Heikki Hyyrö
- Artificial Intelligence top 10%
- Molecular Biology
- Hardware and Architecture top 10%
- Information Systems
- Cardiology and Cardiovascular Medicine
- Co-authors
- Gonzalo NavarroJussi KarlgrenJorma TarhioMartti JuholaKimmo FredrikssonMauno VihinenShunsuke InenagaJyrki Rasku
- Topics
- Algorithms and Data Compression (17 papers)Network Packet Processing and Optimization (8 papers)Genomics and Phylogenetic Studies (6 papers)
In The Last Decade
Heikki Hyyrö
19 papers receiving 147 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 112
- Molecular Biology 75
- Hardware and Architecture 58
- Information Systems 22
- Cardiology and Cardiovascular Medicine 14
Countries citing papers authored by Heikki Hyyrö
This map shows the geographic impact of Heikki Hyyrö'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 Heikki Hyyrö with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heikki Hyyrö more than expected).
Fields of papers citing papers by Heikki Hyyrö
This network shows the impact of papers produced by Heikki Hyyrö. 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 Heikki Hyyrö. The network helps show where Heikki Hyyrö may publish in the future.
Co-authorship network of co-authors of Heikki Hyyrö
This figure shows the co-authorship network connecting the top 25 collaborators of Heikki Hyyrö. A scholar is included among the top collaborators of Heikki Hyyrö 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 Heikki Hyyrö. Heikki Hyyrö is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | Proceedings of the 16th International Symposium on String Processing and Information Retrieval | 20 |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 16 | |
| 12 | On Boyer-Moore Preprocessing | 0 |
| 13 | A Note on Bit-Parallel Alignment Computation. | 0 |
| 14 | 7 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 11 | |
| 18 | Practical Methods for Approximate String Matching | 4 |
| 19 | A Bit-Vector Algorithm for Computing Levenshtein and Damerau Edit Distances. | 38 |
| 20 | 3 |
About Heikki Hyyrö
Heikki Hyyrö is a scholar working on Hardware and Architecture, Artificial Intelligence and Computational Theory and Mathematics, having authored 21 papers that have together received 159 indexed citations. Recurring topics across this work include Algorithms and Data Compression (17 papers), Network Packet Processing and Optimization (8 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Hardware and Architecture (58 citations), Artificial Intelligence (112 citations) and Signal Processing (13 citations). Heikki Hyyrö has collaborated with scholars based in Finland, Japan and Chile. Frequent co-authors include Gonzalo Navarro, Jussi Karlgren, Jorma Tarhio, Martti Juhola, Kimmo Fredriksson, Mauno Vihinen, Shunsuke Inenaga, Jyrki Rasku, Henry Joutsijoki and Harri Siirtola. Their work appears in journals such as Nucleic Acids Research, Computers in Biology and Medicine and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.