Meeko Oishi

86 papers and 1.2k indexed citations i.

About

Meeko Oishi is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Meeko Oishi has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Control and Systems Engineering, 25 papers in Computational Theory and Mathematics and 17 papers in Artificial Intelligence. Recurrent topics in Meeko Oishi’s work include Formal Methods in Verification (22 papers), Advanced Control Systems Optimization (22 papers) and Fault Detection and Control Systems (9 papers). Meeko Oishi is often cited by papers focused on Formal Methods in Verification (22 papers), Advanced Control Systems Optimization (22 papers) and Fault Detection and Control Systems (9 papers). Meeko Oishi collaborates with scholars based in United States, Canada and United Kingdom. Meeko Oishi's co-authors include Ian M. Mitchell, Claire J. Tomlin, Alexandre M. Bayen, Kendra Lesser, Shahab Kaynama, Abraham P. Vinod, Joan Roughgarden, Guy A. Dumont, Erol Akçay and Martin J. McKeown and has published in prestigious journals such as Science, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of Meeko Oishi i

Fields of papers citing papers by Meeko Oishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meeko Oishi. 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 Meeko Oishi. The network helps show where Meeko Oishi may publish in the future.

Countries citing papers authored by Meeko Oishi

Since Specialization
Citations

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