Carlos Kamienski
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- IoT and Edge/Fog Computing 43
- Caching and Content Delivery 15
- Peer-to-Peer Network Technologies 14
- Water Science and Technology top 5%
- Water Quality Monitoring Technologies 12
- Artificial Intelligence top 5%
- Information Systems top 2%
- Cloud Computing and Resource Management 16
- Plant Science top 5%
- Smart Agriculture and AI 12
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- IoT Networks and Protocols 15
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- Context-Aware Activity Recognition Systems 12
Carlos Kamienski
104 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Networks and Communications 952
- Water Science and Technology 239
- Artificial Intelligence 446
- Information Systems 275
- Plant Science 417
Countries citing papers authored by Carlos Kamienski
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
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
The 25 scholars most cited alongside Carlos Kamienski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 35 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 0 | |
| 13 | 2021 | 10 | |
| 14 | 2018 | 21 | |
| 15 | 2016 | 40 | |
| 16 | 2011 | 1 | |
| 17 | Performance evaluation of P2P VoIP applications | 2007 | 13 |
| 18 | 2006 | 1 | |
| 19 | Chameleon: an Architecture for Advanced End to End Services. | 2001 | 2 |
| 20 | Qualidade de Serviço na Internet | 2000 | 2 |
About Carlos Kamienski
Carlos Kamienski is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 115 papers that have together received 1.7k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (43 papers), Cloud Computing and Resource Management (16 papers), IoT Networks and Protocols (15 papers), Caching and Content Delivery (15 papers), Peer-to-Peer Network Technologies (14 papers), Smart Agriculture and AI (12 papers), Context-Aware Activity Recognition Systems (12 papers) and Water Quality Monitoring Technologies (12 papers). The work is most often cited by research in Computer Networks and Communications (952 citations), Water Science and Technology (239 citations) and Artificial Intelligence (446 citations). Carlos Kamienski has collaborated with scholars based in Brazil, Italy and Finland. Frequent 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. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Access.
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.