Indu Saini

1.1k citations
72 papers · 701 · h-index 13

Impact in

Papers in

Indu Saini

68 papers receiving 658 citations

Peers

Indu Saini
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 303
  • Cognitive Neuroscience 197
  • Computer Vision and Pattern Recognition 159
  • Signal Processing 68
  • Health Information Management 26
Replace Felipe Alonso‐Atienza with:
Felipe Alonso‐Atienza Spain
Barjinder Singh Saini India
Mohammad Loni Sweden
Kailash Chandra Ray India
Muqing Deng China
Mehmet Korürek Türkiye
Hong He China
Yasin Kaya Türkiye
Manpreet Kaur India
Yalan Ye China
Indu Saini relative to Felipe Alonso‐Atienza Spain Felipe Alonso‐Atienza's profile →
Citations per field
00.5×
Felipe Alonso‐Atienza · 1×
Citations per year

Countries citing papers authored by Indu Saini

Since Specialization
Citations

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

Fields of papers citing papers by Indu Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Indu Saini, 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 Indu Saini Line = papers co-authored together Indu Saini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012250
2 201729
3 201427
4 201325
5 201423
6 201423
7 201823
8 201721
9 201815
10
Analysis ECG Data Compression Techniques- A Survey Approach
201314
11 202213
12 202213
13 202112
14 202011
15 201311
16 202010
17 202310
18 20129
19 20179
20 20248

About Indu Saini

Indu Saini is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing, having authored 72 papers that have together received 701 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (25 papers), EEG and Brain-Computer Interfaces (14 papers), Non-Invasive Vital Sign Monitoring (12 papers), Heart Rate Variability and Autonomic Control (12 papers), Blind Source Separation Techniques (9 papers), Chaos-based Image/Signal Encryption (8 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Analog and Mixed-Signal Circuit Design (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (303 citations), Cognitive Neuroscience (197 citations), Computer Vision and Pattern Recognition (159 citations), Signal Processing (68 citations) and Health Information Management (26 citations). Indu Saini has collaborated with scholars based in India and United States. Frequent co-authors include Arun Khosla, Dilbag Singh, Phool Singh, Neetu Sood, Barjinder Singh Saini, Kehar Singh, Butta Singh, Anil Kumar Yadav, Ashwani Kumar Yadav and Neelam Sharma. Their work appears in journals such as Multimedia Tools and Applications, Plant Physiology and Biochemistry, Computers & Electrical Engineering, Optics & Laser Technology and 3D Research.

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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