Koushik Ramadoss
- Materials Chemistry top 10%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials top 10%
- Signal Processing top 5%
- Co-authors
- V. KrishnaveniSundaresan JayaramanShriram RamanathanYou ZhouHua ZhouDillon D. FongXiaofei GuanHuajun Liu
- Topics
- EEG and Brain-Computer Interfaces (5 papers)Neural dynamics and brain function (4 papers)Blind Source Separation Techniques (4 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Koushik Ramadoss
14 papers receiving 830 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Materials Chemistry 392
- Cognitive Neuroscience 280
- Electrical and Electronic Engineering 260
- Electronic, Optical and Magnetic Materials 227
- Signal Processing 197
Countries citing papers authored by Koushik Ramadoss
This map shows the geographic impact of Koushik Ramadoss'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 Koushik Ramadoss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koushik Ramadoss more than expected).
Fields of papers citing papers by Koushik Ramadoss
This network shows the impact of papers produced by Koushik Ramadoss. 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 Koushik Ramadoss. The network helps show where Koushik Ramadoss may publish in the future.
Co-authorship network of co-authors of Koushik Ramadoss
This figure shows the co-authorship network connecting the top 25 collaborators of Koushik Ramadoss. A scholar is included among the top collaborators of Koushik Ramadoss 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 Koushik Ramadoss. Koushik Ramadoss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 39 | |
| 3 | 22 | |
| 4 | 9 | |
| 5 | Strongly correlated perovskite fuel cellsbreakdown → | 439 |
| 6 | 36 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 125 | |
| 12 | Automatic Identification and Removal of Ocular Artifacts from EEG using Wavelet Transform | 132 |
| 13 | Comparison of Independent Component Analysis Algorithms for Removal of Ocular Artifacts from Electroencephalogram | 24 |
| 14 | 20 |
About Koushik Ramadoss
Koushik Ramadoss is a scholar working on Signal Processing, Internal Medicine and Cognitive Neuroscience, having authored 14 papers that have together received 864 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Neural dynamics and brain function (4 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Signal Processing (197 citations), Cognitive Neuroscience (280 citations) and Electronic, Optical and Magnetic Materials (227 citations). Koushik Ramadoss has collaborated with scholars based in United States, India and China. Frequent co-authors include V. Krishnaveni, Sundaresan Jayaraman, Shriram Ramanathan, You Zhou, Hua Zhou, Dillon D. Fong, Xiaofei Guan, Huajun Liu, Masaru Tsuchiya and Jian Shi. Their work appears in journals such as Nature, Nature Communications and Journal of Applied Physics.
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.