Niklas Lavesson

1.2k total citations
61 papers, 680 citations indexed

About

Niklas Lavesson is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Niklas Lavesson has authored 61 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 23 papers in Information Systems and 17 papers in Signal Processing. Recurrent topics in Niklas Lavesson's work include Machine Learning and Data Classification (15 papers), Spam and Phishing Detection (10 papers) and Advanced Malware Detection Techniques (10 papers). Niklas Lavesson is often cited by papers focused on Machine Learning and Data Classification (15 papers), Spam and Phishing Detection (10 papers) and Advanced Malware Detection Techniques (10 papers). Niklas Lavesson collaborates with scholars based in Sweden, Bulgaria and United States. Niklas Lavesson's co-authors include Paul Davidsson, Håkan Grahn, Henric Johnson, Florian Westphal, Martin Boldt, Amir Yavariabdi, Johan Hall, Veselka Boeva, Christian Johansson and Davy Geysen and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information and Software Technology.

In The Last Decade

Niklas Lavesson

59 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niklas Lavesson Sweden 16 266 146 136 133 122 61 680
Henda Ben Ghézala Tunisia 11 214 0.8× 222 1.5× 105 0.8× 74 0.6× 184 1.5× 113 795
Adamu Abubakar Malaysia 14 246 0.9× 183 1.3× 95 0.7× 78 0.6× 154 1.3× 99 792
Honghui Xu United States 11 343 1.3× 80 0.5× 168 1.2× 89 0.7× 111 0.9× 22 808
Kittisak Kerdprasop Thailand 12 268 1.0× 123 0.8× 85 0.6× 81 0.6× 59 0.5× 86 683
Yves Demazeau France 13 274 1.0× 72 0.5× 92 0.7× 57 0.4× 113 0.9× 76 676
Otthein Herzog Germany 14 169 0.6× 99 0.7× 187 1.4× 60 0.5× 90 0.7× 111 670
Norita Md Norwawi Malaysia 14 164 0.6× 195 1.3× 76 0.6× 102 0.8× 86 0.7× 86 551
Yongli Ren Australia 15 348 1.3× 391 2.7× 208 1.5× 101 0.8× 102 0.8× 76 834
Christopher Ifeanyi Eke Nigeria 9 399 1.5× 139 1.0× 111 0.8× 72 0.5× 53 0.4× 28 841

Countries citing papers authored by Niklas Lavesson

Since Specialization
Citations

This map shows the geographic impact of Niklas Lavesson'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 Niklas Lavesson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niklas Lavesson more than expected).

Fields of papers citing papers by Niklas Lavesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Niklas Lavesson. 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 Niklas Lavesson. The network helps show where Niklas Lavesson may publish in the future.

Co-authorship network of co-authors of Niklas Lavesson

This figure shows the co-authorship network connecting the top 25 collaborators of Niklas Lavesson. A scholar is included among the top collaborators of Niklas Lavesson 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 Niklas Lavesson. Niklas Lavesson 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
1.
Kalinowski, Marcos, Daniel Méndez, Görkem Giray, et al.. (2025). Naming the Pain in machine learning-enabled systems engineering. Information and Software Technology. 187. 107866–107866. 1 indexed citations
2.
Gorschek, Tony, et al.. (2024). Adversarial Machine Learning in Industry: A Systematic Literature Review. Computers & Security. 145. 103988–103988. 8 indexed citations
3.
Westphal, Florian, et al.. (2023). Explaining rifle shooting factors through multi-sensor body tracking1. Intelligent Data Analysis. 27(2). 535–554. 1 indexed citations
4.
García-Martín, Eva, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, & Veselka Boeva. (2021). Energy-aware very fast decision tree. IRIS Research product catalog (Sapienza University of Rome). 8 indexed citations
5.
García-Martín, Eva, Albert Bifet, & Niklas Lavesson. (2021). Energy modeling of Hoeffding tree ensembles. Intelligent Data Analysis. 25(1). 81–104. 4 indexed citations
6.
Boeva, Veselka, et al.. (2019). Higher Order Mining for Monitoring District Heating Substations. KTH Publication Database DiVA (KTH Royal Institute of Technology). 382–391. 9 indexed citations
7.
Westphal, Florian, Niklas Lavesson, & Håkan Grahn. (2018). Document Image Binarization Using Recurrent Neural Networks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 263–268. 28 indexed citations
8.
Boeva, Veselka, et al.. (2018). Outlier Detection for Video Session Data Using Sequential Pattern Mining. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
9.
Lavesson, Niklas, et al.. (2016). A mixture-of-experts approach for gene regulatory network inference. International Journal of Data Mining and Bioinformatics. 14(3). 258–258. 2 indexed citations
10.
Lavesson, Niklas, et al.. (2013). Comparative Analysis of Voting Schemes for Ensemble-based Malware Detection. Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications. 4(1). 98–117. 26 indexed citations
11.
Lavesson, Niklas, et al.. (2012). E-Mail Prioritization using Online Social Network Profile Distance. KTH Publication Database DiVA (KTH Royal Institute of Technology). 9(1). 70–87. 3 indexed citations
12.
Baptista, Ana Alice, et al.. (2012). Social Shaping of Digital Publishing: Exploring the Interplay Between Culture and Technology - Proceedings of the 16th International Conference on Electronic Publishing. 1 indexed citations
13.
Lavesson, Niklas, et al.. (2011). Detecting scareware by mining variable length instruction sequences. 1–8. 15 indexed citations
14.
Lavesson, Niklas, et al.. (2011). Accurate Adware Detection Using Opcode Sequence Extraction. KTH Publication Database DiVA (KTH Royal Institute of Technology). 189–195. 16 indexed citations
15.
Johnson, Henric, Prantik Bhattacharyya, Shanchan Wu, et al.. (2011). Your Best might not be Good enough: Ranking in Collaborative Social Search Engines. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations
16.
Grahn, Håkan, et al.. (2011). CudaRF: A CUDA-based implementation of Random Forests. 2. 95–101. 32 indexed citations
17.
Lavesson, Niklas & Henric Johnson. (2011). Measuring profile distance in online social networks. 1–12. 6 indexed citations
18.
Lavesson, Niklas. (2010). Learning Machine Learning: A Case Study. IEEE Transactions on Education. 53(4). 672–676. 21 indexed citations
19.
Lavesson, Niklas, Anders Halling, M. Freitag, et al.. (2009). Classifying the Severity of an Acute Coronary Syndrome by Mining Patient Data. 13(35). 55–63. 9 indexed citations
20.
Lavesson, Niklas & Paul Davidsson. (2006). Quantifying the impact of learning algorithm parameter tuning. National Conference on Artificial Intelligence. 395–400. 35 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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