Wayne Pullan

944 total citations
30 papers, 615 citations indexed

About

Wayne Pullan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Wayne Pullan has authored 30 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 13 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Wayne Pullan's work include Complexity and Algorithms in Graphs (8 papers), Optimization and Search Problems (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Wayne Pullan is often cited by papers focused on Complexity and Algorithms in Graphs (8 papers), Optimization and Search Problems (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Wayne Pullan collaborates with scholars based in Australia, Italy and New Zealand. Wayne Pullan's co-authors include Holger H. Hoos, Andrea Grosso, Marco Locatelli, Franco Mascia, Mauro Brunato, Peter Brown, Yuedong Yang, Yaoqi Zhou, Alan Wee‐Chung Liew and Steve Drew and has published in prestigious journals such as Bioinformatics, IEEE Access and Journal of Computational Chemistry.

In The Last Decade

Wayne Pullan

30 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wayne Pullan Australia	14	278	224	181	111	76	30	615
Johannes J. Schneider Germany	14	86 0.3×	86 0.4×	169 0.9×	349 3.1×	35 0.5×	35	695
Piotr Sankowski Poland	15	409 1.5×	299 1.3×	135 0.7×	19 0.2×	93 1.2×	78	832
Thore Husfeldt Denmark	12	497 1.8×	198 0.9×	194 1.1×	34 0.3×	26 0.3×	42	708
Janez Žerovnik Slovenia	18	601 2.2×	294 1.3×	89 0.5×	71 0.6×	7 0.1×	145	1.0k
Adolfo Piperno Italy	8	360 1.3×	127 0.6×	318 1.8×	26 0.2×	33 0.4×	23	861
Andreas Björklund Sweden	12	497 1.8×	187 0.8×	125 0.7×	31 0.3×	25 0.3×	35	668
Marcin Pilipczuk Poland	15	1.2k 4.4×	464 2.1×	196 1.1×	95 0.9×	5 0.1×	102	1.5k
Victor Chepoi France	20	987 3.6×	233 1.0×	70 0.4×	31 0.3×	4 0.1×	108	1.3k
Tomohiro Sonobe Japan	6	119 0.4×	96 0.4×	756 4.2×	22 0.2×	133 1.8×	6	919
Dana Randall United States	14	160 0.6×	120 0.5×	143 0.8×	10 0.1×	11 0.1×	57	706

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-authorship network of co-authors of Wayne Pullan

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

All Works

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20 of 20 papers shown

Pullan, Wayne, et al.. (2021). Graphics processing unit acceleration of the island model genetic algorithm using the CUDA programming platform. Concurrency and Computation Practice and Experience. 34(2). 7 indexed citations

Pullan, Wayne. (2020). Local search for the maximum k-plex problem. Journal of Heuristics. 27(3). 303–324. 4 indexed citations

Brown, Peter, Wayne Pullan, Yuedong Yang, & Yaoqi Zhou. (2015). Fast and accurate non-sequential protein structure alignment using a new asymmetric linear sum assignment heuristic. Bioinformatics. 32(3). 370–377. 18 indexed citations

Brown, Peter, Yuedong Yang, Yaoqi Zhou, & Wayne Pullan. (2015). A heuristic for the time constrained asymmetric linear sum assignment problem. Journal of Combinatorial Optimization. 33(2). 551–566. 3 indexed citations

Pullan, Wayne, et al.. (2013). A Problem Based Approach to Teaching Programming. Griffith Research Online (Griffith University, Queensland, Australia). 1–6. 2 indexed citations

Pullan, Wayne, et al.. (2013). A Review of PMS Treatment Selection Techniques with Comparative Analysis with QTMR Technique. Advanced materials research. 723. 769–781. 1 indexed citations

Pullan, Wayne. (2010). Unbiased geometry optimisation of Morse atomic clusters. Griffith Research Online (Griffith University, Queensland, Australia). 1–7. 2 indexed citations

Pullan, Wayne, Franco Mascia, & Mauro Brunato. (2010). Cooperating local search for the maximum clique problem. Journal of Heuristics. 17(2). 181–199. 37 indexed citations

Pullan, Wayne. (2009). Optimisation of unweighted/weighted maximum independent sets and minimum vertex covers. Discrete Optimization. 6(2). 214–219. 34 indexed citations

10.

Pullan, Wayne. (2009). A population based hybrid meta-heuristic for the uncapacitated facility location problem. 475–482. 1 indexed citations

11.

Pullan, Wayne. (2008). A population based hybrid metaheuristic for the p-median problem. Griffith Research Online (Griffith University, Queensland, Australia). 220. 75–82. 8 indexed citations

12.

Pullan, Wayne. (2007). Approximating the maximum vertex/edge weighted clique using local search. Journal of Heuristics. 14(2). 117–134. 52 indexed citations

13.

Pullan, Wayne. (2006). Phased local search for the maximum clique problem. Journal of Combinatorial Optimization. 12(3). 303–323. 44 indexed citations

14.

Pullan, Wayne. (2005). An unbiased population‐based search for the geometry optimization of Lennard–Jones clusters: 2 ≤ N ≤ 372. Journal of Computational Chemistry. 26(9). 899–906. 31 indexed citations

15.

Baritompa, W. P., Mirjam Dür, E.M.T. Hendrix, et al.. (2005). Matching Stochastic Algorithms to Objective Function Landscapes. Journal of Global Optimization. 31(4). 579–598. 6 indexed citations

16.

Pullan, Wayne, et al.. (2002). Development of an undergraduate software engineering degree. 24. 111–117. 4 indexed citations

17.

Pullan, Wayne. (1998). Genetic operators for a two-dimensional bonded molecular model. Computers & Chemistry. 22(4). 331–338. 1 indexed citations

18.

Pullan, Wayne. (1997). Structure Prediction of Benzene Clusters Using a Genetic Algorithm. Journal of Chemical Information and Computer Sciences. 37(6). 1189–1193. 35 indexed citations

19.

Pullan, Wayne. (1997). Genetic operators for the atomic cluster problem. Computer Physics Communications. 107(1-3). 137–148. 25 indexed citations

20.

Pullan, Wayne. (1996). A Direct Search Method Applied to a Molecular Structure Problem.. Australian Computer Journal. 28. 113–120. 2 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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