Catherine Jayapandian
- Cognitive Neuroscience top 10%
- Physiology
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Satya S. SahooGuo‐Qiang ZhangLicong CuiAry L. GoldbergerDaniel MobleySusan SurovecMatthew KimRemo Mueller
- Topics
- EEG and Brain-Computer Interfaces (5 papers)Biomedical Text Mining and Ontologies (3 papers)Time Series Analysis and Forecasting (2 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Catherine Jayapandian
10 papers receiving 413 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 136
- Physiology 118
- Experimental and Cognitive Psychology 92
- Artificial Intelligence 84
- Molecular Biology 81
Countries citing papers authored by Catherine Jayapandian
This map shows the geographic impact of Catherine Jayapandian'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 Catherine Jayapandian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Jayapandian more than expected).
Fields of papers citing papers by Catherine Jayapandian
This network shows the impact of papers produced by Catherine Jayapandian. 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 Catherine Jayapandian. The network helps show where Catherine Jayapandian may publish in the future.
Co-authorship network of co-authors of Catherine Jayapandian
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Jayapandian. A scholar is included among the top collaborators of Catherine Jayapandian 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 Catherine Jayapandian. Catherine Jayapandian 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 | 32 | |
| 3 | 224 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | Cloudwave: A Cloud Computing Framework for Multimodal Electrophysiological Big Data | 4 |
| 7 | 46 | |
| 8 | 61 | |
| 9 | Electrophysiological signal analysis and visualization using Cloudwave for epilepsy clinical research. | 11 |
| 10 | Cloudwave: distributed processing of "big data" from electrophysiological recordings for epilepsy clinical research using Hadoop. | 14 |
| 11 | 13 |
About Catherine Jayapandian
Catherine Jayapandian is a scholar working on Cognitive Neuroscience, Signal Processing and Information Systems and Management, having authored 11 papers that have together received 417 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (53 citations), Experimental and Cognitive Psychology (92 citations) and Cognitive Neuroscience (136 citations). Catherine Jayapandian has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Satya S. Sahoo, Guo‐Qiang Zhang, Licong Cui, Ary L. Goldberger, Daniel Mobley, Susan Surovec, Matthew Kim, Remo Mueller, Michael Rueschman and Dennis A. Dean. Their work appears in journals such as SLEEP, The Journal of Pathology and Journal of the American Medical Informatics Association.
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.