Andrew Davidson

27 total papers · 1.6k total citations
17 papers, 820 citations indexed

About

Andrew Davidson is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andrew Davidson has authored 17 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hardware and Architecture, 8 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andrew Davidson's work include Parallel Computing and Optimization Techniques (11 papers), Graph Theory and Algorithms (6 papers) and Computer Graphics and Visualization Techniques (5 papers). Andrew Davidson is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Graph Theory and Algorithms (6 papers) and Computer Graphics and Visualization Techniques (5 papers). Andrew Davidson collaborates with scholars based in United States, United Kingdom and Germany. Andrew Davidson's co-authors include John D. Owens, Yuechao Pan, Yangzihao Wang, Yuduo Wu, Michael Garland, Anjul Patney, Scott A. Mitchell, Mohamed S. Ebeida, Patrick Knupp and David Tarjan and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and Computer-Aided Design.

In The Last Decade

Andrew Davidson

17 papers receiving 790 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Andrew Davidson	504	292	260	241	158	17	820
Brandon Lloyd	192 0.4×	295 1.0×	116 0.4×	338 1.4×	104 0.7×	13	715
Hugh C. Lauer	298 0.6×	229 0.8×	200 0.8×	370 1.5×	310 2.0×	19	870
Duane Merrill	465 0.9×	555 1.9×	376 1.4×	542 2.2×	45 0.3×	20	1.0k
Patrick Hanrahan	539 1.1×	194 0.7×	85 0.3×	227 0.9×	127 0.8×	23	891
Fredrik Kjølstad	148 0.3×	489 1.7×	198 0.8×	281 1.2×	75 0.5×	34	729
Sean Ahern	427 0.8×	167 0.6×	60 0.2×	272 1.1×	317 2.0×	27	850
Feng Qiu	269 0.5×	147 0.5×	85 0.3×	211 0.9×	190 1.2×	36	831
Ganesh Ramanarayanan	300 0.6×	411 1.4×	90 0.3×	433 1.8×	166 1.1×	18	792
Berk Geveci	223 0.4×	112 0.4×	68 0.3×	308 1.3×	188 1.2×	37	919
Yao Zhang	122 0.2×	348 1.2×	123 0.5×	299 1.2×	33 0.2×	16	869

Countries citing papers authored by Andrew Davidson

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Davidson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Davidson

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

All Works

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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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