Marco A. Wehrmeister

870 total citations
49 papers, 436 citations indexed

About

Marco A. Wehrmeister is a scholar working on Artificial Intelligence, Hardware and Architecture and Software. According to data from OpenAlex, Marco A. Wehrmeister has authored 49 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 21 papers in Hardware and Architecture and 14 papers in Software. Recurrent topics in Marco A. Wehrmeister's work include Real-Time Systems Scheduling (21 papers), Advanced Software Engineering Methodologies (21 papers) and Model-Driven Software Engineering Techniques (14 papers). Marco A. Wehrmeister is often cited by papers focused on Real-Time Systems Scheduling (21 papers), Advanced Software Engineering Methodologies (21 papers) and Model-Driven Software Engineering Techniques (14 papers). Marco A. Wehrmeister collaborates with scholars based in Brazil, Germany and Sweden. Marco A. Wehrmeister's co-authors include Carlos Eduardo Pereira, Edison Pignaton de Freitas, Franz J. Rammig, Flávio Rech Wagner, Éric Levrat, Alécio Pedro Delazari Binotto, Leandro Buss Becker, André Schneider de Oliveira, José Lima and Tony Larsson and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Marco A. Wehrmeister

46 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco A. Wehrmeister Brazil 10 156 136 114 97 81 49 436
Huafeng Yu United States 12 68 0.4× 140 1.0× 66 0.6× 63 0.6× 32 0.4× 39 400
Juan A. de la Puente Spain 10 106 0.7× 291 2.1× 52 0.5× 147 1.5× 50 0.6× 93 435
Gerardo Pardo-Castellote United States 9 93 0.6× 103 0.8× 21 0.2× 280 2.9× 85 1.0× 17 490
Shuai Zhao China 12 48 0.3× 145 1.1× 31 0.3× 154 1.6× 33 0.4× 56 381
Hongjun Choi South Korea 11 222 1.4× 104 0.8× 22 0.2× 281 2.9× 92 1.1× 50 549
Chih‐Hong Cheng Germany 11 124 0.8× 27 0.2× 59 0.5× 22 0.2× 36 0.4× 31 311
Alex Brooks Australia 11 201 1.3× 61 0.4× 24 0.2× 138 1.4× 63 0.8× 21 452
Zhengjun Zhai China 10 36 0.2× 38 0.3× 62 0.5× 33 0.3× 37 0.5× 58 300

Countries citing papers authored by Marco A. Wehrmeister

Since Specialization
Citations

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

Fields of papers citing papers by Marco A. Wehrmeister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco A. Wehrmeister. 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 Marco A. Wehrmeister. The network helps show where Marco A. Wehrmeister may publish in the future.

Co-authorship network of co-authors of Marco A. Wehrmeister

This figure shows the co-authorship network connecting the top 25 collaborators of Marco A. Wehrmeister. A scholar is included among the top collaborators of Marco A. Wehrmeister 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 Marco A. Wehrmeister. Marco A. Wehrmeister 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.
Wehrmeister, Marco A., et al.. (2025). Educational process mining: literature classification, gaps, and emerging opportunities. Frontiers in Education. 10.
2.
Nassu, Bogdan Tomoyuki, et al.. (2023). Image-Based Detection of Modifications in Assembled PCBs with Deep Convolutional Autoencoders. Sensors. 23(3). 1353–1353. 6 indexed citations
3.
Wehrmeister, Marco A., et al.. (2021). Real-Time Performance Evaluation for Robotics. Journal of Intelligent & Robotic Systems. 101(2). 3 indexed citations
4.
5.
Wehrmeister, Marco A., et al.. (2020). Honeycomb Map: A Bioinspired Topological Map for Indoor Search and Rescue Unmanned Aerial Vehicles. Sensors. 20(3). 907–907. 9 indexed citations
6.
Oliveira, André Schneider de, et al.. (2019). Real-Time Systems Evaluation for Robotics Using the Hart-ROS Benchmark. 290–295. 2 indexed citations
7.
Wehrmeister, Marco A., et al.. (2017). Systematic Literature Review on Automotive Diagnostics. 1–8. 3 indexed citations
8.
Wehrmeister, Marco A., et al.. (2014). Aspect-Oriented Model-Driven Engineering for FPGA/VHDL Based Embedded Real-Time Systems. 261–268. 3 indexed citations
9.
Wehrmeister, Marco A., et al.. (2014). On Generating VHDL Descriptions from Aspect-Oriented UML/MARTE Models. 67–72. 1 indexed citations
10.
Wehrmeister, Marco A., Carlos Eduardo Pereira, & Franz J. Rammig. (2013). Aspect-Oriented Model-Driven Engineering for Embedded Systems Applied to Automation Systems. IEEE Transactions on Industrial Informatics. 9(4). 2373–2386. 35 indexed citations
11.
Wehrmeister, Marco A., et al.. (2013). AMoDE-RT: Advancing Model-Driven Engineering for embedded real-time systems. 1–7. 2 indexed citations
12.
Binotto, Alécio Pedro Delazari, Marco A. Wehrmeister, Arjan Kuijper, & Carlos Eduardo Pereira. (2012). Sm@rtConfig: A context-aware runtime and tuning system using an aspect-oriented approach for data intensive engineering applications. Control Engineering Practice. 21(2). 204–217. 9 indexed citations
13.
Freitas, Edison Pignaton de, Marco A. Wehrmeister, Armando Morado Ferreira, Carlos Eduardo Pereira, & Tony Larsson. (2009). Multi-agents supporting reflection in a middleware for mission-driven heterogeneous sensor networks. Hogskolan Ihalmstad (Halmstad University). 25–32. 5 indexed citations
14.
Freitas, Edison Pignaton de, Marco A. Wehrmeister, Carlos Eduardo Pereira, & Tony Larsson. (2008). Using Aspects and Component Concepts to Improve Reuse of Software for Embedded Systems Product Lines.. 105–112. 4 indexed citations
15.
Wehrmeister, Marco A., Edison Pignaton de Freitas, Carlos Eduardo Pereira, & Franz J. Rammig. (2008). GenERTiCA: A Tool for Code Generation and Aspects Weaving. 234–238. 25 indexed citations
16.
Wehrmeister, Marco A., Edison Pignaton de Freitas, Dalimir Orfanus, Carlos Eduardo Pereira, & Franz J. Rammig. (2008). Evaluating Aspect- and Object-Oriented Concepts to Model Distributed Embedded Real-Time Systems Using RT-UML. IFAC Proceedings Volumes. 41(2). 6885–6890. 4 indexed citations
17.
Wehrmeister, Marco A., Carlos Eduardo Pereira, & Leandro Buss Becker. (2006). Optimizing the Generation of Object-Oriented Real-Time Embedded Applications Based on the Real-Time Specification for Java. 184. 1–6. 9 indexed citations
18.
Wehrmeister, Marco A., et al.. (2006). Design Exploration in Hw/Sw Co-design of Real-Time Object-oriented Embedded Systems: the Scheduler Object. 20. 378–388. 4 indexed citations
19.
Becker, Leandro Buss, Marco A. Wehrmeister, & Carlos Eduardo Pereira. (2004). Power and performance tuning in the synthesis of real-time scheduling algorithms for embedded applications. 169–174. 1 indexed citations
20.
Binotto, Alécio Pedro Delazari, Edison Pignaton de Freitas, Marco A. Wehrmeister, et al.. (2001). Towards Task Dynamic Reconfiguration over Asymmetric Computing Platforms for UAVs Surveillance Systems. Scalable Computing Practice and Experience. 10(3). 4 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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