William Voorsluys

26 total papers · 1.1k total citations
15 papers, 469 citations indexed

About

William Voorsluys is a scholar working on Computer Networks and Communications, Geography, Planning and Development and Information Systems. According to data from OpenAlex, William Voorsluys has authored 15 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Geography, Planning and Development and 4 papers in Information Systems. Recurrent topics in William Voorsluys's work include Geographic Information Systems Studies (6 papers), Distributed and Parallel Computing Systems (6 papers) and Scientific Computing and Data Management (4 papers). William Voorsluys is often cited by papers focused on Geographic Information Systems Studies (6 papers), Distributed and Parallel Computing Systems (6 papers) and Scientific Computing and Data Management (4 papers). William Voorsluys collaborates with scholars based in Australia and Brazil. William Voorsluys's co-authors include Rajkumar Buyya, Suraj Pandey, Ahsan H. Khandoker, Sheng Niu, Richard Sinnott, Walfredo Cirne, Luís F. W. Góes, Francisco Brasileiro, Martin Tomko and Robert J. Stimson and has published in prestigious journals such as Future Generation Computer Systems, Parallel Computing and Journal of Grid Computing.

In The Last Decade

William Voorsluys

15 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
William Voorsluys	284	235	60	54	48	15	469
Changqing Ji	183 0.6×	195 0.8×	27 0.5×	127 2.4×	93 1.9×	26	464
Jorge Gómez Gómez	189 0.7×	136 0.6×	11 0.2×	57 1.1×	79 1.6×	31	444
Long Guo	107 0.4×	123 0.5×	7 0.1×	175 3.2×	42 0.9×	29	500
Reza Sahandi	161 0.6×	249 1.1×	78 1.3×	71 1.3×	18 0.4×	25	446
Sandra Heiler	380 1.3×	152 0.6×	19 0.3×	217 4.0×	32 0.7×	21	513
S. Bharathi	417 1.5×	179 0.8×	229 3.8×	50 0.9×	10 0.2×	25	510
Rick Kennell	279 1.0×	222 0.9×	151 2.5×	132 2.4×	14 0.3×	10	473
Alex Kuo	137 0.5×	179 0.8×	40 0.7×	58 1.1×	41 0.9×	14	409
Cartik R. Kothari	89 0.3×	105 0.4×	15 0.3×	191 3.5×	44 0.9×	18	463
Loredana Caruccio	113 0.4×	177 0.8×	18 0.3×	282 5.2×	73 1.5×	35	504

Countries citing papers authored by William Voorsluys

Since Specialization

Citations

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

Fields of papers citing papers by William Voorsluys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Voorsluys

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