Hans G. C. Tråvén

775 citations
7 papers · 574 indexed · h-index 6

Hans G. C. Tråvén

6 papers receiving 548 citations

Peers

Hans G. C. Tråvén
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 214
  • Cognitive Neuroscience 221
  • Cell Biology 171
  • Artificial Intelligence 158
  • Statistical and Nonlinear Physics 51
Replace Natsue Yoshimura with:
Natsue Yoshimura Japan
Jim‐Shih Liaw United States
Benjamin Dunn Norway
David Feng United States
Alex H. Williams United States
Christian Tetzlaff Germany
Iris Ginzburg Israel
Gamaleldin F. Elsayed United States
Patrick Krauß Germany
Erhan Bas United States
Hans G. C. Tråvén relative to Natsue Yoshimura Japan Natsue Yoshimura's profile →
Citations per field
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Natsue Yoshimura · 1×
Citations per year

Countries citing papers authored by Hans G. C. Tråvén

Since Specialization
Citations

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

Fields of papers citing papers by Hans G. C. Tråvén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans G. C. Tråvén. 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 Hans G. C. Tråvén. The network helps show where Hans G. C. Tråvén may publish in the future.

Co-authorship network

The 7 scholars most cited alongside Hans G. C. Tråvén, 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 Hans G. C. Tråvén Line = papers co-authored together Hans G. C. Tråvén links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 20020
2 199320
3 199371
4 1992101
5 1991145
6 1991150
7 199187

About Hans G. C. Tråvén

Hans G. C. Tråvén is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence and Signal Processing, having authored 7 papers that have together received 574 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (4 papers), Neural dynamics and brain function (3 papers), Neural Networks and Applications (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Fuzzy Logic and Control Systems (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Bayesian Methods and Mixture Models (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (214 citations), Cognitive Neuroscience (221 citations), Cell Biology (171 citations), Artificial Intelligence (158 citations) and Statistical and Nonlinear Physics (51 citations). Hans G. C. Tråvén has collaborated with scholars based in Sweden. Frequent co-authors include Lennart Brodin, Örjan Ekeberg, Anders Lansner, P. Wallén, Sten Grillner, S. Grillner and Kjell Elenius. Their work appears in journals such as Journal of Neurophysiology, Biological Cybernetics, IEEE Transactions on Neural Networks, Conference of the International Speech Communication Association and IEEE International Conference on Neural Networks.

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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