Samit Ari

101 papers receiving 1.7k citations

Peers

Samit Ari
Comparison fields: 5 of 96
  • Human-Computer Interaction 315
  • Cardiology and Cardiovascular Medicine 680
  • Cognitive Neuroscience 609
  • Computer Vision and Pattern Recognition 415
  • Signal Processing 211
Replace G. Castellanos-Domínguez with:
G. Castellanos-Domínguez Colombia
Sumair Aziz Pakistan
Hong-Bo Xie China
Damjan Zazula Slovenia
Zhuliang Yu China
Ahmet Alkan Türkiye
Yongxiong Wang China
Noboru Ohnishi Japan
Hamed Azami United Kingdom
Rajesh Kumar Tripathy India
Samit Ari relative to G. Castellanos-Domínguez Colombia G. Castellanos-Domínguez's profile →
Citations per field
00.5×4.4×
G. Castellanos-Domínguez · 1×
Citations per year

Countries citing papers authored by Samit Ari

Since Specialization
Citations

This map shows the geographic impact of Samit Ari'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 Samit Ari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samit Ari more than expected).

Fields of papers citing papers by Samit Ari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samit Ari. 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 Samit Ari. The network helps show where Samit Ari may publish in the future.

Co-authors

The 18 scholars most cited alongside Samit Ari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samit Ari Line = papers co-authored together Samit Ari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015170
2 2010128
3 201491
4 201364
5 201363
6 201949
7 201748
8 201148
9 200844
10 201942
11 202041
12 200841
13 201840
14 202339
15 202039
16
Denoising of ECG signals using Empirical Mode Decomposition based technique
201236
17 201934
18 201431
19 201831
20 202130

About Samit Ari

Samit Ari is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Human-Computer Interaction, having authored 110 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (33 papers), ECG Monitoring and Analysis (31 papers), Phonocardiography and Auscultation Techniques (24 papers), Human Pose and Action Recognition (20 papers), Hand Gesture Recognition Systems (17 papers), Gait Recognition and Analysis (12 papers), Remote-Sensing Image Classification (10 papers) and Remote Sensing and Land Use (9 papers). The work is most often cited by research in Human-Computer Interaction (315 citations), Cardiology and Cardiovascular Medicine (680 citations), Cognitive Neuroscience (609 citations), Computer Vision and Pattern Recognition (415 citations) and Signal Processing (211 citations). Samit Ari has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Manab Kumar Das, Goutam Saha, Dipak Ghosh, Manu Mathew Thomas, Jaya Prakash Sahoo, Anil Chacko, Sarat Kumar Patra, Kamalakanta Mahapatra, Neha Gupta and Allam Jaya Prakash. Their work appears in journals such as Biomedical Signal Processing and Control, Expert Systems with Applications, Journal of Applied Biomedicine, IEEE Transactions on Emerging Topics in Computational Intelligence and Digital Signal Processing.

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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