Kjell Lemström
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Music top 5%
- Co-authors
- Geraínt A. WigginsJorma TarhioEsko UkkonenDavid MeredithVeli MäkinenIlya ShmulevichOlli Yli‐HarjaEdward J. Coyle
- Topics
- Music and Audio Processing (31 papers)Music Technology and Sound Studies (23 papers)Algorithms and Data Compression (14 papers)
- Partner nations
- FinlandUnited KingdomChile
In The Last Decade
Kjell Lemström
35 papers receiving 304 citations
Peers
Comparison fields: 5 of 33
- Signal Processing 353
- Computer Vision and Pattern Recognition 322
- Artificial Intelligence 119
- Cognitive Neuroscience 64
- Music 30
Countries citing papers authored by Kjell Lemström
This map shows the geographic impact of Kjell Lemström'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 Kjell Lemström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kjell Lemström more than expected).
Fields of papers citing papers by Kjell Lemström
This network shows the impact of papers produced by Kjell Lemström. 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 Kjell Lemström. The network helps show where Kjell Lemström may publish in the future.
Co-authorship network of co-authors of Kjell Lemström
This figure shows the co-authorship network connecting the top 25 collaborators of Kjell Lemström. A scholar is included among the top collaborators of Kjell Lemström 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 Kjell Lemström. Kjell Lemström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | Transposition invariant pattern matching for multi-track strings | 13 |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 46 | |
| 14 | SIA(M)ESE: An efficient algorithm for transposition invariant pattern matching in multidimensional datasets | 3 |
| 15 | A Three-Layer Approach for Music Retrieval in Large Databases | 12 |
| 16 | Searching monophonic patterns within polyphonic sources | 39 |
| 17 | Including Interval Encoding Into Edit Distance Based Music Comparison and Retrieval | 16 |
| 18 | Graph-based smoothing of class data with applications in musical key finding. | 8 |
| 19 | Using Relative Interval Slope in Music Information Retrieval | 13 |
| 20 | MUSICAL INFORMATION RETRIEVAL USING MUSICAL PARAMETERS | 29 |
About Kjell Lemström
Kjell Lemström is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 41 papers that have together received 399 indexed citations. Recurring topics across this work include Music and Audio Processing (31 papers), Music Technology and Sound Studies (23 papers) and Algorithms and Data Compression (14 papers). The work is most often cited by research in Signal Processing (353 citations), Computer Vision and Pattern Recognition (322 citations) and Music (30 citations). Kjell Lemström has collaborated with scholars based in Finland, United Kingdom and Chile. Frequent co-authors include Geraínt A. Wiggins, Jorma Tarhio, Esko Ukkonen, David Meredith, Veli Mäkinen, Ilya Shmulevich, Olli Yli‐Harja, Edward J. Coyle, Dirk-Jan Povel and Mika Laitinen. Their work appears in journals such as Information Retrieval, Musicae Scientiae and Journal of New Music Research.
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.