David Sheffield

16 total papers · 800 total citations
14 papers, 549 citations indexed

About

David Sheffield is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, David Sheffield has authored 14 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hardware and Architecture, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in David Sheffield's work include Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (4 papers) and Advanced Neural Network Applications (4 papers). David Sheffield is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (4 papers) and Advanced Neural Network Applications (4 papers). David Sheffield collaborates with scholars based in United States, United Kingdom and India. David Sheffield's co-authors include Eriko Nurvitadhi, Jaewoong Sim, Asit Mishra, Debbie Marr, Ganesh Venkatesh, Srivatsan Krishnan, Kurt Keutzer, Michael J. Anderson, Ralf-Christian Härting and William J. Dally and has published in prestigious journals such as Computer and ACM Transactions on Reconfigurable Technology and Systems.

In The Last Decade

David Sheffield

12 papers receiving 526 citations

Author Peers

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

Author						Papers	Cites
David Sheffield	235	212	197	172	146	14	549
Duncan J. M. Moss	268 1.1×	138 0.7×	214 1.1×	162 0.9×	100 0.7×	13	513
Xin Li	243 1.0×	110 0.5×	247 1.3×	242 1.4×	157 1.1×	21	611
Suchit Subhaschandra	237 1.0×	213 1.0×	222 1.1×	144 0.8×	171 1.2×	8	517
Thomas B. Preußer	199 0.8×	201 0.9×	147 0.7×	160 0.9×	111 0.8×	35	483
Andrew Boutros	272 1.2×	238 1.1×	176 0.9×	103 0.6×	98 0.7×	29	513
Amr T. Abdel-Hamid	160 0.7×	240 1.1×	111 0.6×	116 0.7×	78 0.5×	29	485
Hanqing Zeng	264 1.1×	196 0.9×	224 1.1×	222 1.3×	106 0.7×	22	538
Anju P. Johnson	294 1.3×	314 1.5×	99 0.5×	129 0.8×	161 1.1×	27	599
Nathan Otterness	92 0.4×	280 1.3×	118 0.6×	92 0.5×	200 1.4×	16	459
Alessandro Capotondi	173 0.7×	161 0.8×	140 0.7×	118 0.7×	149 1.0×	32	458

Countries citing papers authored by David Sheffield

Since Specialization

Citations

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

Fields of papers citing papers by David Sheffield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Sheffield

This figure shows the co-authorship network connecting the top 25 collaborators of David Sheffield. A scholar is included among the top collaborators of David Sheffield 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 Sheffield. David Sheffield 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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