Martin Lang

19 papers and 232 indexed citations i.

About

Martin Lang is a scholar working on Artificial Intelligence, Aerospace Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Martin Lang has authored 19 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Aerospace Engineering and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Martin Lang’s work include Computational Physics and Python Applications (3 papers), Cryospheric studies and observations (3 papers) and Physics of Superconductivity and Magnetism (3 papers). Martin Lang is often cited by papers focused on Computational Physics and Python Applications (3 papers), Cryospheric studies and observations (3 papers) and Physics of Superconductivity and Magnetism (3 papers). Martin Lang collaborates with scholars based in Germany, United Kingdom and United States. Martin Lang's co-authors include Hans Fangohr, Marijan Beg, Thomas Bürkle, Maynard M. Miller, Pelle Rangsten, Martin Nese, Hans‐Ulrich Prokosch, M. J. Beedle, Mauri Pelto and Melvin G. Marcus and has published in prestigious journals such as Scientific Reports, Annals of the New York Academy of Sciences and American Journal of Physics.

In The Last Decade

Co-authorship network of co-authors of Martin Lang i

Fields of papers citing papers by Martin Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Lang

Since Specialization
Citations

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