Wayne Pullan
Impact in
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
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- Vehicle Routing Optimization Methods
Papers in
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- Complexity and Algorithms in Graphs 8
- Computational Drug Discovery Methods 4
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- Metaheuristic Optimization Algorithms Research 6
- Machine Learning and Algorithms 5
- Co-authors
- Holger H. Hoos (1 shared paper)Andrea Grosso (1 shared paper)Marco Locatelli (1 shared paper)Mauro Brunato (1 shared paper)Franco Mascia (1 shared paper)Yaoqi Zhou (2 shared papers)Yuedong Yang (2 shared papers)Peter Brown (2 shared papers)
- Journals
- Journal of Heuristics (5 papers)Journal of Combinatorial Optimization (3 papers)Journal of Computational Chemistry (2 papers)Journal of Global Optimization (1 paper)Bioinformatics (1 paper)
- Partner nations
- AustraliaItalyUnited States
In The Last Decade
Wayne Pullan
30 papers receiving 599 citations
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 280
- Industrial and Manufacturing Engineering 111
- Computer Networks and Communications 225
- Artificial Intelligence 181
- Statistical and Nonlinear Physics 66
Countries citing papers authored by Wayne Pullan
This map shows the geographic impact of Wayne Pullan'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 Wayne Pullan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Pullan more than expected).
Fields of papers citing papers by Wayne Pullan
This network shows the impact of papers produced by Wayne Pullan. 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 Wayne Pullan. The network helps show where Wayne Pullan may publish in the future.
Co-authors
The 17 scholars most cited alongside Wayne Pullan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 104 | |
| 2 | 2007 | 63 | |
| 3 | 2007 | 52 | |
| 4 | 2006 | 44 | |
| 5 | 1997 | 41 | |
| 6 | 2010 | 37 | |
| 7 | 2015 | 37 | |
| 8 | 1997 | 36 | |
| 9 | 2009 | 34 | |
| 10 | 2005 | 31 | |
| 11 | 1997 | 25 | |
| 12 | 2004 | 23 | |
| 13 | 2008 | 21 | |
| 14 | 2015 | 19 | |
| 15 | 2013 | 8 | |
| 16 | 2008 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2005 | 6 | |
| 19 | 2002 | 4 | |
| 20 | 2020 | 4 |
About Wayne Pullan
Wayne Pullan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Materials Chemistry and Molecular Biology, having authored 30 papers that have together received 623 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (8 papers), Optimization and Search Problems (7 papers), Metaheuristic Optimization Algorithms Research (6 papers), Machine Learning and Algorithms (5 papers), Computational Drug Discovery Methods (4 papers), Vehicle Routing Optimization Methods (4 papers), Machine Learning in Materials Science (4 papers) and Facility Location and Emergency Management (3 papers). The work is most often cited by research in Computational Theory and Mathematics (280 citations), Industrial and Manufacturing Engineering (111 citations), Computer Networks and Communications (225 citations), Artificial Intelligence (181 citations) and Statistical and Nonlinear Physics (66 citations). Wayne Pullan has collaborated with scholars based in Australia, Italy and United States. Frequent co-authors include Holger H. Hoos, Andrea Grosso, Marco Locatelli, Mauro Brunato, Franco Mascia, Yaoqi Zhou, Yuedong Yang, Peter Brown, Alan Wee‐Chung Liew and Steve Drew. Their work appears in journals such as Journal of Heuristics, Journal of Combinatorial Optimization, Journal of Computational Chemistry, Journal of Global Optimization and Bioinformatics.
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.