Nathan Ellingwood

549 total citations · 1 hit paper
6 papers, 265 citations indexed

About

Nathan Ellingwood is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nathan Ellingwood has authored 6 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nathan Ellingwood's work include Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (2 papers) and Interconnection Networks and Systems (2 papers). Nathan Ellingwood is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (2 papers) and Interconnection Networks and Systems (2 papers). Nathan Ellingwood collaborates with scholars based in United States, Switzerland and Taiwan. Nathan Ellingwood's co-authors include Sivasankaran Rajamanickam, Jeremiah J Wilke, Daniel Arndt, Jonathan Madsen, Vinh Dang, Evan Harvey, David Poliakoff, Bruno Turcksin, Jan Ciesko and Rahulkumar Gayatri and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Computer Methods and Programs in Biomedicine and Medical & Biological Engineering & Computing.

In The Last Decade

Nathan Ellingwood

6 papers receiving 253 citations

Hit Papers

Kokkos 3: Programming Mod... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan Ellingwood United States 5 106 96 35 26 26 6 265
Rahulkumar Gayatri United States 6 151 1.4× 141 1.5× 34 1.0× 28 1.1× 27 1.0× 16 344
David Poliakoff United States 3 121 1.1× 112 1.2× 41 1.2× 36 1.4× 31 1.2× 5 287
Jonathan Madsen United States 5 129 1.2× 116 1.2× 40 1.1× 36 1.4× 33 1.3× 8 299
Jan Ciesko United States 3 114 1.1× 100 1.0× 31 0.9× 26 1.0× 26 1.0× 13 244
Evan Harvey United States 1 99 0.9× 90 0.9× 30 0.9× 26 1.0× 26 1.0× 2 226
Mikael Simberg Switzerland 3 138 1.3× 127 1.3× 32 0.9× 31 1.2× 31 1.2× 4 289
Tommy Minyard United States 9 52 0.5× 128 1.3× 39 1.1× 35 1.3× 36 1.4× 17 287
Daniel Ibanez United States 10 138 1.3× 143 1.5× 136 3.9× 27 1.0× 32 1.2× 16 416
Holger Fröning Germany 10 202 1.9× 221 2.3× 23 0.7× 36 1.4× 10 0.4× 109 373
George Zagaris United States 8 61 0.6× 91 0.9× 53 1.5× 74 2.8× 21 0.8× 16 260

Countries citing papers authored by Nathan Ellingwood

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

6 of 6 papers shown
1.
Trott, Christian Robert, Damien Lebrun-Grandié, Daniel Arndt, et al.. (2021). Kokkos 3: Programming Model Extensions for the Exascale Era. IEEE Transactions on Parallel and Distributed Systems. 33(4). 805–817. 226 indexed citations breakdown →
2.
Olivier, Stephen L., Nathan Ellingwood, Jonathan W. Berry, & Daniel Dunlavy. (2021). Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 1 indexed citations
3.
Yamazaki, Ichitaro, Sivasankaran Rajamanickam, & Nathan Ellingwood. (2020). Performance Portable Supernode-based Sparse Triangular Solver for Manycore Architectures. 1–11. 4 indexed citations
4.
Haghighi, Babak, Nathan Ellingwood, Youbing Yin, Eric A. Hoffman, & Ching‐Long Lin. (2017). A GPU-based symmetric non-rigid image registration method in human lung. Medical & Biological Engineering & Computing. 56(3). 355–371. 10 indexed citations
5.
Ellingwood, Nathan, et al.. (2017). Basker: Parallel sparse LU factorization utilizing hierarchical parallelism and data layouts. Parallel Computing. 68. 17–31. 7 indexed citations
6.
Ellingwood, Nathan, et al.. (2016). Efficient methods for implementation of multi-level nonrigid mass-preserving image registration on GPUs and multi-threaded CPUs. Computer Methods and Programs in Biomedicine. 127. 290–300. 17 indexed citations

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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