This map shows the geographic impact of Michael 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 Michael Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Burke more than expected).
This network shows the impact of papers produced by Michael 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 Michael Burke. The network helps show where Michael Burke may publish in the future.
Co-authorship network of co-authors of Michael Burke
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Burke.
A scholar is included among the top collaborators of Michael 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 Michael Burke. Michael Burke is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Burke, Michael, et al.. (2020). Residual Learning from Demonstration.. arXiv (Cornell University).2 indexed citations
5.
Burke, Michael, et al.. (2019). Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video.. arXiv (Cornell University).4 indexed citations
6.
Burke, Michael, et al.. (2019). Vid2Param: Online system identification from video for robotics applications. arXiv (Cornell University).2 indexed citations
7.
Burke, Michael, et al.. (2018). New hemophilia B gene therapy appears effective. Contemporary pediatrics.1 indexed citations
8.
Burke, Michael, et al.. (2018). Seeing movies with guns piques kids’ interest in using them. Contemporary pediatrics.1 indexed citations
9.
Burke, Michael, et al.. (2015). Beta-lactam or macrolide monotherapy for CAP?. Contemporary pediatrics. 32(9). 14–15.1 indexed citations
10.
Burke, Michael. (2013). Normal fecal calprotectin level rules out likelihood of IBD. Contemporary pediatrics. 30(2). 7–8.1 indexed citations
11.
Burke, Michael. (2013). Young men are increasingly abusing 2 new designer drugs. Contemporary pediatrics. 30(9). 23–24.1 indexed citations
Burke, Michael. (2006). Peer counseling for Mom fosters breastfeeding of premature infants. Contemporary pediatrics. 23(10).1 indexed citations
15.
Berry, D.P. & Michael Burke. (2006). Do-it-yourself milk recording as a viable alternative to supervised milk recording in Ireland. Irish Journal of Agricultural and Food Research. 45(1). 1–12.8 indexed citations
16.
Judge, John, Michael Burke, Aoife Cahill, et al.. (2005). Strong Domain Variation and Treebank-Induced LFG Resources. Arrow@dit (Dublin Institute of Technology).3 indexed citations
17.
Burke, Michael, Aoife Cahill, Ruth O'Donovan, et al.. (2004). Treebank-Based Acquisition of a Chinese Lexical-Functional Grammar. Arrow@dit (Dublin Institute of Technology). 161–172.14 indexed citations
18.
Burke, Michael & Mary Lou Soffa. (2001). Proceedings of the ACM SIGPLAN 2001 conference on Programming language design and implementation.1 indexed citations
19.
Roberts, R. Michael, Mary K. Murray, Michael Burke, Catherine M. Ketcham, & Fuller W. Bazer. (1987). Hormonal Control and Function of Secretory Proteins. Advances in experimental medicine and biology. 230. 137–150.26 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.