Mats Lind

31 papers and 405 indexed citations i.

About

Mats Lind is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Mats Lind has authored 31 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Mats Lind’s work include Visual perception and processing mechanisms (15 papers), Data Visualization and Analytics (10 papers) and Advanced Vision and Imaging (6 papers). Mats Lind is often cited by papers focused on Visual perception and processing mechanisms (15 papers), Data Visualization and Analytics (10 papers) and Advanced Vision and Imaging (6 papers). Mats Lind collaborates with scholars based in Sweden, United States and Canada. Mats Lind's co-authors include Jorgen Fredsøe, B. Mutlu Sumer, Stefan Seipel, Geoffrey P. Bingham, Camilla Forsell, Matthew Cooper, Jimmy Johansson, Erik Börjesson, Bengt Sandblad and Sabine Koch and has published in prestigious journals such as Experimental Brain Research, Journal of Experimental Psychology Human Perception & Performance and Vision Research.

In The Last Decade

Co-authorship network of co-authors of Mats Lind i

Fields of papers citing papers by Mats Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mats Lind

Since Specialization
Citations

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

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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