Juha Partala
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
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- IoT and Edge/Fog Computing
Papers in
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- Blockchain Technology Applications and Security 7
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- Cryptography and Data Security 5
- Co-authors
- Susanna Pirttikangas (6 shared papers)Tri Nguyen (6 shared papers)Lauri Lovén (3 shared papers)Teemu Leppänen (1 shared paper)Mika Ylianttila (1 shared paper)Ella Peltonen (1 shared paper)Erkki Harjula (1 shared paper)Jukka Riekki (1 shared paper)
In The Last Decade
Juha Partala
20 papers receiving 431 citations
Peers
Comparison fields: 5 of 51
- Information Systems 221
- Computer Networks and Communications 166
- Computer Vision and Pattern Recognition 102
- Artificial Intelligence 136
- Electrical and Electronic Engineering 136
Countries citing papers authored by Juha Partala
This map shows the geographic impact of Juha Partala'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 Juha Partala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juha Partala more than expected).
Fields of papers citing papers by Juha Partala
This network shows the impact of papers produced by Juha Partala. 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 Juha Partala. The network helps show where Juha Partala may publish in the future.
Co-authors
The 25 scholars most cited alongside Juha Partala, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 90 | |
| 2 | 2020 | 88 | |
| 3 | EdgeAI : a vision for distributed, edge-native artificial intelligence in future 6G networks | 2019 | 82 |
| 4 | 2020 | 54 | |
| 5 | 2019 | 37 | |
| 6 | 2013 | 27 | |
| 7 | 2013 | 17 | |
| 8 | 2016 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2014 | 7 | |
| 12 | 2017 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2008 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2008 | 1 | |
| 20 | 2016 | 1 |
About Juha Partala
Juha Partala is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 23 papers that have together received 453 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (7 papers), Cryptography and Data Security (5 papers), IoT and Edge/Fog Computing (5 papers), Wireless Body Area Networks (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Chaos-based Image/Signal Encryption (3 papers), Transportation and Mobility Innovations (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Information Systems (221 citations), Computer Networks and Communications (166 citations), Computer Vision and Pattern Recognition (102 citations), Artificial Intelligence (136 citations) and Electrical and Electronic Engineering (136 citations). Juha Partala has collaborated with scholars based in Finland and Ireland. Frequent co-authors include Susanna Pirttikangas, Tri Nguyen, Lauri Lovén, Teemu Leppänen, Mika Ylianttila, Ella Peltonen, Erkki Harjula, Jukka Riekki, Pawani Porambage and Tapio Seppänen. Their work appears in journals such as IEEE Access, Journal of Mathematical Cryptology, Future Generation Computer Systems, BioMed Research International and Journal of Electrical and Computer Engineering.
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.