James V. Burke

82 papers and 3.2k indexed citations
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About

James V. Burke is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, James V. Burke has authored 82 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computational Theory and Mathematics, 46 papers in Numerical Analysis and 24 papers in Computational Mechanics. Recurrent topics in James V. Burke’s work include Advanced Optimization Algorithms Research (45 papers), Optimization and Variational Analysis (32 papers) and Sparse and Compressive Sensing Techniques (22 papers). James V. Burke is often cited by papers focused on Advanced Optimization Algorithms Research (45 papers), Optimization and Variational Analysis (32 papers) and Sparse and Compressive Sensing Techniques (22 papers). James V. Burke collaborates with scholars based in United States, Canada and Italy. James V. Burke's co-authors include Michael L. Overton, Adrian S. Lewis, Michael C. Ferris, Jorge J. Morè, Sien Deng, Song Xu, Aleksandr Y. Aravkin, Didier Henrion, Gianluigi Pillonetto and D. Lüke and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of James V. Burke

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

Fields of papers citing papers by James V. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James V. Burke. 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 James V. Burke. The network helps show where James V. Burke may publish in the future.

Countries citing papers authored by James V. Burke

Since Specialization
Citations

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