Greyce N. Schroeder

987 total citations · 1 hit paper
17 papers, 696 citations indexed

About

Greyce N. Schroeder is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Greyce N. Schroeder has authored 17 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 8 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Greyce N. Schroeder's work include Digital Transformation in Industry (10 papers), IoT and Edge/Fog Computing (8 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). Greyce N. Schroeder is often cited by papers focused on Digital Transformation in Industry (10 papers), IoT and Edge/Fog Computing (8 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). Greyce N. Schroeder collaborates with scholars based in Brazil, Germany and United States. Greyce N. Schroeder's co-authors include Charles Steinmetz, Carlos Eduardo Pereira, Danúbia B. Espíndola, Ricardo N. Rodrigues, Achim Rettberg, Renato Ventura Bayan Henriques, Ivan Müller, Achim Rettberg, Alécio Pedro Delazari Binotto and Bernd Hellingrath and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Emerging Topics in Computing and IFAC-PapersOnLine.

In The Last Decade

Greyce N. Schroeder

15 papers receiving 665 citations

Hit Papers

Digital Twin Data Modeling with AutomationML and a Commun... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Digital Twin Data Modeling with AutomationML and a Communication Methodology for Data Exchange
    2016 348 citations Greyce N. Schroeder, Charles Steinmetz et al. IFAC-PapersOnLine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greyce N. Schroeder Brazil 8 574 96 88 83 46 17 696
Charles Steinmetz Brazil 8 571 1.0× 96 1.0× 91 1.0× 83 1.0× 46 1.0× 15 692
Danúbia B. Espíndola Brazil 9 456 0.8× 69 0.7× 66 0.8× 73 0.9× 35 0.8× 34 670
Feng Xiang China 14 503 0.9× 81 0.8× 101 1.1× 69 0.8× 87 1.9× 49 808
Sebastian Haag Germany 8 402 0.7× 44 0.5× 46 0.5× 48 0.6× 32 0.7× 31 612
Douxi Yan China 7 811 1.4× 135 1.4× 175 2.0× 77 0.9× 74 1.6× 11 1.1k
George Lo United States 8 756 1.3× 71 0.7× 80 0.9× 125 1.5× 58 1.3× 18 1.0k
Boyang Song China 3 600 1.0× 36 0.4× 70 0.8× 129 1.6× 83 1.8× 6 812
Kendrik Yan Hong Lim Singapore 6 498 0.9× 41 0.4× 42 0.5× 94 1.1× 53 1.2× 12 690
Kurt Dirk Bettenhausen Germany 4 753 1.3× 67 0.7× 80 0.9× 125 1.5× 58 1.3× 14 978
Scott Lucero United States 2 410 0.7× 66 0.7× 68 0.8× 113 1.4× 39 0.8× 4 622

Countries citing papers authored by Greyce N. Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Greyce N. Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greyce N. Schroeder. 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 Greyce N. Schroeder. The network helps show where Greyce N. Schroeder may publish in the future.

Co-authorship network of co-authors of Greyce N. Schroeder

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

All Works

17 of 17 papers shown
1.
Steinmetz, Charles, et al.. (2023). Semantische digitale Zwillinge. atp magazin. 65(5). 69–77. 1 indexed citations
2.
Steinmetz, Charles, Greyce N. Schroeder, Alécio Pedro Delazari Binotto, et al.. (2022). Digital Twins modeling and simulation with Node-RED and Carla. IFAC-PapersOnLine. 55(19). 97–102. 4 indexed citations
3.
Steinmetz, Charles, et al.. (2022). A methodology for creating semantic digital twin models supported by knowledge graphs. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). 1–7. 8 indexed citations
4.
Schroeder, Greyce N., Charles Steinmetz, Ricardo N. Rodrigues, Achim Rettberg, & Carlos Eduardo Pereira. (2021). Digital Twin connectivity topologies. IFAC-PapersOnLine. 54(1). 737–742. 4 indexed citations
5.
Steinmetz, Charles, Greyce N. Schroeder, Achim Rettberg, Ricardo N. Rodrigues, & Carlos Eduardo Pereira. (2021). Enabling and supporting car-as-a-service by digital twin modeling and deployment. 428–433. 5 indexed citations
6.
Steinmetz, Charles, Greyce N. Schroeder, Ricardo N. Rodrigues, Achim Rettberg, & Carlos Eduardo Pereira. (2021). Key-Components for Digital Twin Modeling With Granularity: Use Case Car-as-a-Service. IEEE Transactions on Emerging Topics in Computing. 10(1). 23–33. 13 indexed citations
7.
Schroeder, Greyce N., Charles Steinmetz, Ricardo N. Rodrigues, et al.. (2020). A Methodology for Digital Twin Modeling and Deployment for Industry 4.0. Proceedings of the IEEE. 109(4). 556–567. 132 indexed citations
8.
Schroeder, Greyce N.. (2018). Metodologia de modelagem e arquitetura de referência do Digital Twin em sistemas ciber físicos industriais usando AutomationML. Americanae (AECID Library). 1 indexed citations
9.
10.
Steinmetz, Charles, et al.. (2018). Internet of Things Ontology for Digital Twin in Cyber Physical Systems. 154–159. 49 indexed citations
11.
Steinmetz, Charles, et al.. (2017). Ontology-driven IoT code generation for FIWARE. 38–43. 15 indexed citations
12.
Schroeder, Greyce N., Charles Steinmetz, Carlos Eduardo Pereira, et al.. (2016). Visualising the digital twin using web services and augmented reality. 522–527. 93 indexed citations
13.
Schroeder, Greyce N., Charles Steinmetz, Carlos Eduardo Pereira, & Danúbia B. Espíndola. (2016). Digital Twin Data Modeling with AutomationML and a Communication Methodology for Data Exchange. IFAC-PapersOnLine. 49(30). 12–17. 348 indexed citations breakdown →
14.
Schroeder, Greyce N., et al.. (2015). Simulador gráfico para controle de robôs móveis omnidirecionais. Americanae (AECID Library).
15.
Botelho, Sílvia Silva da Costa, et al.. (2013). Human Computer Interface (HCI) for Intelligent Maintenance Systems (IMS). World Congress on Engineering. 1 indexed citations
16.
17.
Rodrigues, Ricardo N., Greyce N. Schroeder, Jason J. Corso, & Venu Govindaraju. (2009). Unconstrained face recognition using MRF priors and manifold traversing. 48. 1–6. 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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