Juha Kärkkäinen
- Artificial Intelligence top 2%
- Molecular Biology
- Hardware and Architecture top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Stefan BurkhardtPeter SandersHannu ToivonenDominik KempaSimon J. PuglisiEsko UkkonenGonzalo NavarroTravis Gagie
- Topics
- Algorithms and Data Compression (41 papers)Network Packet Processing and Optimization (20 papers)DNA and Biological Computing (15 papers)
In The Last Decade
Juha Kärkkäinen
46 papers receiving 627 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 549
- Molecular Biology 277
- Hardware and Architecture 211
- Computational Theory and Mathematics 136
- Computer Networks and Communications 122
Countries citing papers authored by Juha Kärkkäinen
This map shows the geographic impact of Juha Kärkkäinen'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 Kärkkäinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juha Kärkkäinen more than expected).
Fields of papers citing papers by Juha Kärkkäinen
This network shows the impact of papers produced by Juha Kärkkäinen. 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 Kärkkäinen. The network helps show where Juha Kärkkäinen may publish in the future.
Co-authorship network of co-authors of Juha Kärkkäinen
This figure shows the co-authorship network connecting the top 25 collaborators of Juha Kärkkäinen. A scholar is included among the top collaborators of Juha Kärkkäinen 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 Juha Kärkkäinen. Juha Kärkkäinen 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 | 2 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 47 | |
| 15 | 18 | |
| 16 | One-Gapped q-Gram Filtersfor Levenshtein Distance | 7 |
| 17 | 6 | |
| 18 | Episode Matching | 31 |
| 19 | Efficient Discovery of Functional and Approximate Dependencies Using Partitions (Extended version) | 2 |
| 20 | 7 |
About Juha Kärkkäinen
Juha Kärkkäinen is a scholar working on Hardware and Architecture, Artificial Intelligence and Computational Theory and Mathematics, having authored 49 papers that have together received 674 indexed citations. Recurring topics across this work include Algorithms and Data Compression (41 papers), Network Packet Processing and Optimization (20 papers) and DNA and Biological Computing (15 papers). The work is most often cited by research in Hardware and Architecture (211 citations), Artificial Intelligence (549 citations) and Signal Processing (110 citations). Juha Kärkkäinen has collaborated with scholars based in Finland, Germany and Poland. Frequent co-authors include Stefan Burkhardt, Peter Sanders, Hannu Toivonen, Dominik Kempa, Simon J. Puglisi, Esko Ukkonen, Gonzalo Navarro, Travis Gagie, Erkki Sutinen and Jens Stoye. Their work appears in journals such as Journal of the ACM, SIAM Journal on Computing and Theoretical Computer Science.
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.