Mulugeta Haile

1.2k total citations
38 papers, 876 citations indexed

About

Mulugeta Haile is a scholar working on Artificial Intelligence, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, Mulugeta Haile has authored 38 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Mechanics of Materials and 9 papers in Control and Systems Engineering. Recurrent topics in Mulugeta Haile's work include Structural Health Monitoring Techniques (8 papers), Ultrasonics and Acoustic Wave Propagation (6 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). Mulugeta Haile is often cited by papers focused on Structural Health Monitoring Techniques (8 papers), Ultrasonics and Acoustic Wave Propagation (6 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). Mulugeta Haile collaborates with scholars based in United States and United Kingdom. Mulugeta Haile's co-authors include Huazhen Fang, Yebin Wang, Jaret C. Riddick, Ning Tian, MengChu Zhou, Ying‐Cheng Lai, Bryan Glaz, Daniel P. Cole, Sankaran Mahadevan and Pranav Karve and has published in prestigious journals such as Nature Communications, Automatica and IEEE Access.

In The Last Decade

Mulugeta Haile

37 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mulugeta Haile United States 17 205 191 182 180 143 38 876
Keyu Wu Singapore 22 217 1.1× 113 0.6× 368 2.0× 264 1.5× 184 1.3× 87 1.4k
Tariq Sattar United Kingdom 15 193 0.9× 90 0.5× 232 1.3× 251 1.4× 136 1.0× 75 956
Ajay Mahajan United States 18 87 0.4× 171 0.9× 132 0.7× 225 1.3× 75 0.5× 89 989
Zhongbin Wang China 19 93 0.5× 127 0.7× 230 1.3× 517 2.9× 196 1.4× 102 1.1k
Jie Shen China 20 87 0.4× 214 1.1× 155 0.9× 282 1.6× 203 1.4× 148 1.3k
Lei Si China 19 116 0.6× 141 0.7× 223 1.2× 530 2.9× 202 1.4× 90 1.3k
James T. Allison United States 21 83 0.4× 221 1.2× 430 2.4× 347 1.9× 390 2.7× 133 1.7k
Jin Huang China 15 78 0.4× 118 0.6× 245 1.3× 107 0.6× 178 1.2× 61 733
Xiaolan Wang China 22 157 0.8× 231 1.2× 158 0.9× 433 2.4× 278 1.9× 116 1.4k
Ekaitz Zulueta Spain 22 145 0.7× 184 1.0× 225 1.2× 173 1.0× 45 0.3× 132 1.5k

Countries citing papers authored by Mulugeta Haile

Since Specialization
Citations

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

Fields of papers citing papers by Mulugeta Haile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mulugeta Haile

This figure shows the co-authorship network connecting the top 25 collaborators of Mulugeta Haile. A scholar is included among the top collaborators of Mulugeta Haile 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 Mulugeta Haile. Mulugeta Haile 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.
Panahi, Shirin, et al.. (2024). Machine learning prediction of tipping in complex dynamical systems. Physical Review Research. 6(4). 8 indexed citations
2.
Glaz, Bryan, et al.. (2024). Machine-learning parameter tracking with partial state observation. Physical Review Research. 6(1). 7 indexed citations
3.
Murdoch, Heather A., Daniel Field, Levi D. McClenny, et al.. (2023). Tempered Hardness Optimization of Martensitic Alloy Steels. Integrating materials and manufacturing innovation. 12(4). 301–320. 2 indexed citations
4.
Kong, Ling-Wei, et al.. (2023). Model-free tracking control of complex dynamical trajectories with machine learning. Nature Communications. 14(1). 5698–5698. 35 indexed citations
5.
Kong, Ling-Wei, Yang Weng, Bryan Glaz, Mulugeta Haile, & Ying‐Cheng Lai. (2023). Reservoir computing as digital twins for nonlinear dynamical systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(3). 33111–33111. 38 indexed citations
6.
Glaz, Bryan, et al.. (2021). Tomography of time-dependent quantum Hamiltonians with machine learning. Physical review. A. 104(6). 6 indexed citations
7.
Glaz, Bryan, et al.. (2021). Adaptable Hamiltonian neural networks. Physical Review Research. 3(2). 26 indexed citations
8.
Chalivendra, Vijaya, et al.. (2020). Electrical and shear constitutive response of conductive glass fibre/epoxy composites. Plastics Rubber and Composites Macromolecular Engineering. 49(3). 108–115. 9 indexed citations
9.
Geng, Hang, Mulugeta Haile, & Huazhen Fang. (2020). SSUE: Simultaneous State and Uncertainty Estimation for Dynamical Systems. arXiv (Cornell University). 18 indexed citations
10.
Chalivendra, Vijaya, et al.. (2019). Characterization of electro-mechanical response in novel carbon fiber composite materials. Journal of Composite Materials. 53(19). 2675–2686. 2 indexed citations
11.
Chalivendra, Vijaya, et al.. (2019). Electro-mechanical studies of multi-functional glass fiber/epoxy reinforced composites. Journal of Reinforced Plastics and Composites. 38(11). 506–520. 13 indexed citations
12.
Karve, Pranav, et al.. (2019). Digital twin approach for damage-tolerant mission planning under uncertainty. Engineering Fracture Mechanics. 225. 106766–106766. 93 indexed citations
13.
Ma, Meng, et al.. (2019). Direct waveform extraction via a deep recurrent denoising autoencoder. 61–61. 4 indexed citations
14.
Fang, Huazhen, Ning Tian, Yebin Wang, MengChu Zhou, & Mulugeta Haile. (2018). Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon. IEEE/CAA Journal of Automatica Sinica. 5(2). 401–417. 162 indexed citations
15.
Haile, Mulugeta, et al.. (2017). Distributed acoustic emission sensing for large complex air structures. Structural Health Monitoring. 17(3). 624–634. 18 indexed citations
16.
Haile, Mulugeta, et al.. (2016). Robust Particle Filters for Fatigue Crack Growth Estimation in Rotorcraft Structures. IEEE Transactions on Reliability. 65(3). 1438–1448. 30 indexed citations
17.
Riddick, Jaret C., et al.. (2016). Fractographic analysis of tensile failure of acrylonitrile-butadiene-styrene fabricated by fused deposition modeling. Additive manufacturing. 11. 49–59. 105 indexed citations
18.
Haile, Mulugeta, Anindya Ghoshal, & Brian Dykas. (2012). Blind Source Separation and Blind Equalization for Vibration Based Diagnostics of Rotorcraft Bearings.
19.
20.
Haile, Mulugeta, et al.. (2011). Prognostics and Diagnostics of Rotorcraft Bearings. Structural Health Monitoring. 2 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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