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How has Thomas André Prola's publication output changed over time?
ScholarIQpublication output · 2021–2026
Output grew0% over the shown period — from 1 works in 2021 to 1 in 2026.
1
2
6
1
2021202320242026
What are the most-cited papers on Thomas André Prola?
ScholarIQmost cited works
Blockchain-Based Lightweight Authentication Protocol for Next-Generation Trustworthy Internet of Vehicles Communication
Avaneesh Singh, Preeti Rani, Janjhyam Venkata Naga Ramesh, Shashikant V. Athawale, Ahmed Alkhayyat, Arwa N. Aledaily, Thomas André Prola, Rohit Sharma
S126824455. 202476 Citations
Resource-efficient federated learning over IoAT for rice leaf disease classification
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, Thomas André Prola
Computers and Electronics in Agriculture. 202455 Citations
Federated Learning on Internet of Things: Extensive and Systematic Review
Meenakshi Aggarwal, Vikas Khullar, Sunita Rani, Thomas André Prola, Shyama Barna Bhattacharjee, Sarowar Morshed Shawon, Nitin Goyal
Computers, materials & continua/Computers, materials & continua (Print). 202428 CitationsOPEN ACCESS
Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight
Antonio Ferreras, Sandra Cano, Rosmeri Martínez‐Licort, Iñaki Elío, Kilian Tutusaus Pifarré, Thomas André Prola, Juan Luís Vidal Mazón, Benjamín Sahelices, Isabel de la Torre Díez
Journal of Medical Systems. 202322 Citations
Retracted: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential
Azhar Jamil, Saif Ur Rehman, Khalid Mahmood, Mónica Gracia Villar, Thomas André Prola, Isabel de la Torre Díez, Md Abdus Samad, Imran Ashraf
IEEE Access. 202415 CitationsOPEN ACCESS
Related on ScholarIQ
Universidad Europea del Atlántico
Institution
Blockchain-Based Lightweight Authentication Protocol for Next-Generation Trustworthy Internet of Vehicles Communication
Paper
Resource-efficient federated learning over IoAT for rice leaf disease classification
Paper
Federated Learning on Internet of Things: Extensive and Systematic Review
Paper
Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight
Paper
Retracted: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential
Paper