Elmar W. Lang

184 papers and 3.3k indexed citations i.

About

Elmar W. Lang is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Elmar W. Lang has authored 184 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Signal Processing, 38 papers in Cognitive Neuroscience and 33 papers in Artificial Intelligence. Recurrent topics in Elmar W. Lang’s work include Blind Source Separation Techniques (48 papers), Neural dynamics and brain function (23 papers) and Spectroscopy and Chemometric Analyses (22 papers). Elmar W. Lang is often cited by papers focused on Blind Source Separation Techniques (48 papers), Neural dynamics and brain function (23 papers) and Spectroscopy and Chemometric Analyses (22 papers). Elmar W. Lang collaborates with scholars based in Germany, Portugal and Spain. Elmar W. Lang's co-authors include H.‐D. Lüdemann, F. X. Prielmeier, Ana Maria Tomé, Robin J. Speedy, Carlos G. Puntonet, K. Heinz, Klaus Müller, Hans‐Dietrich Lüdemann, Fabian J. Theis and J. M. Górriz and has published in prestigious journals such as Physical Review Letters, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Elmar W. Lang i

Fields of papers citing papers by Elmar W. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elmar W. Lang

Since Specialization
Citations

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