Arvind Kumar Tiwari

60 papers receiving 865 citations

Arvind Kumar Tiwari's Hit Papers

Optimal selection of wavelet basis function applied to ECG signal denoising 2006 · 412 citations
4120+6+13Years since publication100200300400

Peers

Arvind Kumar Tiwari
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 298
  • Signal Processing 122
  • Cognitive Neuroscience 177
  • Computer Vision and Pattern Recognition 169
  • Health Information Management 29
Replace Ahmad Ayatollahi with:
Ahmad Ayatollahi Iran
Ramesh Kumar Sunkaria India
Li Qiao China
P. Karthigaikumar India
Farhan Riaz Pakistan
Pu Wang China
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Arvind Kumar Tiwari relative to Ahmad Ayatollahi Iran Ahmad Ayatollahi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arvind Kumar Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Kumar Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind Kumar Tiwari. 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 Arvind Kumar Tiwari. The network helps show where Arvind Kumar Tiwari may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Optimal selection of wavelet basis function applied to ECG signal denoising
Hit paper breakdown →
2006412
2 202089
3 200660
4 201641
5 201340
6 201629
7 201426
8 201318
9 201517
10 202116
11 201914
12 201613
13 202110
14 201910
15 201910
16 20189
17
Ultrasonic attenuation in semiconductors
20028
18 20158
19 20246
20 20216

About Arvind Kumar Tiwari

Arvind Kumar Tiwari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 67 papers that have together received 929 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (9 papers), Face recognition and analysis (7 papers), Face and Expression Recognition (6 papers), Artificial Intelligence in Healthcare (5 papers), Brain Tumor Detection and Classification (5 papers), AI in cancer detection (5 papers), Image and Signal Denoising Methods (5 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (298 citations), Signal Processing (122 citations), Cognitive Neuroscience (177 citations), Computer Vision and Pattern Recognition (169 citations) and Health Information Management (29 citations). Arvind Kumar Tiwari has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Brij N. Singh, Rajeev Srivastava, K.K. Shukla, Vipin Tiwari, Sukanta Das, Devraj Singh, H. S. Shukla, Narendra Kumar, Ajay Kumar and Anil Kumar. Their work appears in journals such as Digital Signal Processing, Journal of Cellular Biochemistry, Atmosphere, Computer Methods and Programs in Biomedicine and Computers & Electrical Engineering.

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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