Laurence J. Moore

41 total papers · 658 total citations
29 papers, 495 citations indexed

About

Laurence J. Moore is a scholar working on Control and Systems Engineering, Management Science and Operations Research and Management Information Systems. According to data from OpenAlex, Laurence J. Moore has authored 29 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 8 papers in Management Science and Operations Research and 5 papers in Management Information Systems. Recurrent topics in Laurence J. Moore's work include Optimization and Mathematical Programming (9 papers), Water resources management and optimization (4 papers) and Scheduling and Optimization Algorithms (3 papers). Laurence J. Moore is often cited by papers focused on Optimization and Mathematical Programming (9 papers), Water resources management and optimization (4 papers) and Scheduling and Optimization Algorithms (3 papers). Laurence J. Moore collaborates with scholars based in United States and Latvia. Laurence J. Moore's co-authors include Seunghwan Lee, Bernard W. Taylor, Edward R. Clayton, Sang M. Lee, Philip Y. Huang, Tarun K. Sen, Traci J. Hess, Roberta S. Russell, Terry R. Rakes and Monroe M. Bird and has published in prestigious journals such as Journal of Marketing, Management Science and European Journal of Operational Research.

In The Last Decade

Laurence J. Moore

29 papers receiving 448 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Laurence J. Moore	199	184	140	53	45	29	495
Edward R. Clayton	219 1.1×	166 0.9×	142 1.0×	53 1.0×	25 0.6×	27	477
Junn‐Yuan Teng	245 1.2×	92 0.5×	109 0.8×	41 0.8×	34 0.8×	21	506
Mojtaba Heydar	168 0.8×	66 0.4×	144 1.0×	58 1.1×	25 0.6×	27	444
Yuh‐Wen Chen	231 1.2×	97 0.5×	53 0.4×	51 1.0×	69 1.5×	35	546
Orlando Durán	191 1.0×	60 0.3×	162 1.2×	67 1.3×	75 1.7×	20	527
Jiamin Wang	246 1.2×	120 0.7×	130 0.9×	51 1.0×	14 0.3×	25	529
Stefan Jovčić	253 1.3×	54 0.3×	101 0.7×	62 1.2×	27 0.6×	29	549
Esra Karasakal	163 0.8×	109 0.6×	142 1.0×	23 0.4×	16 0.4×	22	447
Banu Soylu	102 0.5×	84 0.5×	175 1.3×	34 0.6×	9 0.2×	24	425
Reza Khorramshahgol	207 1.0×	99 0.5×	28 0.2×	82 1.5×	40 0.9×	29	455

Countries citing papers authored by Laurence J. Moore

Since Specialization

Citations

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

Fields of papers citing papers by Laurence J. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurence J. Moore. 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 Laurence J. Moore. The network helps show where Laurence J. Moore may publish in the future.

Co-authorship network of co-authors of Laurence J. Moore

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

All Works

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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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