Kenneth Rosen
- Cardiology and Cardiovascular Medicine top 5%
- Artificial Intelligence top 5%
- Surgery
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Samuel S. WagstaffChristopher R.C. WyndhamB. J. ScherlagN El-SherifRalph LazzaraSteven SwirynEric P. WidmaierBarbara D. Abbott
- Topics
- Cardiac Arrhythmias and Treatments (12 papers)Cardiovascular Syncope and Autonomic Disorders (6 papers)Cardiac electrophysiology and arrhythmias (6 papers)
- Cited by
- Theoretical Computer ScienceCardiology and Cardiovascular MedicineAlgebra and Number Theory
- Journals
- CirculationNeuronRadiology
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Kenneth Rosen
47 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cardiology and Cardiovascular Medicine 515
- Artificial Intelligence 213
- Surgery 152
- Computational Theory and Mathematics 149
- Computer Networks and Communications 128
Countries citing papers authored by Kenneth Rosen
This map shows the geographic impact of Kenneth Rosen'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 Kenneth Rosen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Rosen more than expected).
Fields of papers citing papers by Kenneth Rosen
This network shows the impact of papers produced by Kenneth Rosen. 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 Kenneth Rosen. The network helps show where Kenneth Rosen may publish in the future.
Co-authorship network of co-authors of Kenneth Rosen
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Rosen. A scholar is included among the top collaborators of Kenneth Rosen 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 Kenneth Rosen. Kenneth Rosen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 32 | |
| 3 | 45 | |
| 4 | Discrete mathematics and its applications (2nd ed.) | 20 |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 24 | |
| 10 | 45 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 39 | |
| 14 | Echocardiographic demonstration of porcine mitral valve vegetation and dehiscence. | 4 |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 4 | |
| 18 | 154 | |
| 19 | 3 | |
| 20 | 5 |
About Kenneth Rosen
Kenneth Rosen is a scholar working on Algebra and Number Theory, Cardiology and Cardiovascular Medicine and Discrete Mathematics and Combinatorics, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (12 papers), Cardiovascular Syncope and Autonomic Disorders (6 papers) and Cardiac electrophysiology and arrhythmias (6 papers). The work is most often cited by research in Theoretical Computer Science (37 citations), Cardiology and Cardiovascular Medicine (515 citations) and Algebra and Number Theory (77 citations). Kenneth Rosen has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Samuel S. Wagstaff, Christopher R.C. Wyndham, B. J. Scherlag, N El-Sherif, Ralph Lazzara, Steven Swiryn, Eric P. Widmaier, Barbara D. Abbott, Wilfred Lam and Kamala Krithivasan. Their work appears in journals such as Circulation, Neuron and Radiology.
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.