Nikolaj Tatti

1.6k total citations
51 papers, 596 citations indexed

About

Nikolaj Tatti is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Nikolaj Tatti has authored 51 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 22 papers in Information Systems and 15 papers in Computational Theory and Mathematics. Recurrent topics in Nikolaj Tatti's work include Data Mining Algorithms and Applications (21 papers), Complex Network Analysis Techniques (14 papers) and Data Management and Algorithms (11 papers). Nikolaj Tatti is often cited by papers focused on Data Mining Algorithms and Applications (21 papers), Complex Network Analysis Techniques (14 papers) and Data Management and Algorithms (11 papers). Nikolaj Tatti collaborates with scholars based in Finland, Belgium and United States. Nikolaj Tatti's co-authors include Aristides Gionis, Jilles Vreeken, Polina Rozenshtein, Esther Galbrun, Aris Anagnostopoulos, Boris Čule, Heikki Mannila, Naren Ramakrishnan, Taneli Mielikäinen and François Petitjean and has published in prestigious journals such as Machine Learning, ACM SIGMOD Record and ACM Transactions on Database Systems.

In The Last Decade

Nikolaj Tatti

47 papers receiving 583 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nikolaj Tatti Finland 14 307 216 187 177 143 51 596
Matteo Riondato United States 15 418 1.4× 303 1.4× 183 1.0× 280 1.6× 158 1.1× 39 801
Shumo Chu United States 11 272 0.9× 131 0.6× 197 1.1× 271 1.5× 152 1.1× 14 689
Zhaonian Zou China 11 277 0.9× 168 0.8× 245 1.3× 168 0.9× 95 0.7× 47 584
Jiefeng Cheng Hong Kong 12 299 1.0× 234 1.1× 302 1.6× 83 0.5× 97 0.7× 20 674
Balázs Rácz Hungary 8 290 0.9× 200 0.9× 111 0.6× 529 3.0× 59 0.4× 12 840
Chaofeng Sha China 12 402 1.3× 231 1.1× 103 0.6× 139 0.8× 30 0.2× 39 648
Wentao Tian Hong Kong 5 231 0.8× 97 0.4× 94 0.5× 255 1.4× 48 0.3× 6 464
Kun‐Lung Wu United States 12 238 0.8× 325 1.5× 129 0.7× 208 1.2× 53 0.4× 32 895
Ahmet Erdem Sarıyüce United States 13 283 0.9× 74 0.3× 102 0.5× 433 2.4× 114 0.8× 33 693
Michele Zito United Kingdom 10 177 0.6× 144 0.7× 58 0.3× 59 0.3× 186 1.3× 43 605

Countries citing papers authored by Nikolaj Tatti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Tatti, Nikolaj, et al.. (2024). Jaccard-constrained dense subgraph discovery. Machine Learning. 113(9). 7103–7125. 1 indexed citations
3.
Tatti, Nikolaj. (2024). Explainable decomposition of nested dense subgraphs. Data Mining and Knowledge Discovery. 38(6). 3621–3642.
4.
Tatti, Nikolaj, et al.. (2023). Finding Favourite Tuples on Data Streams with Provably Few Comparisons. 3229–3238. 3 indexed citations
5.
Tatti, Nikolaj, et al.. (2022). Coresets remembered and items forgotten: submodular maximization with deletions. 676–685. 5 indexed citations
6.
Tatti, Nikolaj, et al.. (2022). Ranking with submodular functions on a budget. Data Mining and Knowledge Discovery. 36(3). 1197–1218. 2 indexed citations
7.
Lintulaakso, Kari, Nikolaj Tatti, & Indrė Žliobaitė. (2022). Quantifying mammalian diets. Mammalian Biology. 103(1). 53–67. 9 indexed citations
8.
Rozenshtein, Polina, Nikolaj Tatti, & Aristides Gionis. (2020). The network-untangling problem: from interactions to activity timelines. Data Mining and Knowledge Discovery. 35(1). 213–247. 5 indexed citations
9.
Tatti, Nikolaj. (2018). Strongly polynomial efficient approximation scheme for segmentation. Information Processing Letters. 142. 1–8. 5 indexed citations
10.
Garimella, Kiran, Aristides Gionis, Nikos Parotsidis, & Nikolaj Tatti. (2017). Balancing information exposure in social networks. Aaltodoc (Aalto University). 30. 4663–4671. 8 indexed citations
11.
Tatti, Nikolaj. (2016). Tiers for peers: a practical algorithm for discovering hierarchy in weighted networks. Data Mining and Knowledge Discovery. 31(3). 702–738. 5 indexed citations
12.
Gionis, Aristides, et al.. (2016). A Combinatorial Approach to Role Discovery. 4 indexed citations
13.
Fromont, Élisa & Nikolaj Tatti. (2016). 15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016. 1 indexed citations
14.
Petitjean, François, Tao Li, Nikolaj Tatti, & Geoffrey I. Webb. (2016). Skopus: Mining top-k sequential patterns under leverage. Data Mining and Knowledge Discovery. 30(5). 1086–1111. 24 indexed citations
15.
Varde, Aparna S. & Nikolaj Tatti. (2014). A Panorama of Imminent Doctoral Research in Data Mining. ACM SIGMOD Record. 43(3). 71–74. 1 indexed citations
16.
Vreeken, Jilles, et al.. (2014). Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas. Data Mining and Knowledge Discovery. 28(5-6). 1398–1428. 7 indexed citations
17.
Akoglu, Leman, Duen Horng Chau, Jilles Vreeken, et al.. (2013). Mining Connection Pathways for Marked Nodes in Large Graphs. Lirias (KU Leuven). 37–45. 20 indexed citations
18.
Tatti, Nikolaj & Jilles Vreeken. (2012). Discovering Descriptive Tile Trees by Fast Mining of Optimal Geometric Subtiles. 1 indexed citations
19.
Tatti, Nikolaj & Boris Čule. (2010). Mining Closed Strict Episodes. 10 indexed citations
20.
Tatti, Nikolaj. (2006). Computational complexity of queries based on itemsets. Information Processing Letters. 98(5). 183–187. 9 indexed citations

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.

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