H. Henao

2.9k total citations · 1 hit paper
66 papers, 2.4k citations indexed

About

H. Henao is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, H. Henao has authored 66 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Control and Systems Engineering, 34 papers in Electrical and Electronic Engineering and 30 papers in Mechanical Engineering. Recurrent topics in H. Henao's work include Machine Fault Diagnosis Techniques (46 papers), Electric Motor Design and Analysis (27 papers) and Gear and Bearing Dynamics Analysis (15 papers). H. Henao is often cited by papers focused on Machine Fault Diagnosis Techniques (46 papers), Electric Motor Design and Analysis (27 papers) and Gear and Bearing Dynamics Analysis (15 papers). H. Henao collaborates with scholars based in France, Spain and Iran. H. Henao's co-authors include Gérard‐André Capolino, Shahin Hedayati Kia, Giansalvo Cirrincione, Miguel Delgado-Prieto, A. García, J. A. Ortega, A. Yazidi, F. Bétin, Farhat Fnaiech and Lotfi Saïdi and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industry Applications and IEEE Transactions on Energy Conversion.

In The Last Decade

H. Henao

63 papers receiving 2.3k citations

Hit Papers

Bearing Fault Detection by a Novel Condition-Monitoring S... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Henao France 24 2.0k 1.3k 695 439 271 66 2.4k
Shahin Hedayati Kia France 24 2.0k 1.0× 1.4k 1.1× 560 0.8× 448 1.0× 276 1.0× 61 2.3k
Rubén Puche‐Panadero Spain 23 1.9k 0.9× 1.1k 0.8× 579 0.8× 427 1.0× 283 1.0× 80 2.1k
Mohamed Benbouzid France 10 1.7k 0.8× 844 0.7× 950 1.4× 338 0.8× 167 0.6× 13 2.2k
Humberto Henao France 21 1.6k 0.8× 1.1k 0.8× 629 0.9× 339 0.8× 190 0.7× 53 1.9k
R.R. Schoen United States 11 2.0k 1.0× 1.3k 1.0× 524 0.8× 467 1.1× 212 0.8× 11 2.2k
Hubert Razik France 23 1.6k 0.8× 820 0.6× 915 1.3× 327 0.7× 143 0.5× 88 2.1k
Daniel Moríñigo-Sotelo Spain 23 1.5k 0.7× 832 0.7× 642 0.9× 303 0.7× 184 0.7× 106 1.8k
C. Rossi Italy 26 1.8k 0.9× 675 0.5× 1.7k 2.4× 165 0.4× 126 0.5× 163 2.8k
C. Tassoni Italy 24 3.8k 1.9× 2.1k 1.7× 1.6k 2.3× 818 1.9× 367 1.4× 72 4.4k
G.B. Kliman United States 23 3.2k 1.6× 1.7k 1.3× 2.2k 3.2× 515 1.2× 239 0.9× 50 4.1k

Countries citing papers authored by H. Henao

Since Specialization
Citations

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

Fields of papers citing papers by H. Henao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Henao

This figure shows the co-authorship network connecting the top 25 collaborators of H. Henao. A scholar is included among the top collaborators of H. Henao 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 H. Henao. H. Henao 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.
Kumar, Rahul, et al.. (2023). Open Rotor Phase Fault Detection in Wound-Rotor Induction Machines Using Signal Texture and Shallow Neural Networks. SPIRE - Sciences Po Institutional REpository. 1–6.
2.
Henao, H., et al.. (2022). Contrast Feature-Based Approach for Fault Detection in Wound-Rotor Induction Machines. 2022 International Conference on Electrical Machines (ICEM). 670–676. 2 indexed citations
3.
Tahami, Farzad, et al.. (2021). Improved Design of a Six-Phase Squirrel Cage Induction Motor With Pseudo-Concentrated Windings. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 3(4). 1187–1194. 7 indexed citations
4.
Kia, Shahin Hedayati, et al.. (2018). Contribution to wind turbine emulation based on wound rotor induction machine configuration. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
5.
Yazidi, A., et al.. (2017). Low speed six-phase induction generator model for wind turbines. 1–6. 2 indexed citations
7.
Kia, Shahin Hedayati, H. Henao, & Gérard‐André Capolino. (2015). Trends in gear fault detection using electrical signature analysis in induction machine-based systems. 297–303. 12 indexed citations
8.
Yazidi, A., et al.. (2014). Six-phase induction machine model for simulation and control purposes. 881–887. 12 indexed citations
9.
Kia, Shahin Hedayati, H. Henao, & Gérard‐André Capolino. (2013). Gear tooth surface damage fault profile identification using stator current space vector instantaneous frequency. 5482–5488. 5 indexed citations
10.
Delgado-Prieto, Miguel, Giansalvo Cirrincione, A. García, J. A. Ortega, & H. Henao. (2013). Dedicated hierarchy of neural networks applied to bearings degradation assessment. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 544–551. 10 indexed citations
11.
Delgado-Prieto, Miguel, Giansalvo Cirrincione, A. García, J. A. Ortega, & H. Henao. (2012). Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks. IEEE Transactions on Industrial Electronics. 60(8). 3398–3407. 383 indexed citations breakdown →
12.
Riera‐Guasp, M., et al.. (2012). Diagnosis of eccentricity in induction machines working under fluctuating load conditions, through the instantaneous frequency. Research Output (Edinburgh Napier University). 16 indexed citations
13.
Yazidi, A., H. Henao, Gérard‐André Capolino, & F. Bétin. (2010). Rotor inter-turn short circuit fault detection in wound rotor induction machines. 1–6. 25 indexed citations
14.
Henao, H., et al.. (2009). Load influence on induction machine torque and stator current in case of shaft misalignment. 3449–3454. 13 indexed citations
15.
16.
Kia, Shahin Hedayati, H. Henao, & Gérard‐André Capolino. (2007). Digital Signal Processing for Induction Machines Diagnosis - A Review. 1155–1162. 23 indexed citations
17.
Kia, Shahin Hedayati, H. Henao, & Gérard‐André Capolino. (2007). A High-Resolution Frequency Estimation Method for Three-Phase Induction Machine Fault Detection. IEEE Transactions on Industrial Electronics. 54(4). 2305–2314. 256 indexed citations
18.
Bacha, Khmais, Moncef Gossa, H. Henao, & Gérard‐André Capolino. (2006). Comparative Investigation of Diagnosis Media of Stator Voltage Asymmetry and Rotor Broken Bars in Induction Machines. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society. 5040–5045. 12 indexed citations
19.
Yazidi, A., H. Henao, Gérard‐André Capolino, et al.. (2005). Simulation of a doubly-fed induction machine for wind turbine generator fault analysis. 1–6. 21 indexed citations
20.
Kia, Shahin Hedayati, H. Henao, & Gérard‐André Capolino. (2005). Zoom-MUSIC frequency estimation method for three-phase induction machine fault detection. 6 pp.–6 pp.. 23 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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