Kaj Lax

23 total papers · 636 total citations
9 papers, 124 citations indexed

About

Kaj Lax is a scholar working on Artificial Intelligence, Environmental Engineering and Environmental Chemistry. According to data from OpenAlex, Kaj Lax has authored 9 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Environmental Engineering and 3 papers in Environmental Chemistry. Recurrent topics in Kaj Lax's work include Geochemistry and Geologic Mapping (8 papers), Soil Geostatistics and Mapping (5 papers) and Groundwater and Isotope Geochemistry (2 papers). Kaj Lax is often cited by papers focused on Geochemistry and Geologic Mapping (8 papers), Soil Geostatistics and Mapping (5 papers) and Groundwater and Isotope Geochemistry (2 papers). Kaj Lax collaborates with scholars based in Sweden, Finland and Norway. Kaj Lax's co-authors include Olle Selinus, Bjørn Frengstad, Timo Tarvainen, Børge Johannes Wigum, Gustav Sohlenius, Mehrdad Bastani, Lena Persson, Henning Holmström, Johan Ingri and Frauke Ecke 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

Kaj Lax

8 papers receiving 117 citations

Author Peers

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

Author						Papers	Cites
Kaj Lax	44	39	38	33	25	9	124
Ubul Fügedi	51 1.2×	41 1.1×	39 1.0×	25 0.8×	14 0.6×	8	112
Fabian Jähne‐Klingberg	75 1.7×	21 0.5×	46 1.2×	27 0.8×	7 0.3×	12	183
H. W. Lakin	83 1.9×	79 2.0×	64 1.7×	80 2.4×	24 1.0×	13	289
Lorenzo Ricolfi	37 0.8×	78 2.0×	20 0.5×	37 1.1×	86 3.4×	15	245
A. Gilucis	113 2.6×	41 1.1×	105 2.8×	28 0.8×	14 0.6×	4	225
V. Petersell	104 2.4×	49 1.3×	41 1.1×	22 0.7×	48 1.9×	15	253
V. Gregorauskiene	139 3.2×	52 1.3×	119 3.1×	35 1.1×	16 0.6×	11	247
Pallavi Das	113 2.6×	58 1.5×	37 1.0×	37 1.1×	101 4.0×	12	273
Balwinder Sidhu	24 0.5×	91 2.3×	16 0.4×	17 0.5×	74 3.0×	15	220
Michal Poňavič	107 2.4×	16 0.4×	38 1.0×	61 1.8×	7 0.3×	4	139

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).

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.

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

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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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