John H. Drake

1.1k total citations
24 papers, 687 citations indexed

About

John H. Drake is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Management Science and Operations Research. According to data from OpenAlex, John H. Drake has authored 24 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Industrial and Manufacturing Engineering and 6 papers in Management Science and Operations Research. Recurrent topics in John H. Drake's work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (7 papers) and Scheduling and Timetabling Solutions (6 papers). John H. Drake is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (7 papers) and Scheduling and Timetabling Solutions (6 papers). John H. Drake collaborates with scholars based in United Kingdom, United States and China. John H. Drake's co-authors include Ender Özcan, Edmund Burke, Ahmed Kheiri, Taymaz Rahkar Farshi, Matthew Hyde, Khaled H. Ibrahim, Brenda Riske, John R. Woodward, Judith Baker and Kai Zhang and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and American Journal of Preventive Medicine.

In The Last Decade

John H. Drake

24 papers receiving 669 citations

Peers

John H. Drake

IME

CTM

MSOR

CNC

Ernesto Nunes United States

Adrian O’Hagan Ireland

Fernando Paredes Chile

Ana Sánchez Spain

Christos Voudouris United Kingdom

Ahmed Kheiri United Kingdom

Jonrinaldi Jonrinaldi Indonesia

Xiong Wang China

Pupong Pongcharoen Thailand

Jianfeng Qiu China

Ernesto Nunes United States

John H. Drake

151 ×0.5

IME

88 ×0.3

17 ×0.1

CTM

48 ×0.4

MSOR

212 ×2.8

CNC

Citations per year, relative to John H. Drake John H. Drake (= 1×) peers Ernesto Nunes

Countries citing papers authored by John H. Drake

Since Specialization

Citations

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

Fields of papers citing papers by John H. Drake

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Drake. 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 John H. Drake. The network helps show where John H. Drake may publish in the future.

Co-authorship network of co-authors of John H. Drake

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Drake. A scholar is included among the top collaborators of John H. Drake 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 John H. Drake. John H. Drake 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

Özcan, Ender, et al.. (2022). An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms. Information Sciences. 619. 153–171. 4 indexed citations

Farshi, Taymaz Rahkar, John H. Drake, & Ender Özcan. (2020). A multimodal particle swarm optimization-based approach for image segmentation. Expert Systems with Applications. 149. 113233–113233. 72 indexed citations

Drake, John H., Ahmed Kheiri, Ender Özcan, & Edmund Burke. (2019). Recent advances in selection hyper-heuristics. European Journal of Operational Research. 285(2). 405–428. 226 indexed citations

Malouin, Rebecca A., et al.. (2018). Impact of the 340B Pharmacy Program on Services and Supports for Persons Served by Hemophilia Treatment Centers in the United States. Maternal and Child Health Journal. 22(9). 1240–1246. 14 indexed citations

Drake, John H., et al.. (2017). A choice function hyper-heuristic framework for the allocation of maintenance tasks in Danish railways. Computers & Operations Research. 93. 15–26. 22 indexed citations

Drake, John H., et al.. (2017). A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming. Applied Soft Computing. 62. 162–175. 31 indexed citations

Li, Wenwen, Ender Özcan, Robert John, et al.. (2017). A modified indicator-based evolutionary algorithm (mIBEA). Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1047–1054. 13 indexed citations

Drake, John H., et al.. (2017). A hybrid Constraint Programming/Mixed Integer Programming framework for the preventive signaling maintenance crew scheduling problem. European Journal of Operational Research. 269(1). 341–352. 50 indexed citations

Drake, John H., et al.. (2016). Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic. Stirling Online Research Repository (University of Stirling). 725–732. 2 indexed citations

10.

Özcan, Ender, et al.. (2016). A self-adaptive Multimeme Memetic Algorithm co-evolving utility scores to control genetic operators and their parameter settings. Applied Soft Computing. 49. 81–93. 17 indexed citations

11.

Drake, John H., Ender Özcan, & Edmund Burke. (2015). A modified choice function hyper-heuristic controlling unary and binary operators. Nottingham ePrints (University of Nottingham). 3389–3396. 20 indexed citations

12.

Drake, John H., Ender Özcan, & Edmund Burke. (2015). A comparison of crossover control mechanisms within single-point selection hyper-heuristics using HyFlex. Nottingham ePrints (University of Nottingham). 7492. 3397–3403. 2 indexed citations

13.

Burke, Edmund, John H. Drake, Barry McCollum, & Ender Özcan. (2015). Comments on: An overview of curriculum-based course timetabling. Top. 23(2). 355–358. 3 indexed citations

14.

Drake, John H., Matthew Hyde, Khaled H. Ibrahim, & Ender Özcan. (2014). A genetic programming hyper-heuristic for the multidimensional knapsack problem. Kybernetes. 43(9/10). 1500–1511. 38 indexed citations

15.

Özcan, Ender, Kai Zhang, & John H. Drake. (2013). Bidirectional best-fit heuristic considering compound placement for two dimensional orthogonal rectangular strip packing. Expert Systems with Applications. 40(10). 4035–4043. 21 indexed citations

16.

Normoyle, Aline, John H. Drake, Maxim Likhachev, & Alla Safonova. (2012). Game-Based Data Capture for Player Metrics. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(1). 44–50. 5 indexed citations

17.

Baker, Judith, et al.. (2012). US Hemophilia Treatment Center population trends 1990–2010: patient diagnoses, demographics, health services utilization. Haemophilia. 19(1). 21–26. 40 indexed citations

18.

Drake, John H., et al.. (2011). Surveillance of Bleeding Disorders, Texas, 2007. American Journal of Preventive Medicine. 41(6). S354–S359. 3 indexed citations

19.

Drake, John H., et al.. (2010). High School Completion Rates Among Men with Hemophilia. American Journal of Preventive Medicine. 38(4). S489–S494. 16 indexed citations

20.

Cui, Yong, Neeraja B. Peterson, Margaret K. Hargreaves, et al.. (2007). Mammography Use in the Southern Community Cohort Study (United States). Journal of Health Care for the Poor and Underserved. 18(4). 102–117. 18 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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