Andreas Svensson

555 total citations
15 papers, 338 citations indexed

About

Andreas Svensson is a scholar working on Artificial Intelligence, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Andreas Svensson has authored 15 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Clinical Psychology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Andreas Svensson's work include Gaussian Processes and Bayesian Inference (5 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers) and Perfectionism, Procrastination, Anxiety Studies (4 papers). Andreas Svensson is often cited by papers focused on Gaussian Processes and Bayesian Inference (5 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers) and Perfectionism, Procrastination, Anxiety Studies (4 papers). Andreas Svensson collaborates with scholars based in Sweden, Denmark and Netherlands. Andreas Svensson's co-authors include Gerhard Andersson, Alexander Rozental, Erik Forsell, Per Carlbring, Dennis van der Meer, Joakim Widén, Joakim Munkhammar, Mahmoud Shepero, Thomas B. Schön and David Forsström and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Applied Energy and European Heart Journal.

In The Last Decade

Andreas Svensson

13 papers receiving 326 citations

Peers

Andreas Svensson
Comparison fields: 5 of 64
  • Clinical Psychology 137
  • Electrical and Electronic Engineering 100
  • Artificial Intelligence 99
  • Experimental and Cognitive Psychology 95
  • Public Health, Environmental and Occupational Health 54
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Citations per field, relative to Andreas Svensson
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Citations per year, relative to Andreas Svensson
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Countries citing papers authored by Andreas Svensson

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Svensson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Svensson

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2
Machine learning with state-space models, Gaussian processes and Monte Carlo methods
1
3 116
4
6DOF Object Recognition and Positioning for Robotics Using Next Best View Heuristics
3
5 20
6 8
7 14
8
Learning probabilistic models of dynamical phenomena using particle filters
0
9 24
10 72
11 22
12 6
13 50
14
Design of Inductive Coupling for Powering andCommunication of Implantable Medical Devices
1
15
Test av svag marknadseffektivitet för OMX Stockholm 30
0

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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