Kaj Lax
About
In The Last Decade
Kaj Lax
8 papers receiving 117 citations
Peers
Comparison fields: 5 of 45
- Pollution 44
- Geochemistry and Petrology 39
- Artificial Intelligence 38
- Environmental Chemistry 33
- Water Science and Technology 25
Countries citing papers authored by Kaj Lax
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).
Fields of papers citing papers by Kaj Lax
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.
Co-authorship network of co-authors of Kaj Lax
This figure shows the co-authorship network connecting the top 25 collaborators of Kaj Lax. A scholar is included among the top collaborators of Kaj Lax 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 Kaj Lax. Kaj Lax is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 53 | |
| 3 | Biogeochemical data from SGU : properties and applications | 2 |
| 4 | 14 | |
| 5 | 4 | |
| 6 | Environmental applications of biogeochemical data from Geological Survey of Sweden | 0 |
| 7 | 23 | |
| 8 | 10 | |
| 9 | 12 |
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.