Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A review of unsupervised feature learning and deep learning for time-series modeling
2014874 citationsLars Karlsson, Amy Loutfi et al.profile →
Citations per year, relative to Lars Karlsson Lars Karlsson (= 1×)
peers
Muhammad Arif
Countries citing papers authored by Lars Karlsson
Since
Specialization
Citations
This map shows the geographic impact of Lars Karlsson'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 Karlsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Karlsson more than expected).
This network shows the impact of papers produced by Lars Karlsson. 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 Karlsson. The network helps show where Lars Karlsson may publish in the future.
Co-authorship network of co-authors of Lars Karlsson
This figure shows the co-authorship network connecting the top 25 collaborators of Lars Karlsson.
A scholar is included among the top collaborators of Lars Karlsson 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 Karlsson. Lars Karlsson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Alirezaie, Marjan, et al.. (2017). Context Recognition in Multiple Occupants Situations : Detecting the Number of Agents in a Smart Home Environment with Simple Sensors. Örebro University Library (Örebro University). 758–764.2 indexed citations
8.
Lagriffoul, Fabien, Lars Karlsson, Julien Bidot, & Alessandro Saffiotti. (2013). Combining Task and Motion Planning is Not Always a Good Idea.5 indexed citations
9.
Cirillo, Marcello, Lars Karlsson, & Alessandro Saffiotti. (2009). Human-aware task planning for mobile robots. 1–7.8 indexed citations
10.
Cirillo, Marcello, Lars Karlsson, & Alessandro Saffiotti. (2008). A Framework For Human-Aware Robot Planning. 52–59.2 indexed citations
11.
Karlsson, Lars, et al.. (2006). Plan-Based Configuration of a Group of Robots. KTH Publication Database DiVA (KTH Royal Institute of Technology). 683–687.9 indexed citations
12.
Karlsson, Lars, et al.. (2005). Symbolic Probabilistic-Conditional Plans Execution by a Mobile Robot. International Joint Conference on Artificial Intelligence.10 indexed citations
13.
Broxvall, Mathias, Silvia Coradeschi, Lars Karlsson, & Alessandro Saffiotti. (2005). Recovery planning for ambiguous cases in perceptual anchoring. National Conference on Artificial Intelligence. 1254–1260.14 indexed citations
14.
Karlsson, Lars, et al.. (2005). PC-SHOP: A Probabilistic-Conditional Hierarchical Task Planner.. 2(4). 44–50.5 indexed citations
15.
Broxvall, Mathias, Lars Karlsson, & Alessandro Saffiotti. (2004). Steps toward detecting and recovering from perceptual failures. 793–800.7 indexed citations
Karlsson, Lars. (2001). Conditional progressive planning under uncertainty. International Joint Conference on Artificial Intelligence. 431–436.55 indexed citations
18.
Coradeschi, Silvia, Lars Karlsson, Peter Stone, et al.. (2000). Overview of RoboCup-99. AI Magazine. 21(3). 11–18.8 indexed citations
19.
Karlsson, Lars, et al.. (1998). Delayed effects of actions. European Conference on Artificial Intelligence. 542–546.8 indexed citations
20.
Karlsson, Lars. (1997). Reasoning with incomplete initial information and nondeterminism in situation calculus. International Joint Conference on Artificial Intelligence. 1434–1440.
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.