K.M. Ropella
- Cognitive Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Co-authors
- Alan V. SahakianAnthony G. HudetzJeffrey M. BaermanSteven SwirynEdgar A. DeYoeJ. D. WoodOlga A. ImasZiad S. Saad
- Topics
- ECG Monitoring and Analysis (31 papers)Cardiac electrophysiology and arrhythmias (28 papers)EEG and Brain-Computer Interfaces (12 papers)
- Cited by
- Cognitive NeuroscienceCardiology and Cardiovascular MedicineAnesthesiology and Pain Medicine
- Partner nations
- United StatesPhilippinesBrazil
In The Last Decade
K.M. Ropella
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 820
- Cardiology and Cardiovascular Medicine 515
- Radiology, Nuclear Medicine and Imaging 218
- Cellular and Molecular Neuroscience 201
- Biomedical Engineering 95
Countries citing papers authored by K.M. Ropella
This map shows the geographic impact of K.M. Ropella'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 K.M. Ropella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.M. Ropella more than expected).
Fields of papers citing papers by K.M. Ropella
This network shows the impact of papers produced by K.M. Ropella. 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 K.M. Ropella. The network helps show where K.M. Ropella may publish in the future.
Co-authorship network of co-authors of K.M. Ropella
This figure shows the co-authorship network connecting the top 25 collaborators of K.M. Ropella. A scholar is included among the top collaborators of K.M. Ropella 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 K.M. Ropella. K.M. Ropella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 29 | |
| 3 | 3 | |
| 4 | 62 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 142 | |
| 8 | 52 | |
| 9 | 14 | |
| 10 | 8 | |
| 11 | 130 | |
| 12 | 42 | |
| 13 | 11 | |
| 14 | 24 | |
| 15 | 8 | |
| 16 | 138 | |
| 17 | 1 | |
| 18 | 35 | |
| 19 | 16 | |
| 20 | 7 |
About K.M. Ropella
K.M. Ropella is a scholar working on Medical Laboratory Technology, Cardiology and Cardiovascular Medicine and Architecture, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (31 papers), Cardiac electrophysiology and arrhythmias (28 papers) and EEG and Brain-Computer Interfaces (12 papers). The work is most often cited by research in Cognitive Neuroscience (820 citations), Cardiology and Cardiovascular Medicine (515 citations) and Anesthesiology and Pain Medicine (90 citations). K.M. Ropella has collaborated with scholars based in United States, Philippines and Brazil. Frequent co-authors include Alan V. Sahakian, Anthony G. Hudetz, Jeffrey M. Baerman, Steven Swiryn, Edgar A. DeYoe, J. D. Wood, Olga A. Imas, Ziad S. Saad, B. Douglas Ward and Robert W. Cox. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and NeuroImage.
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.