Lauri Lovén
Impact in
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- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
Papers in
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- IoT and Edge/Fog Computing 18
- Energy Efficient Wireless Sensor Networks 3
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- IoT Networks and Protocols 4
- Green IT and Sustainability 4
- Co-authors
- Jukka Riekki (11 shared papers)Erkki Harjula (7 shared papers)Susanna Pirttikangas (21 shared papers)Mika Ylianttila (3 shared papers)Ella Peltonen (11 shared papers)Juha Partala (2 shared papers)Teemu Leppänen (8 shared papers)Mikko J. Sillanpää (5 shared papers)
In The Last Decade
Lauri Lovén
33 papers receiving 658 citations
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 325
- Information Systems 147
- Applied Psychology 23
- Environmental Engineering 52
- Electrical and Electronic Engineering 209
Countries citing papers authored by Lauri Lovén
This map shows the geographic impact of Lauri Lovén'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 Lauri Lovén with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauri Lovén more than expected).
Fields of papers citing papers by Lauri Lovén
This network shows the impact of papers produced by Lauri Lovén. 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 Lauri Lovén. The network helps show where Lauri Lovén may publish in the future.
Co-authors
The 25 scholars most cited alongside Lauri Lovén, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | EdgeAI : a vision for distributed, edge-native artificial intelligence in future 6G networks | 2019 | 74 |
| 3 | 2020 | 74 | |
| 4 | 2021 | 71 | |
| 5 | 2018 | 58 | |
| 6 | 2023 | 46 | |
| 7 | 2023 | 39 | |
| 8 | 2020 | 28 | |
| 9 | 2024 | 26 | |
| 10 | 2022 | 22 | |
| 11 | 2023 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2018 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2022 | 8 |
About Lauri Lovén
Lauri Lovén is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 678 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), Privacy-Preserving Technologies in Data (4 papers), Context-Aware Activity Recognition Systems (4 papers), IoT Networks and Protocols (4 papers), Air Quality Monitoring and Forecasting (4 papers), Green IT and Sustainability (4 papers), Digital Transformation in Industry (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (325 citations), Information Systems (147 citations), Applied Psychology (23 citations), Environmental Engineering (52 citations) and Electrical and Electronic Engineering (209 citations). Lauri Lovén has collaborated with scholars based in Finland, Austria and Sweden. Frequent co-authors include Jukka Riekki, Erkki Harjula, Susanna Pirttikangas, Mika Ylianttila, Ella Peltonen, Juha Partala, Teemu Leppänen, Mikko J. Sillanpää, Tri Nguyen and Tahar Kechadi. Their work appears in journals such as IEEE Access, IEEE Internet Computing, Computer, IEEE Internet of Things Journal and Sensors.
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.