Ashish Kumar
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Manjeet KumarRama KomaragiriPankajYogendera KumarSamayveer SinghRakesh N. TiwariVijay KumarMeenu Gupta
- Topics
- ECG Monitoring and Analysis (24 papers)Non-Invasive Vital Sign Monitoring (21 papers)EEG and Brain-Computer Interfaces (11 papers)
- Journals
- IEEE Internet of Things JournalIEEE Transactions on Instrumentation and MeasurementIEEE Sensors Journal
- Partner nations
- IndiaSwitzerlandUnited States
In The Last Decade
Ashish Kumar
31 papers receiving 794 citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 484
- Biomedical Engineering 403
- Cognitive Neuroscience 251
- Signal Processing 112
- Computer Vision and Pattern Recognition 107
Countries citing papers authored by Ashish Kumar
This map shows the geographic impact of Ashish 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 Ashish Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Kumar more than expected).
Fields of papers citing papers by Ashish Kumar
This network shows the impact of papers produced by Ashish 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 Ashish Kumar. The network helps show where Ashish Kumar may publish in the future.
Co-authorship network of co-authors of Ashish Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Kumar. A scholar is included among the top collaborators of Ashish Kumar 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 Ashish Kumar. Ashish Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 27 | |
| 9 | 54 | |
| 10 | 166 | |
| 11 | 11 | |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 53 | |
| 15 | 21 | |
| 16 | 50 | |
| 17 | 60 | |
| 18 | 35 | |
| 19 | 33 | |
| 20 | 4 |
About Ashish Kumar
Ashish Kumar is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience, having authored 33 papers that have together received 810 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (24 papers), Non-Invasive Vital Sign Monitoring (21 papers) and EEG and Brain-Computer Interfaces (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (484 citations), Cognitive Neuroscience (251 citations) and Signal Processing (112 citations). Ashish Kumar has collaborated with scholars based in India, Switzerland and United States. Frequent co-authors include Manjeet Kumar, Rama Komaragiri, Pankaj, Yogendera Kumar, Samayveer Singh, Rakesh N. Tiwari, Vijay Kumar and Meenu Gupta. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.
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.