José Barata

6.5k total citations · 3 hit papers
234 papers, 3.5k citations indexed

About

José Barata is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Computer Vision and Pattern Recognition. According to data from OpenAlex, José Barata has authored 234 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Industrial and Manufacturing Engineering, 48 papers in Management of Technology and Innovation and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in José Barata's work include Flexible and Reconfigurable Manufacturing Systems (109 papers), Digital Transformation in Industry (49 papers) and Manufacturing Process and Optimization (45 papers). José Barata is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (109 papers), Digital Transformation in Industry (49 papers) and Manufacturing Process and Optimization (45 papers). José Barata collaborates with scholars based in Portugal, Sweden and Germany. José Barata's co-authors include Ricardo Silva Peres, Armando Walter Colombo, Mauro Onori, Pedro Santana, Luís Ribeiro, Paulo Leitão, Gonçalo Cândido, André Dionísio Rocha, Luís M. Camarinha-Matos and François Jammes and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

José Barata

219 papers receiving 3.3k citations

Hit Papers

Industrial Artificial Intelligence in Industry 4.0 - Syst... 2020 2026 2022 2024 2020 2021 2023 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
José Barata Portugal 27 1.8k 458 413 393 387 234 3.5k
Rakesh Nagi United States 29 1.9k 1.0× 421 0.9× 396 1.0× 393 1.0× 281 0.7× 173 3.6k
Shimon Y. Nof United States 32 2.0k 1.1× 611 1.3× 158 0.4× 246 0.6× 414 1.1× 245 3.7k
Xifan Yao China 24 1.4k 0.8× 300 0.7× 189 0.5× 372 0.9× 190 0.5× 113 2.5k
Bernd Scholz‐Reiter Germany 25 1.8k 1.0× 208 0.5× 214 0.5× 379 1.0× 360 0.9× 156 2.8k
Christiaan J. J. Paredis United States 32 789 0.4× 474 1.0× 306 0.7× 440 1.1× 1.1k 2.8× 171 3.3k
Paulo Leitão Portugal 33 3.9k 2.2× 626 1.4× 188 0.5× 456 1.2× 1.1k 2.7× 286 6.0k
Qiang Liu China 28 3.0k 1.7× 254 0.6× 154 0.4× 293 0.7× 319 0.8× 156 4.9k
Lei Ren China 38 2.2k 1.2× 433 0.9× 477 1.2× 867 2.2× 1.4k 3.7× 150 6.1k
Young‐Jun Son United States 35 862 0.5× 120 0.3× 353 0.9× 386 1.0× 491 1.3× 226 4.1k
József Váncza Hungary 27 2.1k 1.2× 539 1.2× 176 0.4× 188 0.5× 433 1.1× 109 3.3k

Countries citing papers authored by José Barata

Since Specialization
Citations

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

Fields of papers citing papers by José Barata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Barata

This figure shows the co-authorship network connecting the top 25 collaborators of José Barata. A scholar is included among the top collaborators of José Barata 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 José Barata. José Barata 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.
Martínez-Arellano, Giovanna, et al.. (2024). Immune system inspired smart maintenance framework: tool wear monitoring use case. The International Journal of Advanced Manufacturing Technology. 132(9-10). 4699–4721. 2 indexed citations
2.
Araújo, Sara Oleiro, et al.. (2024). Machine Learning Applications in Manufacturing—Challenges, Trends, and Future Directions. IEEE Open Journal of the Industrial Electronics Society. 5. 1085–1103. 7 indexed citations
3.
Daoudagh, Said, Eda Marchetti, Antonello Calabrò, et al.. (2023). DAEMON: A Domain-Based Monitoring Ontology for IoT Systems. SN Computer Science. 4(5).
4.
Peres, Ricardo Silva, et al.. (2023). Implementing Privacy-Preserving and Collaborative Industrial Artificial Intelligence. IEEE Access. 11. 74579–74589. 4 indexed citations
5.
Rehman, Hamood Ur, et al.. (2023). Agent-based manufacturing — review and expert evaluation. The International Journal of Advanced Manufacturing Technology. 127(5-6). 2151–2180. 13 indexed citations
6.
Araújo, Sara Oleiro, et al.. (2023). Intelligent Data-Driven Decision Support for Agricultural Systems-ID3SAS. IEEE Access. 11. 115798–115815. 13 indexed citations
7.
Barata, José, et al.. (2022). Conceptual framework for smart maintenance based on distributed intelligence. IFAC-PapersOnLine. 55(19). 121–126. 2 indexed citations
8.
Rocha, André Dionísio, et al.. (2021). Application of a Simulation-Based Digital Twin for Predicting Distributed Manufacturing Control System Performance. Applied Sciences. 11(5). 2202–2202. 20 indexed citations
9.
Mabkhot, Mohammed M., Pedro Ferreira, Antonio Maffei, et al.. (2021). Mapping Industry 4.0 Enabling Technologies into United Nations Sustainability Development Goals. Sustainability. 13(5). 2560–2560. 87 indexed citations
10.
Nikghadam-Hojjati, Sanaz, et al.. (2021). Feeling Smart Industry. 1–6. 3 indexed citations
11.
Barata, José, et al.. (2020). Fantasia Sul América para saxofone solo, processos de assimilação e incorporação de repertório. SHILAP Revista de lepidopterología. 8(2). 1–16.
12.
Barata, José, et al.. (2017). Holistic Context-Sensitivity for Run-Time Optimization of Flexible Manufacturing Systems. Sensors. 17(3). 455–455. 17 indexed citations
13.
Silva, André, Francisco Marques, Paulo Rodrigues, et al.. (2016). Sediment Sampling in Estuarine Mudflats with an Aerial-Ground Robotic Team. Sensors. 16(9). 1461–1461. 8 indexed citations
14.
Barata, José. (2015). Inovação e desenvolvimento tecnológico : conceitos, modelos e medidas : pistas para a investigação aplicada. University of Lisbon Repository (University of Lisbon).
15.
Orio, Giovanni Di, Gonçalo Cândido, & José Barata. (2014). Self-Learning Production Systems: A New Production Paradigm. 7(2). 887. 3 indexed citations
16.
Ribeiro, Luı́s, André Dionísio Rocha, & José Barata. (2012). Proceedings IECON 2012 : 38th Annual Conference on IEEE Industrial Electronics Society, Ecole de Technologie Superieure de Montreal, Universite du Quebec Montreal, Canada 25-28 October, 2012. 4342–4347. 1 indexed citations
17.
Onori, Mauro, Antonio Maffei, & José Barata. (2008). Evolvable Assembly Systems : Latest Developments. 3 indexed citations
18.
Barata, José, Mauro Onori, Regina Frei, & Paulo Leitão. (2007). Evolvable production systems: enabling research domains. University of the Arts London Research Online (University of the Arts London). 20 indexed citations
19.
Barata, José & Luís M. Camarinha-Matos. (2002). Shop floor re-engineering using agents. International Symposium on Robotics. 635–640. 4 indexed citations
20.
Barata, José, et al.. (1996). Integration and Multiagent supervision of flexible manufacturing systems. Mechatronics. 185–190. 5 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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