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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- Cryptography and Data Security 4
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- Blockchain Technology Applications and Security 5
- Co-authors
- Tri Nguyen (4 shared papers)Susanna Pirttikangas (4 shared papers)Lauri Lovén (2 shared papers)Ella Peltonen (1 shared paper)Erkki Harjula (1 shared paper)Jukka Riekki (1 shared paper)Teemu Leppänen (1 shared paper)Pawani Porambage (1 shared paper)
In The Last Decade
Juha Partala
17 papers receiving 355 citations
Peers
Comparison fields: 5 of 50
- Information Systems 177
- Computer Networks and Communications 130
- Computer Vision and Pattern Recognition 90
- Artificial Intelligence 120
- Electrical and Electronic Engineering 108
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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 79 | |
| 2 | EdgeAI : a vision for distributed, edge-native artificial intelligence in future 6G networks | 2019 | 75 |
| 3 | 2020 | 74 | |
| 4 | 2020 | 48 | |
| 5 | 2019 | 25 | |
| 6 | 2013 | 20 | |
| 7 | 2013 | 14 | |
| 8 | 2016 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2014 | 6 | |
| 11 | 2017 | 4 | |
| 12 | 2016 | 2 | |
| 13 | 2008 | 2 | |
| 14 | 2017 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2008 | 1 | |
| 17 | 2016 | 1 | |
| 18 | Algebraic methods for cryptographic key exhange | 2015 | 1 |
| 19 | Symmetric blind decryption with perfect secrecy | 2017 | 0 |
| 20 | 2017 | 0 |
About Juha Partala
Juha Partala is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 20 papers that have together received 373 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (5 papers), Cryptography and Data Security (4 papers), Wireless Body Area Networks (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Chaos-based Image/Signal Encryption (3 papers), IoT and Edge/Fog Computing (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 (177 citations), Computer Networks and Communications (130 citations), Computer Vision and Pattern Recognition (90 citations), Artificial Intelligence (120 citations) and Electrical and Electronic Engineering (108 citations). Juha Partala has collaborated with scholars based in Finland and Ireland. Frequent co-authors include Tri Nguyen, Susanna Pirttikangas, Lauri Lovén, Ella Peltonen, Erkki Harjula, Jukka Riekki, Teemu Leppänen, Pawani Porambage, Mika Ylianttila and Tapio Seppänen. Their work appears in journals such as IEEE Access, Journal of Mathematical Cryptology, BioMed Research International, Future Generation Computer Systems and Applicable Algebra in Engineering Communication and 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.