R. Williams

55 total papers · 6.7k total citations
5 papers, 164 citations indexed

About

R. Williams is a scholar working on Computer Networks and Communications, Oceanography and Artificial Intelligence. According to data from OpenAlex, R. Williams has authored 5 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 2 papers in Oceanography and 2 papers in Artificial Intelligence. Recurrent topics in R. Williams's work include Distributed and Parallel Computing Systems (3 papers), Geophysics and Gravity Measurements (2 papers) and Magnetic confinement fusion research (1 paper). R. Williams is often cited by papers focused on Distributed and Parallel Computing Systems (3 papers), Geophysics and Gravity Measurements (2 papers) and Magnetic confinement fusion research (1 paper). R. Williams collaborates with scholars based in United States, France and United Kingdom. R. Williams's co-authors include A. J. Weinstein, Branson C. Stephens, Michele Vallisneri, J. B. Kanner, Szabolcs Márka, Alexander S. Szalay, David Walker, Omer Rana, R. J. Hanisch and Yanyan Yang and has published in prestigious journals such as Classical and Quantum Gravity, Journal of Physics Conference Series and CaltechAUTHORS (California Institute of Technology).

In The Last Decade

R. Williams

4 papers receiving 162 citations

Author Peers

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

Author						Papers	Cites
R. Williams	149	36	30	24	10	5	164
Qi Chu	134 0.9×	29 0.8×	20 0.7×	26 1.1×	19 1.9×	10	156
S. Bagnasco	206 1.4×	32 0.9×	46 1.5×	26 1.1×	3 0.3×	4	212
Duncan Meacher	147 1.0×	25 0.7×	29 1.0×	21 0.9×		6	149
R. Sturani	179 1.2×	27 0.8×	41 1.4×	24 1.0×		4	181
B. Machenschalk	102 0.7×	26 0.7×	41 1.4×	25 1.0×		5	104
I. Yakushin	109 0.7×	29 0.8×	18 0.6×	19 0.8×		8	123
Duncan Meacher	191 1.3×	23 0.6×	27 0.9×	22 0.9×		5	193
S. D. Reyes	217 1.5×	59 1.6×	31 1.0×	31 1.3×		5	230
X. Siemens	153 1.0×	22 0.6×	59 2.0×	29 1.2×	1 0.1×	7	157
R. M. Magee	148 1.0×	22 0.6×	41 1.4×	14 0.6×		10	157

Countries citing papers authored by R. Williams

Since Specialization

Citations

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

Fields of papers citing papers by R. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Williams

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