J. Cusidó

2.4k total citations
93 papers, 1.9k citations indexed

About

J. Cusidó is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, J. Cusidó has authored 93 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Control and Systems Engineering, 44 papers in Mechanical Engineering and 27 papers in Electrical and Electronic Engineering. Recurrent topics in J. Cusidó's work include Machine Fault Diagnosis Techniques (44 papers), Gear and Bearing Dynamics Analysis (19 papers) and Fault Detection and Control Systems (17 papers). J. Cusidó is often cited by papers focused on Machine Fault Diagnosis Techniques (44 papers), Gear and Bearing Dynamics Analysis (19 papers) and Fault Detection and Control Systems (17 papers). J. Cusidó collaborates with scholars based in Spain, United States and Argentina. J. Cusidó's co-authors include L. Romeral, J. A. Ortega, Javier Rosero García, A. García, Lázaro V. Cremades, Cecilia Soriano, Jordi‐Roger Riba, Jordi Solé‐Casals, Pere Martí-Puig and J. J. Cárdenas and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Industrial Electronics and Renewable Energy.

In The Last Decade

J. Cusidó

89 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Cusidó Spain 25 1.1k 709 571 262 245 93 1.9k
Keith Pullen United Kingdom 21 541 0.5× 1.0k 1.4× 733 1.3× 200 0.8× 47 0.2× 77 2.0k
Hao Zhu China 24 263 0.2× 1.9k 2.6× 700 1.2× 94 0.4× 46 0.2× 43 3.3k
Riccardo Amirante Italy 27 549 0.5× 459 0.6× 1.1k 2.0× 51 0.2× 33 0.1× 107 2.5k
Hoseong Lee South Korea 36 498 0.5× 1.5k 2.1× 2.6k 4.6× 63 0.2× 472 1.9× 130 4.6k
Haibo Zhang China 20 355 0.3× 524 0.7× 298 0.5× 27 0.1× 51 0.2× 162 1.3k
Paolo Tamburrano Italy 23 387 0.4× 385 0.5× 737 1.3× 51 0.2× 25 0.1× 77 1.9k
Niranjan Sahoo India 25 257 0.2× 524 0.7× 395 0.7× 84 0.3× 29 0.1× 118 2.0k
Ssennoga Twaha United Kingdom 19 290 0.3× 823 1.2× 371 0.6× 72 0.3× 132 0.5× 26 2.2k
Elia Distaso Italy 23 322 0.3× 335 0.5× 632 1.1× 51 0.2× 26 0.1× 72 1.8k
Gen Li China 27 830 0.8× 2.2k 3.1× 222 0.4× 47 0.2× 42 0.2× 150 2.7k

Countries citing papers authored by J. Cusidó

Since Specialization
Citations

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

Fields of papers citing papers by J. Cusidó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Cusidó

This figure shows the co-authorship network connecting the top 25 collaborators of J. Cusidó. A scholar is included among the top collaborators of J. Cusidó 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 J. Cusidó. J. Cusidó 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.
Cusidó, J., et al.. (2025). Evaluating the Effectiveness of Large Language Models in Converting Clinical Data to FHIR Format. Applied Sciences. 15(6). 3379–3379.
2.
Cusidó, J., et al.. (2024). Evaluating the Performance of Large Language Models in Predicting Diagnostics for Spanish Clinical Cases in Cardiology. Applied Sciences. 15(1). 61–61. 2 indexed citations
3.
Cusidó, J., et al.. (2024). Assessing the Capability of Advanced AI Models in Cardiovascular Symptom Recognition: A Comparative Study. Applied Sciences. 14(18). 8440–8440. 3 indexed citations
4.
Martí-Puig, Pere, et al.. (2024). Wind turbine database for intelligent operation and maintenance strategies. Scientific Data. 11(1). 7 indexed citations
5.
Martí-Puig, Pere, et al.. (2023). Exploratory Analysis of SCADA Data from Wind Turbines Using the K-Means Clustering Algorithm for Predictive Maintenance Purposes. Machines. 11(2). 270–270. 15 indexed citations
6.
Anastasiadou, Dimitra, Frans Folkvord, Agostino Brugnera, et al.. (2020). An mHealth intervention for the treatment of patients with an eating disorder: A multicenter randomized controlled trial. International Journal of Eating Disorders. 53(7). 1120–1131. 30 indexed citations
7.
Álvarez‐Moya, Eva M., et al.. (2020). Development of a Mobile Application for People With Obesity. Journal of Nutrition Education and Behavior. 53(1). 79–83. 3 indexed citations
8.
Martí-Puig, Pere, et al.. (2019). A Text-Mining Approach to Assess the Failure Condition of Wind Turbines Using Maintenance Service History. Energies. 12(10). 1982–1982. 15 indexed citations
9.
Cusidó, J., et al.. (2015). Incorporation of paper sludge in clay brick formulation: Ten years of industrial experience. Applied Clay Science. 108. 191–198. 72 indexed citations
10.
Andrade, Fabio, J. Cusidó, & L. Romeral. (2011). Transient stability analysis of inverter-interfaced distributed generators in a microgrid system. European Conference on Power Electronics and Applications. 1–10. 15 indexed citations
11.
García, Javier Rosero, et al.. (2007). On the short-circuiting Fault Detection in a PMSM by means of Stator Current Transformations. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1936–1941. 50 indexed citations
12.
Cusidó, J., L. Romeral, A. García, Javier Rosero García, & J. A. Ortega. (2007). Fault detection in induction machines by using continuous and discrete wavelet decomposition. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–8. 9 indexed citations
13.
García, Javier Rosero, J. Cusidó, A. García, L. Romeral, & J. A. Ortega. (2007). Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 42. 1–6. 3 indexed citations
14.
García, Javier Rosero, J. Cusidó, A. García, J. A. Ortega, & L. Romeral. (2006). Study on the Permanent Magnet Demagnetization Fault in Permanent Magnet Synchronous Machines. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society. 879–884. 53 indexed citations
15.
Auer, Michael, et al.. (2006). 80C537 Microcontroller Remote Lab for E-Learning Teaching. 2(4). 17 indexed citations
16.
Cusidó, J., Javier Rosero García, J. A. Ortega, A. García, & L. Romeral. (2006). Induction Motor Fault Detection by using Wavelet decomposition on dq0 components. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 2406–2411. 26 indexed citations
17.
Cusidó, J., Javier Rosero García, L. Romeral, J. A. Ortega, & A. García. (2006). Fault detection in induction machines by using power spectral density on the wavelet decompositions. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–6. 12 indexed citations
18.
Cusidó, J., Javier Rosero García, E. Aldabas, J. A. Ortega, & L. Romeral. (2005). Fault detection techniques for induction motors. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 85–90. 6 indexed citations
19.
Cusidó, J., et al.. (2003). Gaseous emissions from ceramics manufactured with urban sewage sludge during firing processes. Waste Management. 23(3). 273–280. 64 indexed citations
20.
Cusidó, J., X. Obradors, J. Fontcuberta, et al.. (1987). CEMs and Faraday rotation study of γ-Fe2O3- Fe3O4films obtained by a new pyrolisis technique. IEEE Transactions on Magnetics. 23(1). 74–76. 6 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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