Eyvind Niklasson

24 total papers · 588 total citations
9 papers, 200 citations indexed

About

Eyvind Niklasson is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eyvind Niklasson has authored 9 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eyvind Niklasson's work include Cellular Automata and Applications (3 papers), Reinforcement Learning in Robotics (2 papers) and Multimodal Machine Learning Applications (2 papers). Eyvind Niklasson is often cited by papers focused on Cellular Automata and Applications (3 papers), Reinforcement Learning in Robotics (2 papers) and Multimodal Machine Learning Applications (2 papers). Eyvind Niklasson collaborates with scholars based in United States and Switzerland. Eyvind Niklasson's co-authors include Alexander Mordvintsev, Ettore Randazzo, Michael Levin, Yoav Artzi, Valts Blukis, Dipendra Misra, Andrew Bennett, Sam Greydanus, Ross A. Knepper and Tong Zhang and has published in prestigious journals such as ACM Transactions on Graphics.

In The Last Decade

Eyvind Niklasson

8 papers receiving 196 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eyvind Niklasson 105 81 54 29 23 9 200
James A. Hilder 61 0.6× 30 0.4× 21 0.4× 44 1.5× 74 3.2× 16 211
Thomas Rückstieß 137 1.3× 28 0.3× 49 0.9× 8 0.3× 17 0.7× 7 202
Ettore Randazzo 45 0.4× 12 0.1× 61 1.1× 31 1.1× 24 1.0× 10 135
Bozhen Hu 157 1.5× 58 0.7× 19 0.4× 18 0.6× 12 0.5× 13 270
Christos Ampatzis 66 0.6× 18 0.2× 25 0.5× 86 3.0× 12 0.5× 18 192
David Harlan Wood 112 1.1× 35 0.4× 44 0.8× 17 0.6× 11 0.5× 20 203
Ryan Julian 107 1.0× 40 0.5× 19 0.4× 11 0.4× 89 3.9× 13 208
Dominique Snyers 91 0.9× 31 0.4× 22 0.4× 33 1.1× 15 0.7× 9 214
Ali Ajdari Rad 59 0.6× 68 0.8× 12 0.2× 10 0.3× 20 0.9× 12 284
Martin Rosalie 16 0.2× 79 1.0× 18 0.3× 10 0.3× 36 1.6× 16 244

Countries citing papers authored by Eyvind Niklasson

Since Specialization
Citations

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

Fields of papers citing papers by Eyvind Niklasson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eyvind Niklasson

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

All Works

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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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