Jay D. Martin

29 papers and 1.4k indexed citations i.

About

Jay D. Martin is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Jay D. Martin has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 10 papers in Management Science and Operations Research and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Jay D. Martin’s work include Advanced Multi-Objective Optimization Algorithms (11 papers), Optimal Experimental Design Methods (7 papers) and Technology Assessment and Management (4 papers). Jay D. Martin is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (11 papers), Optimal Experimental Design Methods (7 papers) and Technology Assessment and Management (4 papers). Jay D. Martin collaborates with scholars based in United States, Ecuador and United Kingdom. Jay D. Martin's co-authors include Timothy W. Simpson, John E. Renaud, Shawn Gano, H. A. Zebker, S. Vetrella, T. Miller, Yunling Lou, Kevin Wheeler, S.N. Madsen and Gary Stump and has published in prestigious journals such as Neuroscience, IEEE Transactions on Geoscience and Remote Sensing and AIAA Journal.

In The Last Decade

Co-authorship network of co-authors of Jay D. Martin i

Fields of papers citing papers by Jay D. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jay D. Martin

Since Specialization
Citations

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

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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2025