Lars Andersson

636 citations
14 papers · 404 indexed · h-index 8

Impact in

Papers in

Journals
Machine Vision and Applications (1 paper)Proceedings of the IEEE (1 paper)International Conference on Information Fusion (2 papers)KTH Publication Database DiVA (KTH Royal Institute of Technology) (2 papers)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)
Partner nations
SwedenAustraliaGermany

In The Last Decade

Lars Andersson

13 papers receiving 388 citations

Peers

Lars Andersson
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 281
  • Media Technology 31
  • Human-Computer Interaction 19
  • Artificial Intelligence 105
  • Computer Networks and Communications 69
Replace Mohammed Alonazi with:
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Citations per field
00.5×10×20×33×
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Citations per year

Countries citing papers authored by Lars Andersson

Since Specialization
Citations

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

Fields of papers citing papers by Lars Andersson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Lars Andersson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lars Andersson Line = papers co-authored together Lars Andersson links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201797
2 201887
3 200885
4 200856
5 200826
6 201117
7 200914
8 20199
9
On multi-robot map fusion by inter-robot observations
20094
10
Sensor data fusion for terrain exploration by collaborating unmanned ground vehicles
20084
11 20032
12 20241
13
Results of the TAIS/preRunners-project
20091
14
Multi-robot Information Fusion : Considering spatial uncertainty models
20081

About Lars Andersson

Lars Andersson is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Artificial Intelligence and Computer Networks and Communications, having authored 14 papers that have together received 404 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (4 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Neural Network Applications (3 papers), Face and Expression Recognition (2 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (281 citations), Media Technology (31 citations), Human-Computer Interaction (19 citations), Artificial Intelligence (105 citations) and Computer Networks and Communications (69 citations). Lars Andersson has collaborated with scholars based in Sweden, Australia and Germany. Frequent co-authors include Lars Petersson, Niklas Pettersson, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Basura Fernando, Fatemeh Sadat Saleh, José Araújo, Gustav Wikström, Eckehard Steinbach and Calin Curescu. Their work appears in journals such as Machine Vision and Applications, Proceedings of the IEEE, International Conference on Information Fusion, KTH Publication Database DiVA (KTH Royal Institute of Technology) and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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