Lars Niklasson

1.8k total citations
95 papers, 1.1k citations indexed

About

Lars Niklasson is a scholar working on Artificial Intelligence, Information Systems and Control and Systems Engineering. According to data from OpenAlex, Lars Niklasson has authored 95 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 11 papers in Information Systems and 9 papers in Control and Systems Engineering. Recurrent topics in Lars Niklasson's work include Neural Networks and Applications (23 papers), Evolutionary Algorithms and Applications (16 papers) and Data Mining Algorithms and Applications (10 papers). Lars Niklasson is often cited by papers focused on Neural Networks and Applications (23 papers), Evolutionary Algorithms and Applications (16 papers) and Data Mining Algorithms and Applications (10 papers). Lars Niklasson collaborates with scholars based in Sweden, Switzerland and United States. Lars Niklasson's co-authors include Ulf Johansson, Rikard König, Aribert Rothenberger, Peder Rasmussen, C Gillberg, Mats Johnson, I. Carina Gillberg, Tim van Gelder, Tom Ziemke and Mikael Bodén and has published in prestigious journals such as Information Fusion, Higher Education and European Child & Adolescent Psychiatry.

In The Last Decade

Lars Niklasson

84 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Niklasson Sweden 14 443 291 177 156 143 95 1.1k
Manuel J. Fernández Iglesias Spain 18 154 0.3× 116 0.4× 74 0.4× 16 0.1× 105 0.7× 108 984
Shan Lu China 20 295 0.7× 24 0.1× 59 0.3× 209 1.3× 86 0.6× 72 1.4k
Francisco Javier Díaz Pernas Spain 14 222 0.5× 40 0.1× 126 0.7× 60 0.4× 40 0.3× 73 1.4k
Jie M. Zhang China 21 931 2.1× 68 0.2× 186 1.1× 74 0.5× 23 0.2× 75 2.2k
Berardina De Carolis Italy 17 390 0.9× 25 0.1× 96 0.5× 47 0.3× 64 0.4× 112 1.1k
Kwanghee Jung United States 19 58 0.1× 62 0.2× 111 0.6× 212 1.4× 385 2.7× 62 1.7k
Danial Hooshyar South Korea 22 438 1.0× 34 0.1× 97 0.5× 59 0.4× 462 3.2× 64 1.4k
William D. Smart United States 22 693 1.6× 57 0.2× 137 0.8× 48 0.3× 25 0.2× 117 2.0k
Pierre Nugues Sweden 22 1.2k 2.8× 31 0.1× 109 0.6× 79 0.5× 24 0.2× 117 1.9k

Countries citing papers authored by Lars Niklasson

Since Specialization
Citations

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

Fields of papers citing papers by Lars Niklasson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Niklasson

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Niklasson. A scholar is included among the top collaborators of Lars Niklasson 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 Lars Niklasson. Lars Niklasson 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.
Niklasson, Lars, et al.. (2015). The role of municipalities in the bottom-up formation of a meta-region in Sweden: Drivers and barriers. KTH Publication Database DiVA (KTH Royal Institute of Technology). 19(4). 71–88. 3 indexed citations
2.
Niklasson, Lars, et al.. (2013). Threat assessment for missions in hostile territory - From the aircraft perspective. International Conference on Information Fusion. 1856–1862. 1 indexed citations
3.
Niklasson, Lars, et al.. (2013). Comparing Air Mission Routes from a Combat Survival Perspective. The Florida AI Research Society. 58–63. 4 indexed citations
4.
Niklasson, Lars, et al.. (2011). Modeling fighter aircraft mission survivability. International Conference on Information Fusion. 1–8. 10 indexed citations
5.
Niklasson, Lars, et al.. (2009). An ensemble approach for increased anomaly detection performance in video surveillance data. International Conference on Information Fusion. 694–701. 8 indexed citations
6.
Johansson, Ulf, Rikard König, & Lars Niklasson. (2008). Evolving a Locally Optimized Instance Based Learner. Borås Academic Digital Archive (University of Borås). 124–129. 5 indexed citations
7.
Johansson, Ulf, et al.. (2008). Genetic Decision Lists for Concept Description. Borås Academic Digital Archive (University of Borås). 450–456. 1 indexed citations
8.
König, Rikard, Ulf Johansson, & Lars Niklasson. (2008). Using Genetic Programming to Increase Rule Quality. Borås Academic Digital Archive (University of Borås). 288–293. 5 indexed citations
9.
Niklasson, Lars, et al.. (2008). Finding behavioural anomalies in public areas using video surveillance data. International Conference on Information Fusion. 1–8. 18 indexed citations
10.
Niklasson, Lars, et al.. (2008). Extending the scope of situation analysis. International Conference on Information Fusion. 1–8. 9 indexed citations
11.
Johansson, Ulf, et al.. (2006). Rule Extraction from Opaque Models-- A Slightly Different Perspective. 22–27. 7 indexed citations
12.
Niklasson, Lars, et al.. (2006). Goal-Directed Hierarchical Dynamic Scripting for RTS Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2(1). 21–28. 8 indexed citations
13.
Johansson, Ulf, Tuve Löfström, Rikard König, & Lars Niklasson. (2006). Introducing GEMS * a Novel Technique for Ensemble Creation. The Florida AI Research Society. 700–705. 3 indexed citations
14.
Johansson, Ulf, Tuve Löfström, Rikard König, & Lars Niklasson. (2006). Why Not Use an Oracle When You Got One. International Conference on Neural Information Processing. 10. 227–236. 10 indexed citations
15.
Johansson, Ulf, et al.. (2004). Why Rule Extraction Matters. International Conference on Software Engineering. 47–52. 5 indexed citations
16.
Johansson, Ulf, Rikard König, & Lars Niklasson. (2004). The Truth is in There : Rule Extraction from Opaque Models Using Genetic Programming. The Florida AI Research Society. 658–663. 33 indexed citations
17.
Niklasson, Lars, Henrik Engström, & Ulf Johansson. (2001). An Adaptive 'Rock, Scissors and Paper' Player Based on a Tapped Delay Neural Network. KTH Publication Database DiVA (KTH Royal Institute of Technology). 130–136. 4 indexed citations
18.
Niklasson, Lars, Mikael Bodén, & Tom Ziemke. (1998). ICANN 98 : proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2-4 September 1998. Springer eBooks. 2 indexed citations
19.
Niklasson, Lars & Mikael Bodén. (1995). Current trends in connectionism : proceedings of the Swedish Conference on Connectionism-1995. 5 indexed citations
20.
Niklasson, Lars. (1995). State, Market and Oligarchy in Higher Education: A Typology and an Outline of the Debate.. Higher education management. 7(3). 4 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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