M. Lakota

About

M. Lakota is a scholar working on Plant Science, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, M. Lakota has authored 16 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 2 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in M. Lakota’s work include Smart Agriculture and AI (3 papers), Plant Surface Properties and Treatments (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). M. Lakota is often cited by papers focused on Smart Agriculture and AI (3 papers), Plant Surface Properties and Treatments (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). M. Lakota collaborates with scholars based in Slovenia and Austria. M. Lakota's co-authors include D. Stajnko, Marko Hočevar, P. Vindiš, M. Lešnik, B. Muršec, Aleš Belšak and Michael Narodoslawsky and has published in prestigious journals such as Sensors, Computers and Electronics in Agriculture and International Journal of Phytoremediation.

In The Last Decade

Co-authorship network of co-authors of M. Lakota i

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Fields of papers citing papers by M. Lakota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Lakota

Since Specialization

Citations

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