Veli Mäkinen
- Hardware and Architecture top 2%
- Network Packet Processing and Optimization 15
- Artificial Intelligence top 1%
- Algorithms and Data Compression 52
- Signal Processing top 5%
- Music and Audio Processing 5
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- semigroups and automata theory 7
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- Genomics and Phylogenetic Studies 35
- RNA and protein synthesis mechanisms 12
- DNA and Biological Computing 9
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- Genomics and Rare Diseases 4
In The Last Decade
Veli Mäkinen
76 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 129
- Hardware and Architecture 282
- Artificial Intelligence 1.0k
- Signal Processing 179
- Computer Vision and Pattern Recognition 296
- Computational Theory and Mathematics 206
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
The 25 scholars most cited alongside Veli Mäkinen, 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 | 2021 | 23 | |
| 2 | Chaining with overlaps revisited | 2020 | 2 |
| 3 | Linear Time Construction of Indexable Founder Block Graphs | 2020 | 4 |
| 4 | 2019 | 34 | |
| 5 | 2019 | 11 | |
| 6 | On the Complexity of Exact Pattern Matching in Graphs: Binary Strings and Bounded Degree | 2019 | 1 |
| 7 | 2018 | 20 | |
| 8 | 2018 | 29 | |
| 9 | 2018 | 5 | |
| 10 | 2017 | 2 | |
| 11 | 2016 | 9 | |
| 12 | 2013 | 1 | |
| 13 | 2012 | 6 | |
| 14 | 2008 | 2 | |
| 15 | 2007 | 10 | |
| 16 | A simple alphabet-independent FM-index. | 2005 | 2 |
| 17 | Maximum Line-Pair Stabbing Problem and its Variations ∗ | 2005 | 1 |
| 18 | Algorithms for Transposition Invariant String Matching | 2003 | 13 |
| 19 | Compact Suffix Array — A Space-Efficient Full-Text Index | 2002 | 19 |
| 20 | Local similarity based point-pattern matching | 2002 | 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), Network Packet Processing and Optimization (15 papers), RNA and protein synthesis mechanisms (12 papers), DNA and Biological Computing (9 papers), semigroups and automata theory (7 papers), Music and Audio Processing (5 papers) and Genomics and Rare Diseases (4 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.