Jay S. Golden

47 total papers · 901 total citations
19 papers, 651 citations indexed

About

Jay S. Golden is a scholar working on Civil and Structural Engineering, Strategy and Management and General Agricultural and Biological Sciences. According to data from OpenAlex, Jay S. Golden has authored 19 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Civil and Structural Engineering, 4 papers in Strategy and Management and 3 papers in General Agricultural and Biological Sciences. Recurrent topics in Jay S. Golden's work include Concrete and Cement Materials Research (4 papers), Asphalt Pavement Performance Evaluation (4 papers) and Concrete Properties and Behavior (3 papers). Jay S. Golden is often cited by papers focused on Concrete and Cement Materials Research (4 papers), Asphalt Pavement Performance Evaluation (4 papers) and Concrete Properties and Behavior (3 papers). Jay S. Golden collaborates with scholars based in United States, Thailand and Canada. Jay S. Golden's co-authors include Karen C. Seto, Marina Alberti, B. L. Turner, Kamil E. Kaloush, Krishna Prapoorna Biligiri, Philip White, James C. Hershauer, Han‐Seung Lee, Xiao-Yong Wang and Jae-Jun Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cement and Concrete Composites.

In The Last Decade

Jay S. Golden

18 papers receiving 614 citations

Author Peers

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

Author Last Decade Papers Cites
Jay S. Golden 180 172 164 103 85 19 651
Chiara Farné Fratini 39 0.2× 248 1.4× 269 1.6× 66 0.6× 63 0.7× 22 733
Samuel A. Markolf 234 1.3× 287 1.7× 137 0.8× 69 0.7× 74 0.9× 21 776
Raheleh Rostami 39 0.2× 57 0.3× 88 0.5× 258 2.5× 100 1.2× 21 733
Susie Moloney 28 0.2× 299 1.7× 54 0.3× 83 0.8× 71 0.8× 32 739
Jose Manuel Diaz‐Sarachaga 37 0.2× 115 0.7× 79 0.5× 214 2.1× 33 0.4× 23 774
Federico Guglielmo Maetzke 48 0.3× 172 1.0× 66 0.4× 63 0.6× 17 0.2× 35 778
Jaume Albertí 135 0.8× 33 0.2× 202 1.2× 196 1.9× 34 0.4× 23 603
David J. Blackwood 57 0.3× 106 0.6× 169 1.0× 154 1.5× 29 0.3× 43 732
José Manuel Palma‐Oliveira 99 0.6× 143 0.8× 57 0.3× 37 0.4× 155 1.8× 37 771
I‐Shin Chang 55 0.3× 134 0.8× 106 0.6× 184 1.8× 22 0.3× 45 780

Countries citing papers authored by Jay S. Golden

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Golden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay S. Golden. 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 Jay S. Golden. The network helps show where Jay S. Golden may publish in the future.

Co-authorship network of co-authors of Jay S. Golden

This figure shows the co-authorship network connecting the top 25 collaborators of Jay S. Golden. A scholar is included among the top collaborators of Jay S. Golden 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 Jay S. Golden. Jay S. Golden 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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