David Power
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Internal Medicine top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Valentı́n FusterRajeev SamtaniJohn P. MorrisonDavid SternheimSamin K. SharmaJames J. KennedyAnton CamajGeorge Dangas
- Topics
- Distributed and Parallel Computing Systems (17 papers)Coronary Interventions and Diagnostics (11 papers)Parallel Computing and Optimization Techniques (9 papers)
- Partner nations
- United StatesIrelandAustralia
In The Last Decade
David Power
43 papers receiving 603 citations
Peers
Comparison fields: 5 of 107
- Surgery 248
- Cardiology and Cardiovascular Medicine 199
- Pulmonary and Respiratory Medicine 140
- Internal Medicine 92
- Computer Networks and Communications 70
Countries citing papers authored by David Power
This map shows the geographic impact of David Power'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 David Power with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Power more than expected).
Fields of papers citing papers by David Power
This network shows the impact of papers produced by David Power. 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 David Power. The network helps show where David Power may publish in the future.
Co-authorship network of co-authors of David Power
This figure shows the co-authorship network connecting the top 25 collaborators of David Power. A scholar is included among the top collaborators of David Power 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 David Power. David Power 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 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 20 | |
| 8 | 21 | |
| 9 | 2 | |
| 10 | 48 | |
| 11 | 6 | |
| 12 | 118 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 79 | |
| 16 | Webcom-G: grid enabled metacomputing | 12 |
| 17 | Load Balancing and Fault Tolerance in a Condensed Graphs based Metacomputer | 6 |
| 18 | Nectere: A General Purpose Environment for Computing on Clusters, Grids and the Internet | 1 |
| 19 | Haemoglobin concentration and stroke risk in 13 000 patients with established cerebrovascular disease | 2 |
| 20 | A Condensed Graphs Engine to Drive Metacomputing. | 11 |
About David Power
David Power is a scholar working on Hardware and Architecture, Internal Medicine and Information Systems and Management, having authored 53 papers that have together received 635 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (17 papers), Coronary Interventions and Diagnostics (11 papers) and Parallel Computing and Optimization Techniques (9 papers). The work is most often cited by research in Internal Medicine (92 citations), Applied Psychology (67 citations) and Cardiology and Cardiovascular Medicine (199 citations). David Power has collaborated with scholars based in United States, Ireland and Australia. Frequent co-authors include Valentı́n Fuster, Rajeev Samtani, John P. Morrison, David Sternheim, Samin K. Sharma, James J. Kennedy, Anton Camaj, George Dangas, Roxana Mehran and Donagh Healy. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.