William Chivers

441 total citations
25 papers, 283 citations indexed

About

William Chivers is a scholar working on Information Systems, Computer Networks and Communications and Ecology. According to data from OpenAlex, William Chivers has authored 25 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 9 papers in Computer Networks and Communications and 5 papers in Ecology. Recurrent topics in William Chivers's work include Distributed and Parallel Computing Systems (7 papers), Software Engineering Research (5 papers) and Parallel Computing and Optimization Techniques (5 papers). William Chivers is often cited by papers focused on Distributed and Parallel Computing Systems (7 papers), Software Engineering Research (5 papers) and Parallel Computing and Optimization Techniques (5 papers). William Chivers collaborates with scholars based in Australia, Indonesia and United Kingdom. William Chivers's co-authors include Graeme C. Hays, Anthony W. Walne, Norma P. Simon, Oscar Karnalim, Timothy Lynar, Jacques‐Olivier Laloë, Nicole Esteban, Heidi R. Thornton, Brendan R. Scott and Martin Edwards and has published in prestigious journals such as Nature Communications, Global Change Biology and Journal of Theoretical Biology.

In The Last Decade

William Chivers

23 papers receiving 275 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William Chivers Australia 10 85 71 61 55 44 25 283
Michael Hatfield United States 6 184 2.2× 11 0.2× 31 0.5× 8 0.1× 39 0.9× 34 351
Michael Baron United States 5 74 0.9× 33 0.5× 34 0.6× 21 0.4× 33 0.8× 13 390
Jeffrey Ellen United States 7 63 0.7× 102 1.4× 43 0.7× 30 0.5× 24 0.5× 15 268
Moritz Lürig Switzerland 10 98 1.2× 30 0.4× 41 0.7× 8 0.1× 44 1.0× 15 269
Mathew Wyatt Australia 9 163 1.9× 58 0.8× 82 1.3× 7 0.1× 41 0.9× 16 267
David P. Wilkinson Australia 7 101 1.2× 31 0.4× 28 0.5× 10 0.2× 72 1.6× 16 199
Aji John United States 7 55 0.6× 9 0.1× 33 0.5× 17 0.3× 25 0.6× 15 156
Yoo-Won LEE South Korea 10 34 0.4× 21 0.3× 85 1.4× 38 0.7× 29 0.7× 79 310
Christoph Richter Canada 8 154 1.8× 73 1.0× 40 0.7× 8 0.1× 22 0.5× 15 329
Paul H. Patrick Canada 13 196 2.3× 28 0.4× 131 2.1× 31 0.6× 295 6.7× 43 514

Countries citing papers authored by William Chivers

Since Specialization
Citations

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

Fields of papers citing papers by William Chivers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Chivers

This figure shows the co-authorship network connecting the top 25 collaborators of William Chivers. A scholar is included among the top collaborators of William Chivers 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 Chivers. William Chivers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Karnalim, Oscar, Norma P. Simon, & William Chivers. (2023). Reporting less coincidental similarity to educate students about programming plagiarism and collusion. Computer Science Education. 34(3). 442–472. 3 indexed citations
2.
Karnalim, Oscar, Norma P. Simon, & William Chivers. (2022). Layered similarity detection for programming plagiarism and collusion on weekly assessments. Computer Applications in Engineering Education. 30(6). 1739–1752. 5 indexed citations
3.
Karnalim, Oscar, Norma P. Simon, & William Chivers. (2022). Work-In-Progress: Code Quality Issues of Computing Undergraduates. 2022 IEEE Global Engineering Education Conference (EDUCON). 1734–1736. 4 indexed citations
4.
Karnalim, Oscar, et al.. (2022). Educating Students about Programming Plagiarism and Collusion via Formative Feedback. ACM Transactions on Computing Education. 22(3). 1–31. 10 indexed citations
5.
Hays, Graeme C., William Chivers, Jacques‐Olivier Laloë, Charles Sheppard, & Nicole Esteban. (2021). Impact of marine heatwaves for sea turtle nest temperatures. Biology Letters. 17(5). 20210038–20210038. 17 indexed citations
6.
Laloë, Jacques‐Olivier, William Chivers, Nicole Esteban, & Graeme C. Hays. (2021). Reconstructing past thermal conditions in beach microclimates. Global Change Biology. 27(24). 6592–6601. 13 indexed citations
7.
Karnalim, Oscar, Norma P. Simon, & William Chivers. (2020). Preprocessing for Source Code Similarity Detection in Introductory Programming. 1–10. 8 indexed citations
8.
Chivers, William, Martin Edwards, & Graeme C. Hays. (2020). Phenological shuffling of major marine phytoplankton groups over the last six decades. Diversity and Distributions. 26(5). 536–548. 15 indexed citations
9.
Chivers, William, Anthony W. Walne, & Graeme C. Hays. (2017). Mismatch between marine plankton range movements and the velocity of climate change. Nature Communications. 8(1). 14434–14434. 95 indexed citations
10.
Thornton, Heidi R., Jace A. Delaney, Grant M. Duthie, et al.. (2015). Predicting Self-Reported Illness for Professional Team-Sport Athletes. International Journal of Sports Physiology and Performance. 11(4). 543–550. 36 indexed citations
11.
Chivers, William, et al.. (2014). Predator–prey systems depend on a prey refuge. Journal of Theoretical Biology. 360. 271–278. 10 indexed citations
12.
13.
Lynar, Timothy, et al.. (2013). Reducing energy consumption in distributed computing through economic resource allocation. International Journal of Grid and Utility Computing. 4(4). 231–231. 9 indexed citations
14.
Chivers, William, et al.. (2010). Modelling service levels in a call centre with an agent-based model. World Review of Science Technology and Sustainable Development. 7(1/2). 2–2. 2 indexed citations
15.
Lynar, Timothy, et al.. (2010). Reducing grid energy consumption through choice of resource allocation method. 1–7. 4 indexed citations
16.
Lynar, Timothy, et al.. (2009). Impact of node ranking on outcomes of grid resource allocation. NOVA (University of Newcastle, Australia). 17–22.
17.
Lynar, Timothy, et al.. (2009). A grid resource allocation mechanism for heterogeneous e-waste computers. 69–76. 2 indexed citations
18.
Lynar, Timothy, et al.. (2009). Implementing an agent based auction model on a cluster of reused workstations. International Journal of Computer Applications in Technology. 34(4). 230–230. 5 indexed citations
19.
Lynar, Timothy, et al.. (2009). Why decide: is a user's estimation of job completion time useful in grid resource allocation?. 1 indexed citations
20.
Lynar, Timothy, et al.. (2008). Implementing an agent based auction model on a cluster of re-used workstations. NOVA (University of Newcastle Australia). 1 indexed citations

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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