David Power

45 papers receiving 643 citations

Peers

David Power
Comparison fields: 5 of 103
  • Applied Psychology 66
  • Internal Medicine 40
  • Cardiology and Cardiovascular Medicine 167
  • Surgery 197
  • Pulmonary and Respiratory Medicine 131
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John Mandrola United States
Carlos H. Salvador Spain
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Ali Alshahrani Saudi Arabia
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Citations per year

Countries citing papers authored by David Power

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside David Power, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Power Line = papers co-authored together David Power links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021127
2 201195
3 201883
4 202153
5 202148
6 202240
7 202226
8 202222
9 200517
10 200115
11 201912
12
Webcom-G: grid enabled metacomputing
200412
13
Worldwide transplant center directory. Kidney-pancreas transplants.
199311
14 201910
15 20188
16 20067
17 20217
18
Load Balancing and Fault Tolerance in a Condensed Graphs based Metacomputer
20026
19 20216
20 20226

About David Power

David Power is a scholar working on Computer Networks and Communications, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Hardware and Architecture, having authored 55 papers that have together received 675 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (17 papers), Coronary Interventions and Diagnostics (11 papers), Parallel Computing and Optimization Techniques (9 papers), Scientific Computing and Data Management (7 papers), Acute Myocardial Infarction Research (5 papers), Cloud Computing and Resource Management (4 papers), Dialysis and Renal Disease Management (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). The work is most often cited by research in Applied Psychology (66 citations), Internal Medicine (40 citations), Cardiology and Cardiovascular Medicine (167 citations), Surgery (197 citations) and Pulmonary and Respiratory Medicine (131 citations). David Power has collaborated with scholars based in United States, Ireland and Australia. Frequent co-authors include Valentı́n Fuster, Rajeev Samtani, Samin K. Sharma, John P. Morrison, A Kini, David Sternheim, Anton Camaj, James J. Kennedy, George Dangas and Brian J. Manning. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Cardiology, JACC: Cardiovascular Interventions, European Heart Journal - Cardiovascular Pharmacotherapy and Catheterization and Cardiovascular Interventions.

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.

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