Edwin E. Yaz

4.3k total citations · 1 hit paper
201 papers, 3.2k citations indexed

About

Edwin E. Yaz is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Edwin E. Yaz has authored 201 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Control and Systems Engineering, 41 papers in Artificial Intelligence and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Edwin E. Yaz's work include Stability and Control of Uncertain Systems (92 papers), Adaptive Control of Nonlinear Systems (76 papers) and Advanced Control Systems Optimization (52 papers). Edwin E. Yaz is often cited by papers focused on Stability and Control of Uncertain Systems (92 papers), Adaptive Control of Nonlinear Systems (76 papers) and Advanced Control Systems Optimization (52 papers). Edwin E. Yaz collaborates with scholars based in United States, Germany and Türkiye. Edwin E. Yaz's co-authors include Конрад Рейф, Stefan Günther, R. Unbehauen, Y.I. Yaz, Asok Ray, Asad Azemi, Fabien Josse, Michael J. Wenzel, Robert E. Skelton and Richard J. Povinelli and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

Edwin E. Yaz

175 papers receiving 3.1k citations

Hit Papers

Stochastic stability of the discrete-time extended Kalman... 1999 2026 2008 2017 1999 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stochastic stability of the discrete-time extended Kalman filter
    1999 752 citations Edwin E. Yaz et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edwin E. Yaz United States 26 2.2k 1.0k 825 431 305 201 3.2k
Конрад Рейф Germany 14 977 0.4× 824 0.8× 411 0.5× 300 0.7× 406 1.3× 59 2.0k
Jun Liu China 27 1.4k 0.7× 312 0.3× 887 1.1× 503 1.2× 205 0.7× 235 2.9k
Mohamed Boutayeb France 24 2.3k 1.1× 433 0.4× 470 0.6× 230 0.5× 357 1.2× 155 2.9k
Mohamed Darouach France 34 4.0k 1.8× 833 0.8× 708 0.9× 290 0.7× 214 0.7× 256 4.7k
Ali Khaki Sedigh Iran 23 1.6k 0.7× 407 0.4× 230 0.3× 304 0.7× 153 0.5× 240 2.4k
Antonio Sala Spain 25 2.8k 1.3× 888 0.9× 680 0.8× 251 0.6× 146 0.5× 170 3.4k
Karolos Grigoriadis United States 32 3.5k 1.6× 209 0.2× 430 0.5× 322 0.7× 381 1.2× 258 4.7k
Xiaoli Luan China 29 2.6k 1.2× 570 0.5× 996 1.2× 259 0.6× 114 0.4× 142 3.3k
Hieu Trinh Australia 41 5.1k 2.3× 490 0.5× 1.7k 2.0× 1.5k 3.4× 98 0.3× 283 6.4k
Zhenhua Wang China 33 2.6k 1.2× 593 0.6× 587 0.7× 197 0.5× 123 0.4× 215 3.2k

Countries citing papers authored by Edwin E. Yaz

Since Specialization
Citations

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

Fields of papers citing papers by Edwin E. Yaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin E. Yaz. 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 Edwin E. Yaz. The network helps show where Edwin E. Yaz may publish in the future.

Co-authorship network of co-authors of Edwin E. Yaz

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin E. Yaz. A scholar is included among the top collaborators of Edwin E. Yaz 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 Edwin E. Yaz. Edwin E. Yaz 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.
Schneider, Susan C., et al.. (2024). Permanent Magnet Synchronous Motor Speed and Position Estimation Using Reduced-Order Extended Kalman Filter. IFAC-PapersOnLine. 58(28). 774–779.
2.
Mao, Zhi‐Hong, et al.. (2023). Polyphase Permanent Magnet Synchronous Motors Direct Current Model Predictive Control with Long Prediction Horizons. IFAC-PapersOnLine. 56(2). 2719–2726. 1 indexed citations
3.
Feng, Fan, Susan C. Schneider, & Edwin E. Yaz. (2015). Performance analysis of resilient dynamic feedback H<inf>2</inf> controllers for discrete-time systems. 1. 2003–2008. 1 indexed citations
4.
Feng, Fan, et al.. (2015). Performance analysis of resilient dynamic feedback H<inf>2</inf> controllers. 2. 1404–1409. 1 indexed citations
5.
Yaz, Edwin E., et al.. (2006). An adaptive kalman filter for removing baseline wandering in ECG signals. Computing in Cardiology Conference. 253–256. 47 indexed citations
6.
Yaz, Edwin E., et al.. (2006). An Adaptive Kalman Filter for Removing Baseline Wandering. e-Publications@Marquette (Marquette University). 4 indexed citations
7.
Yaz, Edwin E., et al.. (2006). Minimum variance generalized state estimators for multiple sensors with different delay rates. Signal Processing. 87(4). 602–613. 55 indexed citations
8.
Yaz, Edwin E., et al.. (2005). An LMI approach to discrete-time observer design with stochastic resilience. Journal of Computational and Applied Mathematics. 188(2). 246–255. 26 indexed citations
9.
Yaz, Edwin E., et al.. (2005). Resilient design of discrete-time observers with general criteria using LMIs. Mathematical and Computer Modelling. 42(9-10). 931–938. 9 indexed citations
10.
Yaz, Edwin E., et al.. (2005). Nonlinear observer design with general criteria. 3636–3640. 34 indexed citations
11.
Yaz, Edwin E., et al.. (2005). Unbiased minimum variance estimator design for scalar quadratic maps. 45. 4034–4038. 1 indexed citations
12.
Yaz, Edwin E., et al.. (2004). Resilient design of discrete-time observers with general criteria using LMIs. 2. 1416–1419. 1 indexed citations
13.
Yaz, Edwin E., et al.. (2003). Nonlinear observer performance in chaotic synchronization with application to secure communication. 1. 76–81. 13 indexed citations
14.
Yaz, Edwin E., Yang Gao, & K.J. Olejniczak. (2003). Comparison of adaptive filter performance in estimating the noise statistics for harmonic models. 5. 5070–5075. 5 indexed citations
15.
Yaz, Edwin E., et al.. (2002). Robot manipulator control using adaptive computed torque technique. 947–949. 1 indexed citations
16.
Yaz, Edwin E., et al.. (2002). State-dependent LMI control of discrete-time nonlinear systems. 4. 4626–4627. 13 indexed citations
17.
Yaz, Edwin E. & Y.I. Yaz. (2001). State estimation of uncertain nonlinear stochastic systems with general criteria. Applied Mathematics Letters. 14(5). 605–610. 46 indexed citations
18.
Yaz, Edwin E. & Asok Ray. (1998). Linear unbiased state estimation under randomly varying bounded sensor delay. Applied Mathematics Letters. 11(4). 27–32. 82 indexed citations
19.
Yaz, Edwin E., et al.. (1993). Robust Stabilization and Disturbance Attenuation for Systems with Structured Nonlinearities. 2811–2815. 1 indexed citations
20.
Yaz, Edwin E.. (1986). Connection between stabilisability conditions for two different controllers. Electronics Letters. 22(22). 1177–1178. 1 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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