Lars Andersson

637 citations
14 papers · 445 · h-index 8

Impact in

Papers in

Lars Andersson

14 papers receiving 429 citations

Peers

Lars Andersson
Comparison fields: 5 of 45
  • Computer Vision and Pattern Recognition 307
  • Media Technology 32
  • Human-Computer Interaction 21
  • Artificial Intelligence 116
  • Aerospace Engineering 77
Replace Eugenio Aguirre with:
Eugenio Aguirre Spain
Zoran Kalafatić Croatia
Wanru Xu China
Min‐Fan Ricky Lee Taiwan
Junjiao Tian United States
Zhitao Yu United States
Ángel Llamazares Spain
Jinlong Li United States
Iraj Mantegh Canada
Jaemin Kim South Korea
Lars Andersson relative to Eugenio Aguirre Spain Eugenio Aguirre's profile →
Citations per field
00.5×2×4×6×8.8×
Eugenio Aguirre · 1×
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 2017112
2 201895
3 200892
4 200859
5 200826
6 201120
7 200914
8 201910
9
On multi-robot map fusion by inter-robot observations
20096
10
Sensor data fusion for terrain exploration by collaborating unmanned ground vehicles
20084
11 20033
12
Multi-robot Information Fusion : Considering spatial uncertainty models
20082
13 20241
14
Results of the TAIS/preRunners-project
20091

About Lars Andersson

Lars Andersson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications and Mechanical Engineering, having authored 14 papers that have together received 445 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), Advanced Image and Video Retrieval Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (307 citations), Media Technology (32 citations), Human-Computer Interaction (21 citations), Artificial Intelligence (116 citations) and Aerospace Engineering (77 citations). Lars Andersson has collaborated with scholars based in Australia, Sweden and Germany. Frequent co-authors include Lars Petersson, Niklas Pettersson, Fatemeh Sadat Saleh, Mathieu Salzmann, Mohammad Sadegh Aliakbarian, Basura Fernando, José Araújo, Joachim Sachs, Eckehard Steinbach and Calin Curescu. Their work appears in journals such as Machine Vision and Applications, Proceedings of the IEEE, ANU Open Research (Australian National University), Infoscience (Ecole Polytechnique Fédérale de Lausanne) and International Conference on Information Fusion.

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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