Floyd M. Nolle
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Co-authors
- J. R. CoxG.Charles OliverHarry A. FozzardR. Martin ArthurH.Dieter AmbosG WolffAlan J. TiefenbrunnRobert E. Kleiger
- Topics
- ECG Monitoring and Analysis (3 papers)Cardiac electrophysiology and arrhythmias (3 papers)EEG and Brain-Computer Interfaces (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- Proceedings of the IEEEThe American Journal of CardiologyIEEE Transactions on Biomedical Engineering
- Partner nations
- United States
In The Last Decade
Floyd M. Nolle
7 papers receiving 391 citations
Peers
Comparison fields: 5 of 54
- Cardiology and Cardiovascular Medicine 344
- Biomedical Engineering 163
- Signal Processing 159
- Computer Vision and Pattern Recognition 83
- Cognitive Neuroscience 66
Countries citing papers authored by Floyd M. Nolle
This map shows the geographic impact of Floyd M. Nolle'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 Floyd M. Nolle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Floyd M. Nolle more than expected).
Fields of papers citing papers by Floyd M. Nolle
This network shows the impact of papers produced by Floyd M. Nolle. 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 Floyd M. Nolle. The network helps show where Floyd M. Nolle may publish in the future.
Co-authorship network of co-authors of Floyd M. Nolle
This figure shows the co-authorship network connecting the top 25 collaborators of Floyd M. Nolle. A scholar is included among the top collaborators of Floyd M. Nolle 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 Floyd M. Nolle. Floyd M. Nolle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 26 | |
| 3 | Argus, a clinical computer system for monitoring electrocardiographic rhythms | 11 |
| 4 | 1 | |
| 5 | 85 | |
| 6 | 31 | |
| 7 | 270 |
About Floyd M. Nolle
Floyd M. Nolle is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Emergency Medicine, having authored 7 papers that have together received 431 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (344 citations), Signal Processing (159 citations) and Computer Vision and Pattern Recognition (83 citations). Floyd M. Nolle has collaborated with scholars based in United States. Frequent co-authors include J. R. Cox, G.Charles Oliver, Harry A. Fozzard, R. Martin Arthur, H.Dieter Ambos, G Wolff, Alan J. Tiefenbrunn, Robert E. Kleiger, Thomas F.J. Martin and J. Philip Miller. Their work appears in journals such as Proceedings of the IEEE, The American Journal of Cardiology and IEEE Transactions on Biomedical Engineering.
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.