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 20
- Energy Efficient Wireless Sensor Networks 3
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- IoT Networks and Protocols 4
- Green IT and Sustainability 4
- Co-authors
- Jukka Riekki (12 shared papers)Susanna Pirttikangas (22 shared papers)Erkki Harjula (7 shared papers)Mika Ylianttila (3 shared papers)Juha Partala (3 shared papers)Ella Peltonen (11 shared papers)Teemu Leppänen (9 shared papers)Tri Nguyen (5 shared papers)
In The Last Decade
Lauri Lovén
39 papers receiving 769 citations
Peers
Comparison fields: 5 of 88
- Computer Networks and Communications 369
- Information Systems 177
- Applied Psychology 25
- Electrical and Electronic Engineering 236
- Environmental Engineering 59
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2020 | 88 | |
| 3 | EdgeAI : a vision for distributed, edge-native artificial intelligence in future 6G networks | 2019 | 82 |
| 4 | 2021 | 76 | |
| 5 | 2018 | 66 | |
| 6 | 2023 | 54 | |
| 7 | 2023 | 50 | |
| 8 | 2024 | 32 | |
| 9 | 2020 | 30 | |
| 10 | 2022 | 28 | |
| 11 | 2023 | 21 | |
| 12 | 2020 | 20 | |
| 13 | 2019 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2018 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2021 | 8 | |
| 20 | 2023 | 8 |
About Lauri Lovén
Lauri Lovén is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Environmental Engineering, having authored 46 papers that have together received 786 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (20 papers), Air Quality Monitoring and Forecasting (5 papers), Blockchain Technology Applications and Security (4 papers), IoT Networks and Protocols (4 papers), Privacy-Preserving Technologies in Data (4 papers), Green IT and Sustainability (4 papers), Context-Aware Activity Recognition Systems (4 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (369 citations), Information Systems (177 citations), Applied Psychology (25 citations), Electrical and Electronic Engineering (236 citations) and Environmental Engineering (59 citations). Lauri Lovén has collaborated with scholars based in Finland, Austria and Sweden. Frequent co-authors include Jukka Riekki, Susanna Pirttikangas, Erkki Harjula, Mika Ylianttila, Juha Partala, Ella Peltonen, Teemu Leppänen, Tri Nguyen, Mikko J. Sillanpää and Sasu Tarkoma. Their work appears in journals such as IEEE Access, Sensors, IEEE Internet of Things Journal, Computer and IEEE Internet Computing.
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.