Marianne Shaw

16 total papers · 1.2k total citations
12 papers, 795 citations indexed

About

Marianne Shaw is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Marianne Shaw has authored 12 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Marianne Shaw's work include Advanced Data Storage Technologies (5 papers), Security and Verification in Computing (4 papers) and Advanced Malware Detection Techniques (3 papers). Marianne Shaw is often cited by papers focused on Advanced Data Storage Technologies (5 papers), Security and Verification in Computing (4 papers) and Advanced Malware Detection Techniques (3 papers). Marianne Shaw collaborates with scholars based in United States. Marianne Shaw's co-authors include Andrew Whitaker, Steven D. Gribble, Jonathan M. Smith, Scott Nettles, Dan Suciu, James F. Brinkley, Landon T Detwiler and Natalya F. Noy and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Journal of Biomedical Informatics and ACM SIGOPS Operating Systems Review.

In The Last Decade

Marianne Shaw

12 papers receiving 697 citations

Author Peers

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

Author						Papers	Cites
Marianne Shaw	663	442	265	226	95	12	795
Theo Haerder	859 1.3×	292 0.7×	171 0.6×	144 0.6×	112 1.2×	4	959
Joe Armstrong	628 0.9×	243 0.5×	395 1.5×	427 1.9×	27 0.3×	19	994
Andy Georges	610 0.9×	393 0.9×	552 2.1×	341 1.5×	58 0.6×	22	942
Oren Laadan	668 1.0×	400 0.9×	352 1.3×	233 1.0×	162 1.7×	27	914
Howard E. Sturgis	520 0.8×	113 0.3×	146 0.6×	230 1.0×	44 0.5×	9	756
Ivan Krsul	739 1.1×	565 1.3×	163 0.6×	390 1.7×	334 3.5×	13	1.1k
Charles S. Kline	868 1.3×	238 0.5×	269 1.0×	230 1.0×	63 0.7×	16	970
Matthew Hertz	379 0.6×	237 0.5×	423 1.6×	331 1.5×	37 0.4×	26	713
Mark W. Krentel	446 0.7×	176 0.4×	321 1.2×	298 1.3×	30 0.3×	18	870
Harini Srinivasan	464 0.7×	203 0.5×	484 1.8×	285 1.3×	32 0.3×	24	766

Countries citing papers authored by Marianne Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Marianne Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianne Shaw

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