Nathan Ellingwood
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Computational Mechanics
- Astronomy and Astrophysics
- Nuclear and High Energy Physics
- Co-authors
- Sivasankaran RajamanickamRahulkumar GayatriAmy PowellDaniel IbanezJeff MilesMikael SimbergBruno TurcksinJeremiah J Wilke
- Topics
- Parallel Computing and Optimization Techniques (4 papers)Distributed and Parallel Computing Systems (2 papers)Interconnection Networks and Systems (2 papers)
- Journals
- IEEE Transactions on Parallel and Distributed SystemsComputer Methods and Programs in BiomedicineMedical & Biological Engineering & Computing
- Partner nations
- United StatesSwitzerlandTaiwan
In The Last Decade
Nathan Ellingwood
6 papers receiving 253 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Hardware and Architecture 106
- Computer Networks and Communications 96
- Computational Mechanics 35
- Astronomy and Astrophysics 26
- Nuclear and High Energy Physics 26
Countries citing papers authored by Nathan Ellingwood
This map shows the geographic impact of Nathan Ellingwood'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 Nathan Ellingwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Ellingwood more than expected).
Fields of papers citing papers by Nathan Ellingwood
This network shows the impact of papers produced by Nathan Ellingwood. 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 Nathan Ellingwood. The network helps show where Nathan Ellingwood may publish in the future.
Co-authorship network of co-authors of Nathan Ellingwood
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Ellingwood. A scholar is included among the top collaborators of Nathan Ellingwood 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 Nathan Ellingwood. Nathan Ellingwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Kokkos 3: Programming Model Extensions for the Exascale Erabreakdown → | 226 |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 17 |
About Nathan Ellingwood
Nathan Ellingwood is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 6 papers that have together received 265 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Hardware and Architecture (106 citations), Computational Mathematics (3 citations) and Computer Networks and Communications (96 citations). Nathan Ellingwood has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Sivasankaran Rajamanickam, Rahulkumar Gayatri, Amy Powell, Daniel Ibanez, Jeff Miles, Mikael Simberg, Bruno Turcksin, Jeremiah J Wilke, David Poliakoff and Damien Lebrun-Grandié. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Computer Methods and Programs in Biomedicine and Medical & Biological Engineering & Computing.
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.