Carlos Kamienski

2.5k total citations · 1 hit paper
115 papers, 1.7k citations indexed

About

Carlos Kamienski is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Carlos Kamienski has authored 115 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Networks and Communications, 31 papers in Information Systems and 29 papers in Electrical and Electronic Engineering. Recurrent topics in Carlos Kamienski's work include IoT and Edge/Fog Computing (43 papers), Cloud Computing and Resource Management (16 papers) and IoT Networks and Protocols (15 papers). Carlos Kamienski is often cited by papers focused on IoT and Edge/Fog Computing (43 papers), Cloud Computing and Resource Management (16 papers) and IoT Networks and Protocols (15 papers). Carlos Kamienski collaborates with scholars based in Brazil, Italy and Finland. Carlos Kamienski's co-authors include Djamel Sadok, Stênio Fernandes, Juha-Pekka Soininen, Tullio Salmon Cinotti, Rodrigo Filev Maia, Ramide Dantas, Judith Kelner, Attilio Toscano, Arthur Callado and André Torre Neto and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Access.

In The Last Decade

Carlos Kamienski

104 papers receiving 1.6k citations

Hit Papers

Smart Water Management Platform: IoT-Based Precision Irri... 2019 2026 2021 2023 2019 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
Carlos Kamienski Brazil 20 952 446 417 306 275 115 1.7k
Karan Singh India 25 1.2k 1.3× 374 0.8× 273 0.7× 669 2.2× 442 1.6× 226 2.5k
Sanmeet Kaur India 14 572 0.6× 251 0.6× 304 0.7× 216 0.7× 254 0.9× 29 1.2k
C. Rama Krishna India 18 626 0.7× 319 0.7× 277 0.7× 195 0.6× 322 1.2× 88 1.3k
Tullio Salmon Cinotti Italy 19 574 0.6× 153 0.3× 271 0.6× 416 1.4× 249 0.9× 79 1.4k
T. Umer Pakistan 23 782 0.8× 270 0.6× 255 0.6× 865 2.8× 273 1.0× 60 1.9k
Nen-Fu Huang Taiwan 18 762 0.8× 332 0.7× 246 0.6× 458 1.5× 133 0.5× 132 1.5k
Muhammad Intizar Ali Ireland 21 658 0.7× 507 1.1× 137 0.3× 273 0.9× 298 1.1× 93 1.9k
Ravi Kishore Kodali India 20 575 0.6× 128 0.3× 282 0.7× 883 2.9× 236 0.9× 118 1.7k
Imran Sarwar Bajwa Pakistan 24 312 0.3× 453 1.0× 230 0.6× 160 0.5× 598 2.2× 126 1.7k
Juha-Pekka Soininen Finland 17 1.4k 1.5× 122 0.3× 317 0.8× 617 2.0× 185 0.7× 74 2.1k

Countries citing papers authored by Carlos Kamienski

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Kamienski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Kamienski

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Kamienski. A scholar is included among the top collaborators of Carlos Kamienski 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 Carlos Kamienski. Carlos Kamienski 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.
Kamienski, Carlos, Ivan Zyrianoff, Luiz F. Bittencourt, & Marco Di Felice. (2024). IoTinuum: The IoT Computing Continuum. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 732–739. 6 indexed citations
2.
Kamienski, Carlos, et al.. (2024). 5G and edge: A reinforcement learning approach for Virtual Network Embedding with cost optimization and improved acceptance rate. Computer Networks. 247. 110434–110434. 4 indexed citations
3.
Felice, Marco Di, et al.. (2024). IoTDeploy: Deployment of IoT Smart Applications over the Computing Continuum. Internet of Things. 28. 101348–101348. 5 indexed citations
4.
Prati, Ronaldo C., et al.. (2023). Data-driven water need estimation for IoT-based smart irrigation: A survey. Expert Systems with Applications. 225. 120194–120194. 28 indexed citations
5.
Kleinschmidt, João Henrique, et al.. (2023). Otimização de Tráfego IoT-LoRaWAN Usando Programação de Plano de Dados em P4. 1 indexed citations
6.
Bittencourt, Luiz F., et al.. (2023). Drones in the Big City: Autonomous Collision Avoidance for Aerial Delivery Services. IEEE Transactions on Intelligent Transportation Systems. 25(5). 4657–4674. 7 indexed citations
7.
Kamienski, Carlos, et al.. (2022). Measuring Network Polarization and Political Sectarianism During the 2020 Pandemic. IEEE Transactions on Computational Social Systems. 10(3). 1356–1371. 3 indexed citations
8.
Bianchi, Reinaldo A. C., et al.. (2022). Data reduction based on machine learning algorithms for fog computing in IoT smart agriculture. Biosystems Engineering. 223. 142–158. 35 indexed citations
9.
Figueiredo, Gustavo B., et al.. (2022). B5GSim - Um Simulador para Redes Beyond 5G. 49–56.
10.
Prati, Ronaldo C., et al.. (2022). IoTracker: A probabilistic event tracking approach for data-intensive IoT Smart Applications. Internet of Things. 19. 100556–100556. 1 indexed citations
11.
Zyrianoff, Ivan, et al.. (2022). Interoperability and Scalability Trade-offs in Open IoT Platforms. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 9 indexed citations
12.
Prati, Ronaldo C., et al.. (2020). A Nearest Neighbors based Data Filter for Fog Computing in IoT Smart Agriculture. 63–67. 21 indexed citations
13.
Kamienski, Carlos, Marc Jentsch, Markus Eisenhauer, et al.. (2016). Application development for the Internet of Things: A context-aware mixed criticality systems development platform. Computer Communications. 104. 1–16. 40 indexed citations
14.
Pramudianto, Ferry, Markus Eisenhauer, Carlos Kamienski, Djamel Sadok, & Eduardo Souto. (2016). Connecting the Internet of Things rapidly through a model driven approach. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 135–140. 6 indexed citations
15.
Fernandes, Stênio, Carlos Kamienski, Djamel Sadok, et al.. (2012). Deep packet inspection tools and techniques in commodity platforms: Challenges and trends. Journal of Network and Computer Applications. 35(6). 1863–1878. 45 indexed citations
16.
Kamienski, Carlos, et al.. (2011). Unleashing the power of policies for service-oriented computing. 446–450. 1 indexed citations
17.
Callado, Arthur, Carlos Kamienski, Géza Szabó, et al.. (2009). A Survey on Internet Traffic Identification. IEEE Communications Surveys & Tutorials. 11(3). 37–52. 270 indexed citations
18.
Dantas, Ramide, et al.. (2008). Effective implementation of network composition for ambient networks. 847–850. 2 indexed citations
19.
Kamienski, Carlos & Djamel Sadok. (2001). Chameleon: an Architecture for Advanced End to End Services.. 245–256. 2 indexed citations
20.
Kamienski, Carlos & Djamel Sadok. (2000). Qualidade de Serviço na Internet. 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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