Kailash Chandra Ray
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Co-authors
- Sandeep RajOm ShankarAnindya Sundar DharAyushi PriyamVikas KumarTanuj SharmaArijit MondalPauline C. Haddow
- Topics
- ECG Monitoring and Analysis (18 papers)EEG and Brain-Computer Interfaces (15 papers)Digital Filter Design and Implementation (14 papers)
- Partner nations
- IndiaNorwayUnited States
In The Last Decade
Kailash Chandra Ray
68 papers receiving 971 citations
Peers
Comparison fields: 5 of 75
- Cardiology and Cardiovascular Medicine 521
- Cognitive Neuroscience 401
- Biomedical Engineering 270
- Electrical and Electronic Engineering 212
- Signal Processing 171
Countries citing papers authored by Kailash Chandra Ray
This map shows the geographic impact of Kailash Chandra Ray'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 Kailash Chandra Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailash Chandra Ray more than expected).
Fields of papers citing papers by Kailash Chandra Ray
This network shows the impact of papers produced by Kailash Chandra Ray. 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 Kailash Chandra Ray. The network helps show where Kailash Chandra Ray may publish in the future.
Co-authorship network of co-authors of Kailash Chandra Ray
This figure shows the co-authorship network connecting the top 25 collaborators of Kailash Chandra Ray. A scholar is included among the top collaborators of Kailash Chandra Ray 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 Kailash Chandra Ray. Kailash Chandra Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 28 | |
| 10 | 7 | |
| 11 | 30 | |
| 12 | 32 | |
| 13 | 19 | |
| 14 | 104 | |
| 15 | 0 | |
| 16 | 83 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 11 | |
| 20 | 13 |
About Kailash Chandra Ray
Kailash Chandra Ray is a scholar working on Signal Processing, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (18 papers), EEG and Brain-Computer Interfaces (15 papers) and Digital Filter Design and Implementation (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (521 citations), Cognitive Neuroscience (401 citations) and Signal Processing (171 citations). Kailash Chandra Ray has collaborated with scholars based in India, Norway and United States. Frequent co-authors include Sandeep Raj, Om Shankar, Anindya Sundar Dhar, Ayushi Priyam, Vikas Kumar, Tanuj Sharma, Arijit Mondal, Pauline C. Haddow, Indrajit Chakrabarti and Preetam Kumar. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.
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.