Andrew Parkes

2.7k total citations
75 papers, 1.6k citations indexed

About

Andrew Parkes is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Andrew Parkes has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management Science and Operations Research, 23 papers in Computer Networks and Communications and 20 papers in Artificial Intelligence. Recurrent topics in Andrew Parkes's work include Scheduling and Timetabling Solutions (21 papers), Constraint Satisfaction and Optimization (19 papers) and Black Holes and Theoretical Physics (14 papers). Andrew Parkes is often cited by papers focused on Scheduling and Timetabling Solutions (21 papers), Constraint Satisfaction and Optimization (19 papers) and Black Holes and Theoretical Physics (14 papers). Andrew Parkes collaborates with scholars based in United Kingdom, United States and Mexico. Andrew Parkes's co-authors include P. West, Edmund Burke, Ender Özcan, Paul McMullan, Peter West, Barry McCollum, Olaf Lechtenfeld, Jakub Mareček, Hana Rudová and Rong Qu and has published in prestigious journals such as Nuclear Physics B, European Journal of Operational Research and Physics Letters B.

In The Last Decade

Andrew Parkes

72 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Parkes United Kingdom	23	664	507	443	366	354	75	1.6k
Neal E. Young United States	20	178 0.3×	34 0.1×	168 0.4×	358 1.0×	957 2.7×	65	1.9k
Juan A. Aledo Spain	18	114 0.2×	25 0.0×	74 0.2×	181 0.5×	65 0.2×	94	907
Giampietro Tecchiolli Italy	12	50 0.1×	44 0.1×	338 0.8×	399 1.1×	207 0.6×	26	1.0k
Peter Buchholz Germany	22	328 0.5×	63 0.1×	102 0.2×	242 0.7×	515 1.5×	153	1.9k
Christian Günther Germany	10	60 0.1×	24 0.0×	95 0.2×	172 0.5×	72 0.2×	28	675
Scott Vander Wiel United States	16	93 0.1×	27 0.1×	74 0.2×	132 0.4×	313 0.9×	51	1.2k
Gerald S. Shedler United States	19	471 0.7×	7 0.0×	62 0.1×	185 0.5×	378 1.1×	55	1.6k
A. M. Gago Peru	18	38 0.1×	441 0.9×	5 0.0×	267 0.7×	1.5k 4.3×	55	2.3k
Jörg Rambau Germany	13	74 0.1×	19 0.0×	151 0.3×	24 0.1×	66 0.2×	40	832
Lin F. Yang United States	14	104 0.2×	42 0.1×	9 0.0×	280 0.8×	80 0.2×	98	705

Countries citing papers authored by Andrew Parkes

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Parkes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Parkes

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

Parkes, Andrew, et al.. (2025). Practical aberration correction using deep transfer learning with limited experimental data. Optics Express. 33(6). 14431–14431.

Özcan, Ender, et al.. (2023). Multi-objective topology optimisation for acoustic porous materials using gradient-based, gradient-free, and hybrid strategies. The Journal of the Acoustical Society of America. 153(5). 2945–2955. 8 indexed citations

Özcan, Ender, et al.. (2021). Comparison of heuristics and metaheuristics for topology optimisation in acoustic porous materials. The Journal of the Acoustical Society of America. 150(4). 3164–3175. 12 indexed citations

Karapetyan, Daniel, Andrew Parkes, Gregory Gutin, & Andrei Gagarin. (2019). Pattern-Based Approach to the Workflow Satisfiability Problem with User-Independent Constraints. Repository@Nottingham (University of Nottingham). 10 indexed citations

Cui, Tianxiang, Ruibin Bai, Shusheng Ding, et al.. (2019). A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices. Soft Computing. 24(4). 2809–2831. 16 indexed citations

Asta, Shahriar, Ender Özcan, & Andrew Parkes. (2016). CHAMP: Creating heuristics via many parameters for online bin packing. Expert Systems with Applications. 63. 208–221. 21 indexed citations

Ortíz-Bayliss, José Carlos, Ender Özcan, Andrew Parkes, & Hugo Terashima‐Marín. (2010). Mapping the performance of heuristics for Constraint Satisfaction. 1–8. 14 indexed citations

Parkes, Andrew, Barry McCollum, Paul McMullan, & Edmund Burke. (2009). Recent Work on Planning and Management of University Teaching Space. 1 indexed citations

Burke, Edmund, et al.. (2008). Enrollment generators, clustering and chromatic numbers. Current Allergy and Asthma Reports. 7(5). 363–7. 2 indexed citations

10.

Burke, Edmund, et al.. (2007). Towards improving the utilization of university teaching space. Journal of the Operational Research Society. 60(1). 130–143. 32 indexed citations

11.

Burke, Edmund, et al.. (2006). Understanding the Role of UFOs Within Space Exploitation. 6 indexed citations

12.

Ginsberg, Matthew L., et al.. (2004). Implementing a generalized version of resolution. National Conference on Artificial Intelligence. 55–60. 5 indexed citations

13.

Ginsberg, Matthew L., et al.. (2004). Generalizing Boolean Satisfiability II: Theory. Journal of Artificial Intelligence Research. 22. 481–534. 15 indexed citations

14.

Parkes, Andrew. (2002). Easy predictions for the easy-hard-easy transition. National Conference on Artificial Intelligence. 688–694. 2 indexed citations

15.

Parkes, Andrew. (2001). Exploiting Solution Clusters for Coarse-Grained Distributed Search. 1 indexed citations

16.

Parkes, Andrew, et al.. (1999). Worldwide aeronautical route planner. National Conference on Artificial Intelligence. 916–917. 2 indexed citations

17.

Ginsberg, Matthew L., Andrew Parkes, & Amitabha Roy. (1998). Supermodels and robustness. National Conference on Artificial Intelligence. 334–339. 40 indexed citations

18.

Parkes, Andrew. (1997). Clustering at the phase transition. National Conference on Artificial Intelligence. 340–345. 37 indexed citations

19.

Parkes, Andrew, et al.. (1997). Inappropriate use of medications in the veteran community: how much do doctors and pharmacists contribute?. Australian and New Zealand Journal of Public Health. 21(5). 469–476. 14 indexed citations

20.

Parkes, Andrew, et al.. (1996). Tuning local search for satisfiability testing. National Conference on Artificial Intelligence. 356–362. 28 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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