David J. Palframan

538 citations
10 papers · 380 indexed · h-index 6
Topics
Radiation Effects in Electronics (6 papers)Parallel Computing and Optimization Techniques (6 papers)Low-power high-performance VLSI design (4 papers)
Journals
IEEE MicroACM SIGARCH Computer Architecture News
Partner nations
United States

In The Last Decade

David J. Palframan

10 papers receiving 372 citations

Peers

David J. Palframan
Comparison fields: 5 of 35
  • Computer Vision and Pattern Recognition 223
  • Electrical and Electronic Engineering 188
  • Artificial Intelligence 169
  • Hardware and Architecture 133
  • Computer Networks and Communications 83
Replace Jiecao Yu with:
Jiecao Yu United States
Jinhong Zhou China
Prasanth Chatarasi United States
Andrew Lukefahr United States
Zheng Qu United States
Wenyan Lü China
Shijun Gong China
Sheng-Chun Kao United States
Youngeun Kwon South Korea
Kevin Siu Canada
David J. Palframan relative to Jiecao Yu United States Jiecao Yu's profile →
Citations per field
00.5×4.3×
Jiecao Yu · 1×
Citations per year

Countries citing papers authored by David J. Palframan

Since Specialization
Citations

This map shows the geographic impact of David J. Palframan'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 J. Palframan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Palframan more than expected).

Fields of papers citing papers by David J. Palframan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Palframan. 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 J. Palframan. The network helps show where David J. Palframan may publish in the future.

Co-authorship network of co-authors of David J. Palframan

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Palframan. A scholar is included among the top collaborators of David J. Palframan 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 J. Palframan. David J. Palframan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About David J. Palframan

David J. Palframan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 10 papers that have together received 380 indexed citations. Recurring topics across this work include Radiation Effects in Electronics (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Low-power high-performance VLSI design (4 papers). The work is most often cited by research in Computational Mathematics (13 citations), Hardware and Architecture (133 citations) and Computer Vision and Pattern Recognition (223 citations). David J. Palframan has collaborated with scholars based in United States. Frequent co-authors include Scott Mahlke, Andrew Lukefahr, Ganesh Dasika, Reetuparna Das, Jiecao Yu, Mikko H. Lipasti and Nam Sung Kim. Their work appears in journals such as IEEE Micro and ACM SIGARCH Computer Architecture News.

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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