Aaron Vose

1.0k total citations
10 papers, 706 citations indexed

About

Aaron Vose is a scholar working on Computer Networks and Communications, Hardware and Architecture and Genetics. According to data from OpenAlex, Aaron Vose has authored 10 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Hardware and Architecture and 3 papers in Genetics. Recurrent topics in Aaron Vose's work include Parallel Computing and Optimization Techniques (3 papers), Genetic diversity and population structure (3 papers) and Plant and animal studies (2 papers). Aaron Vose is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Genetic diversity and population structure (3 papers) and Plant and animal studies (2 papers). Aaron Vose collaborates with scholars based in United States, Switzerland and Denmark. Aaron Vose's co-authors include Sergey Gavrilets, Walter Salzburger, Marta Barluenga, Axel Meyer, Katherine J. Evans, Matthew Norman, John Levesque, Misun Min, Matthew Otten and Paul Fischer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Ecology and Computer Physics Communications.

In The Last Decade

Aaron Vose

10 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aaron Vose United States	7	402	232	179	154	106	10	706
Dwueng-Chwuan Jhwueng Taiwan	7	251 0.6×	218 0.9×	156 0.9×	122 0.8×	319 3.0×	18	632
Katie E. Davis United Kingdom	14	239 0.6×	484 2.1×	169 0.9×	279 1.8×	346 3.3×	20	984
Edith R. Dempster South Africa	11	299 0.7×	286 1.2×	70 0.4×	183 1.2×	39 0.4×	51	724
Hang‐Kwang Luh United States	10	194 0.5×	313 1.3×	130 0.7×	313 2.0×	146 1.4×	14	781
Xavier Thibert‐Plante Canada	13	405 1.0×	319 1.4×	312 1.7×	266 1.7×	25 0.2×	18	764
Todd L. Parsons United States	13	498 1.2×	173 0.7×	102 0.6×	85 0.6×	184 1.7×	19	870
Travis J. Hagey United States	7	259 0.6×	261 1.1×	184 1.0×	183 1.2×	207 2.0×	14	659
Cris C. Ledón-Rettig United States	7	316 0.8×	348 1.5×	68 0.4×	172 1.1×	33 0.3×	11	707
Suzanne Estes United States	18	708 1.8×	298 1.3×	76 0.4×	189 1.2×	117 1.1×	33	1.2k
Laurence M. Cook United Kingdom	20	386 1.0×	502 2.2×	221 1.2×	330 2.1×	51 0.5×	52	1.1k

Countries citing papers authored by Aaron Vose

Since Specialization

Citations

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

Fields of papers citing papers by Aaron Vose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron Vose. 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 Aaron Vose. The network helps show where Aaron Vose may publish in the future.

Co-authorship network of co-authors of Aaron Vose

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Lavin, Patrick, Jeffrey Young, Richard Vuduc, et al.. (2020). Evaluating Gather and Scatter Performance on CPUs and GPUs. 209–222. 2 indexed citations

2.

Levesque, John & Aaron Vose. (2017). Programming for Hybrid Multi/Manycore MPP Systems. 6 indexed citations

3.

Kjærgaard, Thomas, Pablo Baudin, Dmytro Bykov, et al.. (2016). Massively parallel and linear-scaling algorithm for second-order Møller–Plesset perturbation theory applied to the study of supramolecular wires. Computer Physics Communications. 212. 152–160. 16 indexed citations

4.

Otten, Matthew, Jing Gong, Azamat Mametjanov, et al.. (2016). An MPI/OpenACC implementation of a high-order electromagnetics solver with GPUDirect communication. The International Journal of High Performance Computing Applications. 30(3). 320–334. 18 indexed citations

5.

DeRose, Luiz, et al.. (2015). Relative debugging for a highly parallel hybrid computer system. RMIT Research Repository (RMIT University Library). 1–12. 2 indexed citations

6.

Norman, Matthew, et al.. (2015). A case study of CUDA FORTRAN and OpenACC for an atmospheric climate kernel. Journal of Computational Science. 9. 1–6. 34 indexed citations

7.

Gavrilets, Sergey, Aaron Vose, Marta Barluenga, Walter Salzburger, & Axel Meyer. (2007). Case studies and mathematical models of ecological speciation. 1. Cichlids in a crater lake. Molecular Ecology. 16(14). 2893–2909. 122 indexed citations

8.

Gavrilets, Sergey & Aaron Vose. (2007). Case studies and mathematical models of ecological speciation. 2. Palms on an oceanic island. Molecular Ecology. 16(14). 2910–2921. 108 indexed citations

9.

Gavrilets, Sergey & Aaron Vose. (2006). The dynamics of Machiavellian intelligence. Proceedings of the National Academy of Sciences. 103(45). 16823–16828. 59 indexed citations

10.

Gavrilets, Sergey & Aaron Vose. (2005). Dynamic patterns of adaptive radiation. Proceedings of the National Academy of Sciences. 102(50). 18040–18045. 339 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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