Shubhojeet Chatterjee

428 citations
4 papers · 263 indexed · 1 hit paper · h-index 3
Topics
Image and Signal Denoising Methods (3 papers)ECG Monitoring and Analysis (2 papers)Advanced Image Processing Techniques (2 papers)
Partner nations
India

In The Last Decade

Shubhojeet Chatterjee

4 papers receiving 255 citations

Hit Papers

Review of noise removal techniques in ECG signals2020202620222024202050100150200

Peers

Shubhojeet Chatterjee
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 157
  • Biomedical Engineering 99
  • Cognitive Neuroscience 75
  • Computer Vision and Pattern Recognition 58
  • Signal Processing 36
Replace Rini Smita Thakur with:
Rini Smita Thakur India
Lalita Gupta India
Rahul Kher India
Aykut Di̇ker Türkiye
M. Ganesan India
D. K. Raghuvanshi India
Y. Padma Sai India
Leandro B. Marinho Brazil
L. V. Rajani Kumari India
Sibghatullah I. Khan India
Shubhojeet Chatterjee relative to Rini Smita Thakur India Rini Smita Thakur's profile →
Citations per field
00.5×1.5×
Rini Smita Thakur · 1×
Citations per year

Countries citing papers authored by Shubhojeet Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Shubhojeet Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubhojeet Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Shubhojeet Chatterjee. A scholar is included among the top collaborators of Shubhojeet Chatterjee 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 Shubhojeet Chatterjee. Shubhojeet Chatterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 1
2 18
3 39
4
Review of noise removal techniques in ECG signalsbreakdown →
205

About Shubhojeet Chatterjee

Shubhojeet Chatterjee is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 4 papers that have together received 263 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), ECG Monitoring and Analysis (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (157 citations), Cognitive Neuroscience (75 citations) and Signal Processing (36 citations). Shubhojeet Chatterjee has collaborated with scholars based in India. Frequent co-authors include Lalita Gupta, Ram Narayan Yadav, Rini Smita Thakur and D. K. Raghuvanshi. Their work appears in journals such as IEEE Access, Signal Processing and IET 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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