Rhyd Lewis

1.9k total citations
47 papers, 1.1k citations indexed

About

Rhyd Lewis is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Rhyd Lewis has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Industrial and Manufacturing Engineering, 22 papers in Management Science and Operations Research and 11 papers in Computer Networks and Communications. Recurrent topics in Rhyd Lewis's work include Scheduling and Timetabling Solutions (22 papers), Vehicle Routing Optimization Methods (21 papers) and Constraint Satisfaction and Optimization (9 papers). Rhyd Lewis is often cited by papers focused on Scheduling and Timetabling Solutions (22 papers), Vehicle Routing Optimization Methods (21 papers) and Constraint Satisfaction and Optimization (9 papers). Rhyd Lewis collaborates with scholars based in United Kingdom, Australia and Italy. Rhyd Lewis's co-authors include Ben Paechter, Jonathan Thompson, Kate Smith‐Miles, Davaatseren Baatar, Barry McCollum, Paul McMullan, Luca Di Gaspero, Edmund Burke, Rong Qu and Andrew Parkes and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Rhyd Lewis

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rhyd Lewis United Kingdom 16 643 553 305 287 168 47 1.1k
Stefan E. Karisch Austria 9 155 0.2× 635 1.1× 200 0.7× 309 1.1× 286 1.7× 11 1.1k
Chin Soon Chong Singapore 15 98 0.2× 663 1.2× 165 0.5× 390 1.4× 96 0.6× 30 1.0k
Peter Merz Germany 13 66 0.1× 275 0.5× 205 0.7× 506 1.8× 262 1.6× 32 882
Joel Wein United States 19 125 0.2× 918 1.7× 1.2k 4.0× 89 0.3× 191 1.1× 40 1.6k
Hyeong Soo Chang South Korea 14 226 0.4× 57 0.1× 220 0.7× 402 1.4× 140 0.8× 57 770
William Yeoh United States 16 208 0.3× 139 0.3× 531 1.7× 347 1.2× 68 0.4× 97 921
Rassul Ayani Sweden 17 728 1.1× 71 0.1× 812 2.7× 105 0.4× 94 0.6× 110 1.2k
Bryant A. Julstrom United States 16 42 0.1× 310 0.6× 184 0.6× 440 1.5× 336 2.0× 48 906
P. Merz Germany 8 48 0.1× 314 0.6× 105 0.3× 490 1.7× 238 1.4× 12 746
Saurabh Mittal United States 17 458 0.7× 50 0.1× 214 0.7× 148 0.5× 73 0.4× 60 791

Countries citing papers authored by Rhyd Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Rhyd Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rhyd Lewis

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

All Works

20 of 20 papers shown
1.
Lewis, Rhyd, et al.. (2024). A user-centric model of connectivity in street networks. Computers & Operations Research. 173. 106846–106846.
2.
Corcoran, Padraig & Rhyd Lewis. (2024). Optimisation of livestock routing on farms. Computers & Industrial Engineering. 188. 109882–109882. 1 indexed citations
3.
Lewis, Rhyd, Padraig Corcoran, & Andrei Gagarin. (2023). Methods for determining cycles of a specific length in undirected graphs with edge weights. Journal of Combinatorial Optimization. 46(5).
4.
Thiruvady, Dhananjay & Rhyd Lewis. (2022). Recombinative approaches for the maximum happy vertices problem. Swarm and Evolutionary Computation. 75. 101188–101188. 3 indexed citations
5.
Lewis, Rhyd & Padraig Corcoran. (2022). Finding fixed-length circuits and cycles in undirected edge-weighted graphs: an application with street networks. Journal of Heuristics. 28(3). 259–285. 1 indexed citations
6.
Lewis, Rhyd, et al.. (2022). A School Bus Routing Heuristic Algorithm Allowing Heterogeneous Fleets and Bus Stop Selection. SN Computer Science. 4(1). 4 indexed citations
7.
Lewis, Rhyd. (2020). Editorial for the Special Issue on “Algorithms for Graphs and Networks”. Algorithms. 13(11). 292–292.
8.
Lewis, Rhyd. (2020). Algorithms for Finding Shortest Paths in Networks with Vertex Transfer Penalties. Algorithms. 13(11). 269–269. 19 indexed citations
9.
Lewis, Rhyd, et al.. (2020). Effects of update frequencies in a dynamic capacitated arc routing problem. Networks. 76(4). 522–538. 13 indexed citations
10.
Lewis, Rhyd, Dhananjay Thiruvady, & Kerri Morgan. (2018). Finding happiness: An analysis of the maximum happy vertices problem. Computers & Operations Research. 103. 265–276. 15 indexed citations
11.
Lewis, Rhyd & Kate Smith‐Miles. (2018). A heuristic algorithm for finding cost-effective solutions to real-world school bus routing problems. Journal of Discrete Algorithms. 52-53. 2–17. 6 indexed citations
12.
Lewis, Rhyd, et al.. (2016). How to Pack Trapezoids: Exact and Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 1–1. 2 indexed citations
13.
Kheiri, Ahmed, Ender Özcan, Rhyd Lewis, & Jonathan Thompson. (2016). A Sequence-based selection hyper-heuristic : A case study in nurse rostering. ORCA Online Research @Cardiff (Cardiff University). 3 indexed citations
14.
Lewis, Rhyd. (2015). A Guide to Graph Colouring. 41 indexed citations
15.
Lewis, Rhyd & Jonathan Thompson. (2014). Analysing the effects of solution space connectivity with an effective metaheuristic for the course timetabling problem. European Journal of Operational Research. 240(3). 637–648. 42 indexed citations
16.
Smith‐Miles, Kate, et al.. (2013). Towards objective measures of algorithm performance across instance space. Computers & Operations Research. 45. 12–24. 126 indexed citations
17.
Carroll, Fiona & Rhyd Lewis. (2013). The ‘Engaged’ Interaction: Important Considerations for the HCI Design and Development of a Web Application for Solving a Complex Combinatorial Optimization Problem. ORCA Online Research @Cardiff (Cardiff University). 1(3). 75–82. 2 indexed citations
18.
Lewis, Rhyd, et al.. (2011). Revisiting the Restricted Growth Function Genetic Algorithm for Grouping Problems. Evolutionary Computation. 19(4). 693–704. 6 indexed citations
19.
Lewis, Rhyd, Jonathan Thompson, Christine L. Mumford, & Jonathan Gillard. (2011). A wide-ranging computational comparison of high-performance graph colouring algorithms. Computers & Operations Research. 39(9). 1933–1950. 19 indexed citations
20.
Song, Xiang, et al.. (2009). A worst case analysis of a dynamic programming-based heuristic algorithm for 2D unconstrained guillotine cutting. European Journal of Operational Research. 202(2). 368–378. 7 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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