David G. Foster

35 total papers · 480 total citations
20 papers, 292 citations indexed

About

David G. Foster is a scholar working on Computer Networks and Communications, Condensed Matter Physics and Information Systems and Management. According to data from OpenAlex, David G. Foster has authored 20 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 5 papers in Condensed Matter Physics and 4 papers in Information Systems and Management. Recurrent topics in David G. Foster's work include Distributed and Parallel Computing Systems (6 papers), Theoretical and Computational Physics (5 papers) and Scientific Computing and Data Management (4 papers). David G. Foster is often cited by papers focused on Distributed and Parallel Computing Systems (6 papers), Theoretical and Computational Physics (5 papers) and Scientific Computing and Data Management (4 papers). David G. Foster collaborates with scholars based in United States, Switzerland and Taiwan. David G. Foster's co-authors include Yonathan Shapir, Jacob Jorné, Michael R. King, Woojin M. Han, Subhadip Raychaudhuri, Wes Lloyd, Andrew Dickson White, Graham Marsh, Tamás Gaál and R.E. Hughes-Jones and has published in prestigious journals such as Physical Review Letters, ACS Nano and Journal of The Electrochemical Society.

In The Last Decade

David G. Foster

19 papers receiving 284 citations

Author Peers

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

Author						Papers	Cites
David G. Foster	68	57	50	46	44	20	292
N. Attig	20 0.3×	56 1.0×	16 0.3×	35 0.8×	45 1.0×	25	264
Ming‐Chya Wu	76 1.1×	82 1.4×	23 0.5×	89 1.9×	11 0.3×	29	319
C.S. Yang	12 0.2×	54 0.9×	58 1.2×	26 0.6×	74 1.7×	22	322
Chao‐Kun Cheng	57 0.8×	36 0.6×	12 0.2×	106 2.3×	25 0.6×	27	292
Jeffrey Kelling	100 1.5×	52 0.9×	41 0.8×	94 2.0×	55 1.3×	28	316
Noëlle Pottier	31 0.5×	42 0.7×	7 0.1×	24 0.5×	25 0.6×	17	287
Paul A. Tipler	17 0.3×	28 0.5×	45 0.9×	4 0.1×	10 0.2×	18	263
Paolo De Gregorio	103 1.5×	147 2.6×	9 0.2×	16 0.3×	10 0.2×	24	303
Cheng-Hung Chang	52 0.8×	52 0.9×	52 1.0×	24 0.5×	14 0.3×	33	281
Bohdan Balko	48 0.7×	41 0.7×	40 0.8×	55 1.2×	3 0.1×	30	285

Countries citing papers authored by David G. Foster

Since Specialization

Citations

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

Fields of papers citing papers by David G. Foster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Foster

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