 1 indexed citations
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Garain, Utpal, et al.. (2023). MedTric : A clinically applicable metric for evaluation of multi-label computational diagnostic systems. PLoS ONE. 18(8). e0283895–e0283895. 2 indexed citations
4.
Ukil, Arijit, Leandro Marín, & Antonio J. Jara. (2022). When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification. PLoS ONE. 17(11). e0277975–e0277975. 4 indexed citations
5.
Mukherjee, Arijit, et al.. (2022). TinyML Techniques for running Machine Learning models on Edge Devices. 1–2. 1 indexed citations
6.
Ukil, Arijit, et al.. (2021). Resource Constrained CVD Classification Using Single Lead ECG On Wearable and Implantable Devices. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 886–889. 11 indexed citations
7.
Ukil, Arijit, Antonio J. Jara, & Leandro Marín. (2020). On analyzing the household energy consumption detection for citizen behavioral analysis carbon footprint awareness by deep residual networks. 2699. 2 indexed citations
8.
Ukil, Arijit, Pankaj Malhotra, Soma Bandyopadhyay, et al.. (2019). Fusing Features based on Signal Properties and TimeNet for Time Series Classification.. The European Symposium on Artificial Neural Networks. 3 indexed citations
9.
Mukherjee, Ayan, Anirban Dutta Choudhury, Shreyasi Datta, et al.. (2019). Detection of atrial fibrillation and other abnormal rhythms from ECG using a multi-layer classifier architecture. Physiological Measurement. 40(5). 54006–54006. 33 indexed citations
10.
Ukil, Arijit, Leandro Marín, Antonio J. Jara, & John Farserotu. (2018). Knowledge-driven analytics and sensor signal processing in human-centric applications. ArODES (HES-SO (https://www.hes-so.ch/)). 1 indexed citations
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Datta, Shreyasi, Chetanya Puri, Ayan Mukherjee, et al.. (2017). Identifying Normal, AF and other Abnormal ECG Rhythms using a Cascaded Binary Classifier. Computing in cardiology. 44. 115 indexed citations
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Ukil, Arijit, Soma Bandyopadhyay, Aniruddha Sinha, & Arpan Pal. (2015). Adaptive Sensor Data Compression in IoT systems: Sensor data analytics based approach. 14 indexed citations
16.
Ukil, Arijit & Iti Saha Misra. (2012). Integrated predictive call admission control and resource reservation for wireless networks: an adaptive filtering approach. Transactions on Emerging Telecommunications Technologies. 24(7-8). 785–798. 1 indexed citations
17.
Ukil, Arijit. (2010). Application of Kolmogorov complexity in anomaly detection. 141–146. 4 indexed citations
18.
Ukil, Arijit. (2010). Trust and Reputation Based Collaborating Computing in Wireless Sensor Networks. computer communication. 464–469. 6 indexed citations
19.
Ukil, Arijit. (2009). QoS aware predictive Call Admission Control and resource reservation in next generation wireless networks. 1–4. 1 indexed citations
20.
Sen, Jaydip, et al.. (2008). A distributed intrusion detection system for wireless ad hoc networks. 1796. 1–6. 6 indexed citations

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.

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