Nikolaj Tatti
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Aristides GionisJilles VreekenPolina RozenshteinEsther GalbrunAris AnagnostopoulosBoris ČuleHeikki MannilaTaneli Mielikäinen
- Topics
- Data Mining Algorithms and Applications (21 papers)Complex Network Analysis Techniques (14 papers)Data Management and Algorithms (11 papers)
- Partner nations
- FinlandBelgiumUnited States
In The Last Decade
Nikolaj Tatti
47 papers receiving 583 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 307
- Information Systems 216
- Signal Processing 187
- Statistical and Nonlinear Physics 177
- Computational Theory and Mathematics 143
Countries citing papers authored by Nikolaj Tatti
This map shows the geographic impact of Nikolaj Tatti'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 Nikolaj Tatti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolaj Tatti more than expected).
Fields of papers citing papers by Nikolaj Tatti
This network shows the impact of papers produced by Nikolaj Tatti. 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 Nikolaj Tatti. The network helps show where Nikolaj Tatti may publish in the future.
Co-authorship network of co-authors of Nikolaj Tatti
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolaj Tatti. A scholar is included among the top collaborators of Nikolaj Tatti 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 Nikolaj Tatti. Nikolaj Tatti 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | Balancing information exposure in social networks | 8 |
| 11 | 24 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014, Nancy, France, September 15-19, 2014 | 1 |
| 16 | Discovering Descriptive Tile Trees by Fast Mining of Optimal Geometric Subtiles | 1 |
| 17 | 10 | |
| 18 | Advances in Mining Binary Data: Itemsets as Summaries | 1 |
| 19 | 26 | |
| 20 | 9 |
About Nikolaj Tatti
Nikolaj Tatti is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Information Systems, having authored 51 papers that have together received 596 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (21 papers), Complex Network Analysis Techniques (14 papers) and Data Management and Algorithms (11 papers). The work is most often cited by research in Computational Mathematics (14 citations), Signal Processing (187 citations) and Statistical and Nonlinear Physics (177 citations). Nikolaj Tatti has collaborated with scholars based in Finland, Belgium and United States. Frequent co-authors include Aristides Gionis, Jilles Vreeken, Polina Rozenshtein, Esther Galbrun, Aris Anagnostopoulos, Boris Čule, Heikki Mannila, Taneli Mielikäinen, Naren Ramakrishnan and François Petitjean. Their work appears in journals such as Machine Learning, ACM SIGMOD Record and ACM Transactions on Database Systems.
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.