Rafael Kunst

1.4k total citations · 1 hit paper
39 papers, 910 citations indexed

About

Rafael Kunst is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Rafael Kunst has authored 39 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 15 papers in Electrical and Electronic Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Rafael Kunst's work include Advanced MIMO Systems Optimization (10 papers), Advanced Wireless Network Optimization (7 papers) and UAV Applications and Optimization (5 papers). Rafael Kunst is often cited by papers focused on Advanced MIMO Systems Optimization (10 papers), Advanced Wireless Network Optimization (7 papers) and UAV Applications and Optimization (5 papers). Rafael Kunst collaborates with scholars based in Brazil, United States and Australia. Rafael Kunst's co-authors include Edison Pignaton de Freitas, Jorge Luís Victória Barbosa, Alécio Pedro Delazari Binotto, Jovani Dalzochio, Jose Favilla, Juergen Rochol, Rodrigo da Rosa Righi, Cristiano André da Costa, Sérgio Bampi and Faezeh Pasandideh and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Rafael Kunst

33 papers receiving 857 citations

Hit Papers

Machine learning and reasoning for predictive maintenance... 2020 2026 2022 2024 2020 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
Rafael Kunst Brazil 13 276 196 186 186 138 39 910
Yanjun Shi China 17 133 0.5× 385 2.0× 151 0.8× 172 0.9× 94 0.7× 77 1.0k
Xisong Dong China 16 126 0.5× 130 0.7× 131 0.7× 188 1.0× 51 0.4× 68 777
Joshua Siegel United States 15 216 0.8× 89 0.5× 399 2.1× 233 1.3× 138 1.0× 53 1.2k
Isidro Calvo Spain 16 171 0.6× 126 0.6× 248 1.3× 293 1.6× 66 0.5× 94 801
Teodora Sanislav Romania 11 288 1.0× 82 0.4× 364 2.0× 110 0.6× 29 0.2× 30 832
Mohamed Kharbeche Qatar 15 106 0.4× 115 0.6× 105 0.6× 114 0.6× 72 0.5× 53 903
Shen Wang Ireland 15 269 1.0× 66 0.3× 422 2.3× 213 1.1× 178 1.3× 67 1.2k
Kai Gao China 17 106 0.4× 64 0.3× 205 1.1× 262 1.4× 62 0.4× 98 1.1k
Zdeněk Bradáč Czechia 13 160 0.6× 179 0.9× 176 0.9× 132 0.7× 25 0.2× 80 608
Gustavo Velasco-Hernandez Ireland 9 92 0.3× 70 0.4× 151 0.8× 141 0.8× 168 1.2× 14 867

Countries citing papers authored by Rafael Kunst

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Kunst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Kunst

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Kunst. A scholar is included among the top collaborators of Rafael Kunst 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 Rafael Kunst. Rafael Kunst 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.
Bavaresco, Rodrigo Simon, et al.. (2025). OntoKaire: an ontology-based reasoning for work-related stressors in industrial settings. JUCS - Journal of Universal Computer Science. 31(5). 445–468.
2.
Bavaresco, Rodrigo Simon, et al.. (2023). Data Science Methods and Tools for Industry 4.0: A Systematic Literature Review and Taxonomy. Sensors. 23(11). 5010–5010. 9 indexed citations
3.
Kunst, Rafael, et al.. (2023). Breast cancer dataset with biomarker Biglycan. Data in Brief. 47. 108978–108978. 5 indexed citations
4.
Dalzochio, Jovani, et al.. (2023). Predictive Maintenance in the Military Domain: A Systematic Review of the Literature. ACM Computing Surveys. 55(13s). 1–30. 8 indexed citations
5.
Dalzochio, Jovani, Rafael Kunst, Jorge Luís Victória Barbosa, Edison Pignaton de Freitas, & Alécio Pedro Delazari Binotto. (2023). MILPdM: A Predictive Maintenance Architecture for the Military Domain. 11. 2026–2032.
6.
Farias, Kleinner, et al.. (2023). On the prediction of source code design problems: A systematic mapping study. Journal of Applied Research and Technology. 21(3). 319–337. 1 indexed citations
7.
Kunst, Rafael, et al.. (2023). A machine learning pipeline for extracting decision-support features from traffic scenes1. AI Communications. 37(2). 189–201. 1 indexed citations
8.
Righi, Rodrigo da Rosa, et al.. (2022). On proposing an intelligent model for tracking agrochemicals. Internet Technology Letters. 7(6). 1 indexed citations
9.
Zonta, Tiago, Cristiano André da Costa, Felipe André Zeiser, et al.. (2022). A predictive maintenance model for optimizing production schedule using deep neural networks. Journal of Manufacturing Systems. 62. 450–462. 61 indexed citations
10.
Kunst, Rafael, et al.. (2022). Intelligent resource sharing to enable quality of service for network clients: the trade-off between accuracy and complexity. Computing. 104(5). 1219–1231. 5 indexed citations
11.
Kunst, Rafael, et al.. (2021). Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classification. SHILAP Revista de lepidopterología. 40. 107756–107756. 17 indexed citations
12.
Bavaresco, Rodrigo Simon, et al.. (2021). Industrial intelligence in the care of workers’ mental health: A review of status and challenges. International Journal of Industrial Ergonomics. 87. 103234–103234. 13 indexed citations
13.
Kunst, Rafael, et al.. (2021). Q-FANET: Improved Q-learning based routing protocol for FANETs. Computer Networks. 198. 108379–108379. 83 indexed citations
14.
15.
Dalzochio, Jovani, Rafael Kunst, Edison Pignaton de Freitas, et al.. (2020). Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges. Computers in Industry. 123. 103298–103298. 337 indexed citations breakdown →
16.
Rodrigues, Vinicius Facco, et al.. (2020). Exploring publish/subscribe, multilevel cloud elasticity, and data compression in telemedicine. Computer Methods and Programs in Biomedicine. 191. 105403–105403. 5 indexed citations
17.
Kunst, Rafael, Edison Pignaton de Freitas, Ting Zhou, & Honglin Hu. (2020). Application of future 6G technology to support heavy data traffic in highly mobile networks. 144–148. 13 indexed citations
18.
Kunst, Rafael, et al.. (2016). Improving QoS in multi-operator cellular networks. 1–8. 4 indexed citations
19.
Kunst, Rafael, et al.. (2016). Energy efficiency evaluation of the pulse shapes and modulation techniques for IR-UWB in WBANs. 173–176. 6 indexed citations
20.
Kunst, Rafael, Cristiano Bonato Both, Lisandro Zambenedetti Granville, & Juergen Rochol. (2011). On the impact of hybrid errors on mobile WiMAX networks. Computer Networks. 55(16). 3659–3671. 1 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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