Magnus Johnsson

1.1k total citations
46 papers, 717 citations indexed

About

Magnus Johnsson is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Magnus Johnsson has authored 46 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Control and Systems Engineering and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Magnus Johnsson's work include Robot Manipulation and Learning (13 papers), Neural Networks and Applications (10 papers) and Tactile and Sensory Interactions (10 papers). Magnus Johnsson is often cited by papers focused on Robot Manipulation and Learning (13 papers), Neural Networks and Applications (10 papers) and Tactile and Sensory Interactions (10 papers). Magnus Johnsson collaborates with scholars based in Sweden, Spain and Iran. Magnus Johnsson's co-authors include David Gil, Christian Balkenius, Joaquı́n De Juan, María José Gómez‐Torres, Higinio Mora, Daniel Ruíz Fernández, Juan Manuel García‐Chamizo, Julian Szymański, Peter Gärdenfors and P. Simonsson and has published in prestigious journals such as Expert Systems with Applications, Sensors and Biology of Reproduction.

In The Last Decade

Magnus Johnsson

45 papers receiving 659 citations

Peers

Magnus Johnsson

CVPR

CSE

PHYSI

İbrahim Burak Özyurt United States

Lian Li China

V́ıctor González-Castro Spain

Zhaoxia Wang China

Yagang Wang China

Eiji Hayashi Japan

Ruwei Dai China

Elena Hernández-Pereira Spain

Mohammed Zakariah Saudi Arabia

İbrahim Burak Özyurt United States

Magnus Johnsson

337 ×1.3

177 ×1.3

178 ×1.4

CVPR

52 ×0.5

CSE

15 ×0.2

PHYSI

Citations per year, relative to Magnus Johnsson Magnus Johnsson (= 1×) peers İbrahim Burak Özyurt

Countries citing papers authored by Magnus Johnsson

Since Specialization

Citations

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

Fields of papers citing papers by Magnus Johnsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magnus Johnsson

This figure shows the co-authorship network connecting the top 25 collaborators of Magnus Johnsson. A scholar is included among the top collaborators of Magnus Johnsson 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 Magnus Johnsson. Magnus Johnsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gil, David, Magnus Johnsson, Higinio Mora, & Julian Szymański. (2019). Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems. Complexity. 2019(1). 4 indexed citations

Gärdenfors, Peter, et al.. (2017). Hierarchical Self-organizing Maps System for Action Classification. Lund University Publications (Lund University). 583–590. 4 indexed citations

Gil, David, et al.. (2013). Semen Parameters Can Be Predicted from Environmental Factors and Lifestyle Using Artificial Intelligence Methods1. Biology of Reproduction. 88(4). 99–99. 43 indexed citations

Dindo, Haris, et al.. (2013). Simulating Actions with the Associative Self-Organizing Map. Nova Science Publishers (Nova Science Publishers, Inc.). 13–24. 3 indexed citations

García‐Rodríguez, José, et al.. (2012). Using GNG to improve 3D feature extraction—Application to 6DoF egomotion. Neural Networks. 32. 138–146. 15 indexed citations

Johnsson, Magnus & David Gil. (2011). Internal Simulation of Perceptions and Actions. Advances in experimental medicine and biology. 718. 87–100. 1 indexed citations

Gil, David, Magnus Johnsson, Juan Manuel García‐Chamizo, Antonio Payà, & Daniel Ruíz Fernández. (2011). Modelling of urological dysfunctions with neurological etiology by means of their centres involved. Applied Soft Computing. 11(8). 4448–4457. 9 indexed citations

Johnsson, Magnus & Christian Balkenius. (2011). Sense of Touch in Robots With Self-Organizing Maps. IEEE Transactions on Robotics. 27(3). 498–507. 26 indexed citations

Johnsson, Magnus, David Gil, Christian Balkenius, & Germund Hesslow. (2010). Supervised Architectures for Internal Simulation of Perceptions and Actions. Lund University Publications (Lund University). 5 indexed citations

10.

Gil, David & Magnus Johnsson. (2010). Supervised SOM Based Architecture versus Multilayer Perceptron and RBF Networks. Lund University Publications (Lund University). 15–24. 11 indexed citations

11.

Johnsson, Magnus & Christian Balkenius. (2009). Experiments with Self-Organizing Systems for Texture and Hardness Perception. Robotics and Autonomous Systems. 4. 53–62. 4 indexed citations

12.

Balkenius, Christian, et al.. (2009). Ikaros: Building cognitive models for robots. Advanced Engineering Informatics. 24(1). 40–48. 25 indexed citations

13.

Johnsson, Magnus & Christian Balkenius. (2008). Associating SOM Representations of Haptic Submodalities. Lund University Publications (Lund University). 124–129. 6 indexed citations

14.

Johnsson, Magnus, et al.. (2008). Touch Perception with SOM, Growing Cell Structures and Growing Grids. Lund University Publications (Lund University). 79–85. 3 indexed citations

15.

Johnsson, Magnus & Christian Balkenius. (2008). Recognizing texture and hardness by touch. Lund University Publications (Lund University). 13. 482–487. 10 indexed citations

16.

Balkenius, Christian, et al.. (2008). Ikaros: Building Cognitive Models for Robots.. Lund University Publications (Lund University). 47–54. 1 indexed citations

17.

Johnsson, Magnus & Christian Balkenius. (2007). Experiments with Proprioception in a Self-Organizing System for Haptic Perception. Lund University Publications (Lund University). 20 indexed citations

18.

Johnsson, Magnus & Christian Balkenius. (2007). Neural network models of haptic shape perception. Robotics and Autonomous Systems. 55(9). 720–727. 27 indexed citations

19.

Johnsson, Magnus & Christian Balkenius. (2006). A Robot Hand with T-MPSOM Neural Networks in a Model of the Human Haptic System. Lund University Publications (Lund University). 80–87. 5 indexed citations

20.

Swolin, Birgitta, et al.. (2003). Differential counting of blood leukocytes using automated microscopy and a decision support system based on artificial neural networks - evaluation of DiffMaster^TM Octavia. Clinical & Laboratory Haematology. 25(3). 139–147. 49 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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