Meeko Oishi

2.6k total citations
107 papers, 1.6k citations indexed

About

Meeko Oishi is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Meeko Oishi has authored 107 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Control and Systems Engineering, 33 papers in Computational Theory and Mathematics and 19 papers in Management Science and Operations Research. Recurrent topics in Meeko Oishi's work include Formal Methods in Verification (28 papers), Advanced Control Systems Optimization (25 papers) and Human-Automation Interaction and Safety (15 papers). Meeko Oishi is often cited by papers focused on Formal Methods in Verification (28 papers), Advanced Control Systems Optimization (25 papers) and Human-Automation Interaction and Safety (15 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, Lydia Tapia, Hao-Tien Lewis Chiang, Abraham P. Vinod, Shahab Kaynama, Joan Roughgarden and Erol Akçay and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.

In The Last Decade

Meeko Oishi

100 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Meeko Oishi United States 21 659 376 348 339 191 107 1.6k
David Kortenkamp United States 20 376 0.6× 85 0.2× 665 1.9× 549 1.6× 624 3.3× 82 1.7k
Nathan Koenig United States 9 765 1.2× 52 0.1× 1.1k 3.0× 752 2.2× 501 2.6× 13 2.5k
Roderic A. Grupen United States 26 1.4k 2.1× 128 0.3× 788 2.3× 288 0.8× 809 4.2× 140 2.4k
Eliot Winer United States 18 131 0.2× 126 0.3× 633 1.8× 220 0.6× 217 1.1× 141 1.4k
Matthew Garratt Australia 27 1.2k 1.8× 164 0.4× 1.1k 3.1× 1.1k 3.3× 490 2.6× 202 2.8k
F. Sandoval Spain 24 346 0.5× 52 0.1× 768 2.2× 360 1.1× 456 2.4× 187 2.1k
Matthew R. Walter United States 24 600 0.9× 46 0.1× 1.6k 4.7× 1.1k 3.2× 1.0k 5.4× 61 2.7k
Richard Alan Peters United States 17 302 0.5× 62 0.2× 280 0.8× 198 0.6× 315 1.6× 61 1.1k
Heni Ben Amor United States 23 865 1.3× 49 0.1× 424 1.2× 74 0.2× 506 2.6× 83 1.6k
Freek Stulp Germany 25 1.2k 1.8× 48 0.1× 337 1.0× 107 0.3× 564 3.0× 102 1.9k

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).

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.

Co-authorship network of co-authors of Meeko Oishi

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

All Works

20 of 20 papers shown
1.
Oishi, Meeko, et al.. (2024). Classification of Human Learning Stages via Kernel Distribution Embeddings. SHILAP Revista de lepidopterología. 3. 102–117. 2 indexed citations
2.
3.
Açıkmeşe, Behçet, et al.. (2024). Blameless and Optimal Control under Prioritized Safety Constraints. 2311–2317.
4.
Vinod, Abraham P., et al.. (2023). Convexified Open-Loop Stochastic Optimal Control for Linear Systems With Log-Concave Disturbances. IEEE Transactions on Automatic Control. 69(2). 1249–1256. 1 indexed citations
5.
Oishi, Meeko, et al.. (2023). Data-Driven Stochastic Optimal Control Using Kernel Gradients. 2548–2553. 2 indexed citations
6.
Wen, John T., et al.. (2022). Fast tuning of observer-based circadian phase estimator using biometric data. Heliyon. 8(12). e12500–e12500. 3 indexed citations
7.
Oishi, Meeko, et al.. (2022). Distribution Steering for Discrete-Time Linear Systems with General Disturbances using Characteristic Functions. 2022 American Control Conference (ACC). 4183–4190. 8 indexed citations
8.
Oishi, Meeko, John P. Hanifin, George C. Brainard, et al.. (2019). Smart Lighting Clinical Testbed Pilot Study on Circadian Phase Advancement. IEEE Journal of Translational Engineering in Health and Medicine. 7. 1–10. 5 indexed citations
9.
Abate, Alessandro, H.A.P. Blom, Martin Fränzle, et al.. (2019). ARCH-COMP19 Category Report: Stochastic Modelling. EPiC series in computing. 61. 62–20. 3 indexed citations
10.
Mishra, Sandipan, et al.. (2018). Estimation of solar heat gain using illumination sensor measurements. Solar Energy. 174. 296–304. 6 indexed citations
11.
Oishi, Meeko, et al.. (2018). Under-Approximating Reach-Avoid Sets for Space Vehicle Maneuvering in the Presence of Debris. IFAC-PapersOnLine. 51(12). 142–147. 5 indexed citations
12.
Oishi, Meeko, et al.. (2017). A novel smart lighting clinical testbed. PubMed. 2017. 4317–4320. 4 indexed citations
13.
Lee, Soojin, et al.. (2015). Multifaceted effects of noisy galvanic vestibular stimulation on manual tracking behavior in Parkinson’s disease. Frontiers in Systems Neuroscience. 9. 5–5. 28 indexed citations
14.
Lewis, Michael, et al.. (2014). Towards a Cognitively-Based Analytic Model of Human Control of Swarms.. National Conference on Artificial Intelligence. 1 indexed citations
15.
Lesser, Kendra & Meeko Oishi. (2014). Approximate Verification of Partially Observable Discrete Time Stochastic Hybrid Systems.. arXiv (Cornell University). 1 indexed citations
16.
Liu, Aiping, et al.. (2013). Parkinson’s Disease Rigidity: Relation to Brain Connectivity and Motor Performance. Frontiers in Neurology. 4. 67–67. 49 indexed citations
17.
Oishi, Meeko, Ian M. Mitchell, & H. F. Machiel Van der Loos. (2010). Design and Use of Assistive Technology: Social, Technical, Ethical, and Economic Challenges. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 27 indexed citations
18.
Kaynama, Shahab & Meeko Oishi. (2010). Overapproximating the reachable sets of LTI systems through a similarity transformation. 1874–1879. 3 indexed citations
19.
Oishi, Meeko. (2007). Towards Switched Control Under Input and State Constraints. 152. 1622–1625. 3 indexed citations
20.
Tomlin, Claire J., Ian M. Mitchell, Alexandre M. Bayen, & Meeko Oishi. (2003). Computational techniques for the verification of hybrid systems. Proceedings of the IEEE. 91(7). 986–1001. 235 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.

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