Kaj Lax

About

Kaj Lax is a scholar working on Artificial Intelligence, Environmental Engineering and Environmental Chemistry. According to data from OpenAlex, Kaj Lax has authored 7 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Environmental Engineering and 3 papers in Environmental Chemistry. Recurrent topics in Kaj Lax’s work include Geochemistry and Geologic Mapping (6 papers), Soil Geostatistics and Mapping (3 papers) and Geophysical and Geoelectrical Methods (2 papers). Kaj Lax is often cited by papers focused on Geochemistry and Geologic Mapping (6 papers), Soil Geostatistics and Mapping (3 papers) and Geophysical and Geoelectrical Methods (2 papers). Kaj Lax collaborates with scholars based in Sweden, Finland and Norway. Kaj Lax's co-authors include Olle Selinus, Timo Tarvainen, Bjørn Frengstad, Børge Johannes Wigum, Lena Persson, Mehrdad Bastani, Gustav Sohlenius, Frauke Ecke, Björn Öhlander and Henning Holmström and has published in prestigious journals such as Journal of Geochemical Exploration, Geochemistry Exploration Environment Analysis and Agricultural and Food Science.

In The Last Decade

Co-authorship network of co-authors of Kaj Lax i

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Fields of papers citing papers by Kaj Lax

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaj Lax

Since Specialization

Citations

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