Veli Mäkinen
- Artificial Intelligence top 1%
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 5%
- Hardware and Architecture top 2%
- Plant Science top 10%
- Co-authors
- Gonzalo NavarroNiko VälimäkiJouni SirénAlexandru I. TomescuEsko UkkonenGiovanni ManziniPaolo FerraginaRoméo Rizzi
- Topics
- Algorithms and Data Compression (52 papers)Genomics and Phylogenetic Studies (35 papers)Network Packet Processing and Optimization (15 papers)
In The Last Decade
Veli Mäkinen
76 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 1.0k
- Molecular Biology 897
- Computer Vision and Pattern Recognition 296
- Hardware and Architecture 282
- Plant Science 235
Countries citing papers authored by Veli Mäkinen
This map shows the geographic impact of Veli Mäkinen'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 Veli Mäkinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veli Mäkinen more than expected).
Fields of papers citing papers by Veli Mäkinen
This network shows the impact of papers produced by Veli Mäkinen. 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 Veli Mäkinen. The network helps show where Veli Mäkinen may publish in the future.
Co-authorship network of co-authors of Veli Mäkinen
This figure shows the co-authorship network connecting the top 25 collaborators of Veli Mäkinen. A scholar is included among the top collaborators of Veli Mäkinen 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 Veli Mäkinen. Veli Mäkinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | Chaining with overlaps revisited | 2 |
| 3 | Linear Time Construction of Indexable Founder Block Graphs | 4 |
| 4 | 34 | |
| 5 | 11 | |
| 6 | On the Complexity of Exact Pattern Matching in Graphs: Binary Strings and Bounded Degree | 1 |
| 7 | 20 | |
| 8 | 29 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | A simple alphabet-independent FM-index. | 2 |
| 17 | Maximum Line-Pair Stabbing Problem and its Variations ∗ | 1 |
| 18 | Algorithms for Transposition Invariant String Matching | 13 |
| 19 | Compact Suffix Array — A Space-Efficient Full-Text Index | 19 |
| 20 | Local similarity based point-pattern matching | 1 |
About Veli Mäkinen
Veli Mäkinen is a scholar working on Hardware and Architecture, Artificial Intelligence and Molecular Biology, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (52 papers), Genomics and Phylogenetic Studies (35 papers) and Network Packet Processing and Optimization (15 papers). The work is most often cited by research in Hardware and Architecture (282 citations), Artificial Intelligence (1.0k citations) and Signal Processing (179 citations). Veli Mäkinen has collaborated with scholars based in Finland, Chile and Italy. Frequent co-authors include Gonzalo Navarro, Niko Välimäki, Jouni Sirén, Alexandru I. Tomescu, Esko Ukkonen, Giovanni Manzini, Paolo Ferragina, Roméo Rizzi, Kjell Lemström and Anna Kuosmanen. Their work appears in journals such as Bioinformatics, PLoS ONE and Nature Protocols.
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.