Ranjeet Kumar
- Signal Processing top 5%
- Blind Source Separation Techniques 9
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- ECG Monitoring and Analysis 14
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- Image and Signal Denoising Methods 7
- Advanced Data Compression Techniques 3
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- Analog and Mixed-Signal Circuit Design 7
- Non-Invasive Vital Sign Monitoring 5
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- AI in cancer detection 4
- Machine Learning and ELM 3
- Co-authors
- Anil KumarGirish Kumar SinghRajesh K. PandeyJin Tae KwakShyam LalJyoti KiniKoushlendra Kumar SinghKoshy George
- Cited by
- Signal ProcessingCardiology and Cardiovascular MedicineComputer Vision and Pattern Recognition
- Journals
- Scientific Reports (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Computers & Electrical Engineering (1 paper)
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
Ranjeet Kumar
33 papers receiving 430 citations
Peers
Comparison fields: 5 of 66
- Signal Processing 136
- Cardiology and Cardiovascular Medicine 236
- Computer Vision and Pattern Recognition 155
- Health Informatics 6
- Biomedical Engineering 174
Countries citing papers authored by Ranjeet Kumar
This map shows the geographic impact of Ranjeet Kumar'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 Ranjeet Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjeet Kumar more than expected).
Fields of papers citing papers by Ranjeet Kumar
This network shows the impact of papers produced by Ranjeet Kumar. 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 Ranjeet Kumar. The network helps show where Ranjeet Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ranjeet Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 39 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2019 | 21 | |
| 11 | 2018 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 6 | |
| 14 | 2016 | 3 | |
| 15 | 2016 | 62 | |
| 16 | 2016 | 22 | |
| 17 | 2015 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2004 | 2 | |
| 20 | 2003 | 2 |
About Ranjeet Kumar
Ranjeet Kumar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 451 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (14 papers), Blind Source Separation Techniques (9 papers), Image and Signal Denoising Methods (7 papers), Analog and Mixed-Signal Circuit Design (7 papers), Non-Invasive Vital Sign Monitoring (5 papers), AI in cancer detection (4 papers), Machine Learning and ELM (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Signal Processing (136 citations), Cardiology and Cardiovascular Medicine (236 citations) and Computer Vision and Pattern Recognition (155 citations). Ranjeet Kumar has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Anil Kumar, Girish Kumar Singh, Rajesh K. Pandey, Jin Tae Kwak, Shyam Lal, Jyoti Kini, Koushlendra Kumar Singh, Koshy George, Prveen Bidare and Gunji Bala Murali. Their work appears in journals such as Scientific Reports, 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.