Keigo Yamada

708 total citations
41 papers, 490 citations indexed

About

Keigo Yamada is a scholar working on Finance, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Keigo Yamada has authored 41 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Finance, 9 papers in Mathematical Physics and 9 papers in Artificial Intelligence. Recurrent topics in Keigo Yamada's work include Stochastic processes and financial applications (12 papers), Advanced Queuing Theory Analysis (8 papers) and Stochastic processes and statistical mechanics (7 papers). Keigo Yamada is often cited by papers focused on Stochastic processes and financial applications (12 papers), Advanced Queuing Theory Analysis (8 papers) and Stochastic processes and statistical mechanics (7 papers). Keigo Yamada collaborates with scholars based in Japan, Slovenia and Germany. Keigo Yamada's co-authors include Taku Nonomura, Yuji Saito, Kumi Nakai, Takayuki Nagata, Keisuke Asai, Daisuke Tsubakino, Yasuo Sasaki, Shunsuke Ono, Shin‐ichi Ito and Masayuki Kano and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and Sensors.

In The Last Decade

Keigo Yamada

38 papers receiving 457 citations

Peers

Keigo Yamada
Jonathan Rogers United States
Edmondo Minisci United Kingdom
Hong Xia China
Choi-Hong Lai United Kingdom
H.A. Spang United States
Chang‐Hee Won United States
Jonathan Rogers United States
Keigo Yamada
Citations per year, relative to Keigo Yamada Keigo Yamada (= 1×) peers Jonathan Rogers

Countries citing papers authored by Keigo Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Keigo Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keigo Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Keigo Yamada. A scholar is included among the top collaborators of Keigo Yamada 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 Keigo Yamada. Keigo Yamada 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.
Sasaki, Yasuo, Keigo Yamada, Takayuki Nagata, Yuji Saito, & Taku Nonomura. (2025). Fast Data-Driven Greedy Sensor Selection for Ridge Regression. IEEE Sensors Journal. 25(6). 10030–10045.
2.
Yamada, Keigo, et al.. (2024). Improved estimation of yaw angle and surface pressure distribution of Ahmed model with optimized sparse sensors by Bayesian framework based on pressure-sensitive paint data. Experimental Thermal and Fluid Science. 156. 111210–111210. 3 indexed citations
3.
Yamada, Keigo, Yasuo Sasaki, Takayuki Nagata, et al.. (2023). Efficient Sensor Node Selection for Observability Gramian Optimization. Sensors. 23(13). 5961–5961. 7 indexed citations
4.
Saito, Yuji, et al.. (2023). Sensor Selection With Cost Function Using Nondominated-Solution-Based Multiobjective Greedy Method. IEEE Sensors Journal. 23(24). 31006–31016. 4 indexed citations
5.
Yamada, Keigo, Yuji Saito, Taku Nonomura, & Keisuke Asai. (2022). Greedy Sensor Selection for Weighted Linear Least Squares Estimation Under Correlated Noise. IEEE Access. 10. 79356–79364. 19 indexed citations
6.
Yamada, Keigo, et al.. (2022). Proof-of-concept study of sparse processing particle image velocimetry for real time flow observation. Experiments in Fluids. 63(9). 16 indexed citations
7.
Nagata, Takayuki, Taku Nonomura, Kumi Nakai, et al.. (2021). Data-Driven Sparse Sensor Selection Based on A-Optimal Design of Experiment With ADMM. IEEE Sensors Journal. 21(13). 15248–15257. 29 indexed citations
8.
Saito, Yuji, et al.. (2019). Determinant based Fast Greedy Optimization on Sparse Sensor Selection. Bulletin of the American Physical Society. 1 indexed citations
9.
Yamada, Keigo. (1998). Toward a Unified Analysis of Honorification Phenomena in Japanese Existential and Possessive Constructions : Is the Subject of Possessive Construction Really the Dative NP?. Terrestrial Environment Research Center (University of Tsukuba). 17. 277–302.
10.
Yamada, Keigo. (1995). Diffusion Approximation for Open State-Dependent Queueing Networks in the Heavy Traffic Situation. The Annals of Applied Probability. 5(4). 20 indexed citations
11.
Yamada, Keigo. (1994). Reflecting or sticky Markov processes with Levy generators as the limit of storage processes. Stochastic Processes and their Applications. 52(1). 135–164. 9 indexed citations
12.
Kasahara, Yuji & Keigo Yamada. (1991). Stability theorem for stochastic differential equations with jumps. Stochastic Processes and their Applications. 38(1). 13–32. 2 indexed citations
13.
Yamada, Keigo. (1985). Some exponential type bounds for hitting time distributions of storage processes. Stochastic Processes and their Applications. 19(1). 101–109. 1 indexed citations
14.
Yamada, Keigo. (1984). Diffusion Approximations for Storage Processes with General Release Rules. Mathematics of Operations Research. 9(3). 459–470. 8 indexed citations
15.
Yamada, Keigo. (1983). A bound for the expected hitting time of storage processes. Stochastic Processes and their Applications. 14(1). 93–105. 3 indexed citations
16.
Yamada, Keigo. (1983). Diffusion approximation for storage processes. Operations Research Letters. 2(1). 22–26. 1 indexed citations
17.
Yamada, Keigo. (1980). Explicit formula of optimal replacement under additive shock processes. Stochastic Processes and their Applications. 10(2). 193–208. 12 indexed citations
18.
Yamada, Keigo. (1976). Asymptotic behavior of posterior distributions for random processes under incorrect models. Journal of Mathematical Analysis and Applications. 56(2). 294–308. 5 indexed citations
19.
Yamada, Keigo. (1975). Duality theorem in Markovian decision problems. Journal of Mathematical Analysis and Applications. 50(3). 579–595. 9 indexed citations
20.
Yamada, Keigo. (1974). Optimal Control of Diffusion Processes with Long-Term Average Cost. Transactions of the Society of Instrument and Control Engineers. 10(6). 742–748.

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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