Pasi Fränti
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 0.2%
- Information Systems top 1%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Sami SieranojaVille HautamäkiOlli VirmajokiRadu Mariescu-IstodorIsmo KärkkäinenQinpei ZhaoMohammad RezaeiSusanto Rahardja
- Topics
- Advanced Data Compression Techniques (65 papers)Data Management and Algorithms (52 papers)Algorithms and Data Compression (49 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceScientific Reports
In The Last Decade
Pasi Fränti
216 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Artificial Intelligence 2.7k
- Computer Vision and Pattern Recognition 1.7k
- Signal Processing 1.4k
- Information Systems 469
- Statistical and Nonlinear Physics 441
Countries citing papers authored by Pasi Fränti
This map shows the geographic impact of Pasi Fränti'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 Pasi Fränti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasi Fränti more than expected).
Fields of papers citing papers by Pasi Fränti
This network shows the impact of papers produced by Pasi Fränti. 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 Pasi Fränti. The network helps show where Pasi Fränti may publish in the future.
Co-authorship network of co-authors of Pasi Fränti
This figure shows the co-authorship network connecting the top 25 collaborators of Pasi Fränti. A scholar is included among the top collaborators of Pasi Fränti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pasi Fränti. Pasi Fränti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 6 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | Structural, Syntactic, and Statistical Pettern Recognition: S+SSPR 2014 | 1 |
| 13 | System for real time storage, retrieval and visualization of GPS tracks | 2 |
| 14 | 23 | |
| 15 | Context aware recommendation of location-based data | 9 |
| 16 | 21 | |
| 17 | 227 | |
| 18 | 2 | |
| 19 | Evaluation of Compression Methods for Digital Map Images | 2 |
| 20 | Iterative Split-and-Merge Algorithm for VQ Codebook Generation | 6 |
About Pasi Fränti
Pasi Fränti is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 228 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (65 papers), Data Management and Algorithms (52 papers) and Algorithms and Data Compression (49 papers). The work is most often cited by research in Signal Processing (1.4k citations), Artificial Intelligence (2.7k citations) and Computer Vision and Pattern Recognition (1.7k citations). Pasi Fränti has collaborated with scholars based in Finland, China and Singapore. Frequent co-authors include Sami Sieranoja, Ville Hautamäki, Olli Virmajoki, Radu Mariescu-Istodor, Ismo Kärkkäinen, Qinpei Zhao, Mohammad Rezaei, Susanto Rahardja, Jiawei Yang and Alexander Kolesnikov. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.