Kyle M. Lang

52 papers and 5.5k indexed citations i.

About

Kyle M. Lang is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Statistics and Probability. According to data from OpenAlex, Kyle M. Lang has authored 52 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Condensed Matter Physics, 11 papers in Atomic and Molecular Physics, and Optics and 10 papers in Statistics and Probability. Recurrent topics in Kyle M. Lang’s work include Physics of Superconductivity and Magnetism (15 papers), Statistical Methods and Bayesian Inference (8 papers) and Iron-based superconductors research (7 papers). Kyle M. Lang is often cited by papers focused on Physics of Superconductivity and Magnetism (15 papers), Statistical Methods and Bayesian Inference (8 papers) and Iron-based superconductors research (7 papers). Kyle M. Lang collaborates with scholars based in United States, Japan and The Netherlands. Kyle M. Lang's co-authors include J. C. Davis, Hiroshi Eisaki, S. Uchida, Eric Hudson, Jennifer E. Hoffman, Todd D. Little, Vidya Madhavan, John M. Martinis, E. Whitney G. Moore and Terrence D. Jorgensen and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Co-authorship network of co-authors of Kyle M. Lang i

Fields of papers citing papers by Kyle M. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kyle M. Lang

Since Specialization
Citations

This map shows the geographic impact of Kyle M. 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 Kyle M. Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle M. 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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2025