Wayne Pullan

967 citations
37 papers · 759 · h-index 15

Impact in

Papers in

Wayne Pullan

36 papers receiving 731 citations

Peers

Wayne Pullan
Comparison fields: 5 of 101
  • Computational Theory and Mathematics 328
  • Industrial and Manufacturing Engineering 129
  • Computer Networks and Communications 267
  • Artificial Intelligence 226
  • Statistical and Nonlinear Physics 75
Replace Johannes Josef Schneider with:
Johannes Josef Schneider Germany
Piotr Sankowski Poland
Xiangjing Lai China
Samuel Fiorini Belgium
Janez Žerovnik Slovenia
Sudhakar Muddu United States
Markus Bläser Germany
Elizna Burger South Africa
Armen S. Asratian Sweden
Anatole Beck United States
Wayne Pullan relative to Johannes Josef Schneider Germany Johannes Josef Schneider's profile →
Citations per field
00.5×2×3.2×
Johannes Josef Schneider · 1×
Citations per year

Countries citing papers authored by Wayne Pullan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 22 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.

Border = papers with Wayne Pullan Line = papers co-authored together Wayne Pullan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006123
2 200771
3 200765
4 200650
5 199744
6 201042
7 201541
8 199740
9 200938
10 200534
11 199728
12 200427
13 200827
14 201521
15 201921
16 200812
17 20139
18 20219
19 20058
20 20027

About Wayne Pullan

Wayne Pullan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Industrial and Manufacturing Engineering and Computer Science Applications, having authored 37 papers that have together received 759 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), Protein Structure and Dynamics (5 papers), Constraint Satisfaction and Optimization (5 papers), Machine Learning and Algorithms (5 papers), Computational Drug Discovery Methods (4 papers) and Vehicle Routing Optimization Methods (4 papers). The work is most often cited by research in Computational Theory and Mathematics (328 citations), Industrial and Manufacturing Engineering (129 citations), Computer Networks and Communications (267 citations), Artificial Intelligence (226 citations) and Statistical and Nonlinear Physics (75 citations). Wayne Pullan has collaborated with scholars based in Australia, Italy and Netherlands. Frequent co-authors include Holger H. Hoos, Marco Locatelli, Andrea Grosso, Mauro Brunato, Franco Mascia, Yaoqi Zhou, Yuedong Yang, Peter Brown, Steve Drew and Alan Wee‐Chung Liew. 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.

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