Miguel Saez

408 total citations
13 papers, 292 citations indexed

About

Miguel Saez is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Miguel Saez has authored 13 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Industrial and Manufacturing Engineering, 4 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Miguel Saez's work include Flexible and Reconfigurable Manufacturing Systems (5 papers), Manufacturing Process and Optimization (4 papers) and Scheduling and Optimization Algorithms (3 papers). Miguel Saez is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (5 papers), Manufacturing Process and Optimization (4 papers) and Scheduling and Optimization Algorithms (3 papers). Miguel Saez collaborates with scholars based in United States and Japan. Miguel Saez's co-authors include Kira Barton, Dawn M. Tilbury, Francisco Maturana, Ilya Kovalenko, Zeyu Mao, Yuru Shao, Efe C. Balta, James Moyne, Patrick T. Spicer and Jeffrey A. Abell and has published in prestigious journals such as Journal of Manufacturing Systems, IEEE Transactions on Automation Science and Engineering and IEEE Robotics and Automation Letters.

In The Last Decade

Miguel Saez

13 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miguel Saez United States	9	150	62	46	41	41	13	292
Hossein Akbaripour Iran	8	156 1.0×	43 0.7×	55 1.2×	35 0.9×	14 0.3×	16	320
Marc Priggemeyer Germany	4	300 2.0×	65 1.0×	20 0.4×	54 1.3×	22 0.5×	11	426
Elena Quatrini Italy	6	152 1.0×	81 1.3×	44 1.0×	24 0.6×	13 0.3×	9	338
Matthias Brossog Germany	8	258 1.7×	96 1.5×	20 0.4×	20 0.5×	27 0.7×	16	407
Szilárd Jaskó Hungary	8	255 1.7×	31 0.5×	21 0.5×	33 0.8×	38 0.9×	19	381
Clint Saidy United States	6	245 1.6×	24 0.4×	18 0.4×	27 0.7×	23 0.6×	8	361
Jinkang Guo China	7	123 0.8×	30 0.5×	23 0.5×	29 0.7×	15 0.4×	14	268
Yassine Qamsane United States	9	304 2.0×	66 1.1×	29 0.6×	37 0.9×	10 0.2×	17	411
Stamatis Voliotis Greece	5	109 0.7×	81 1.3×	51 1.1×	65 1.6×	14 0.3×	11	315
Marcus Bengtsson Sweden	11	112 0.7×	81 1.3×	28 0.6×	30 0.7×	11 0.3×	43	357

Countries citing papers authored by Miguel Saez

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Saez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Saez

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Saez. A scholar is included among the top collaborators of Miguel Saez 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 Miguel Saez. Miguel Saez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Saez, Miguel, et al.. (2023). Opportunities and challenges in applying reinforcement learning to robotic manipulation: An industrial case study. Manufacturing Letters. 35. 1019–1030. 1 indexed citations

Saez, Miguel, et al.. (2023). Full Stack Virtual Commissioning: Requirements Framework to Bridge Gaps in Current Virtual Commissioning Process. 2 indexed citations

Saez, Miguel, Kira Barton, Francisco Maturana, & Dawn M. Tilbury. (2021). Modeling framework to support decision making and control of manufacturing systems considering the relationship between productivity, reliability, quality, and energy consumption. Journal of Manufacturing Systems. 62. 925–938. 31 indexed citations

Saez, Miguel & Patrick T. Spicer. (2020). Robot-to-Robot Collaboration for Fixtureless Assembly: Challenges and Opportunities in the Automotive Industry. 1 indexed citations

Saez, Miguel, Francisco Maturana, Kira Barton, & Dawn M. Tilbury. (2019). Context-Sensitive Modeling and Analysis of Cyber-Physical Manufacturing Systems for Anomaly Detection and Diagnosis. IEEE Transactions on Automation Science and Engineering. 17(1). 29–40. 30 indexed citations

Saez, Miguel, Francisco Maturana, Kira Barton, & Dawn M. Tilbury. (2018). Real-Time Manufacturing Machine and System Performance Monitoring Using Internet of Things. IEEE Transactions on Automation Science and Engineering. 15(4). 1735–1748. 81 indexed citations

Saez, Miguel, et al.. (2018). A Data Transformation Adapter for Smart Manufacturing Systems with Edge and Cloud Computing Capabilities. 519–524. 9 indexed citations

Kovalenko, Ilya, Miguel Saez, Kira Barton, & Dawn M. Tilbury. (2017). SMART: A System-Level Manufacturing and Automation Research Testbed. 1(1). 232–262. 26 indexed citations

Saez, Miguel, Francisco Maturana, Kira Barton, & Dawn M. Tilbury. (2017). Anomaly detection and productivity analysis for cyber-physical systems in manufacturing. 23–29. 18 indexed citations

10.

Saez, Miguel, Yuru Shao, Efe C. Balta, et al.. (2017). Categorization of Anomalies in Smart Manufacturing Systems to Support the Selection of Detection Mechanisms. IEEE Robotics and Automation Letters. 2(4). 1885–1892. 48 indexed citations

11.

Kovalenko, Ilya, et al.. (2017). Manufacturing Choices for Ankle-Foot Orthoses: A Multi-objective Optimization. Procedia CIRP. 65. 145–150. 35 indexed citations

12.

Saez, Miguel, Francisco Maturana, Kira Barton, & Dawn M. Tilbury. (2015). Real-time hybrid simulation of manufacturing systems for performance analysis and control. 526–531. 8 indexed citations

13.

Saez, Miguel, et al.. (2012). The pre-conceptual design of the nuclear island of ASTRID. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 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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