Martin Mundt

14 papers and 479 indexed citations i.

About

Martin Mundt is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Martin Mundt has authored 14 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 4 papers in Astronomy and Astrophysics. Recurrent topics in Martin Mundt’s work include Terahertz technology and applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Superconducting and THz Device Technology (4 papers). Martin Mundt is often cited by papers focused on Terahertz technology and applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Superconducting and THz Device Technology (4 papers). Martin Mundt collaborates with scholars based in Germany, Lithuania and South Korea. Martin Mundt's co-authors include Visvanathan Ramesh, Viktor Krozer, Hartmut G. Roskos, Alvydas Lisauskas, Sebastian Boppel, Linas Minkevičius, Gintaras Valušis, Irmantas Kašalynas, Sagnik Majumder and D. Seliuta and has published in prestigious journals such as Optics Express, IEEE Transactions on Microwave Theory and Techniques and Neural Networks.

In The Last Decade

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

Fields of papers citing papers by Martin Mundt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Mundt

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025