Elmar W. Lang
- Atomic and Molecular Physics, and Optics top 5%
- Materials Chemistry top 5%
- Biomedical Engineering top 5%
- Signal Processing top 1%
- Cognitive Neuroscience top 5%
- Co-authors
- H.‐D. LüdemannAna Maria ToméCarlos G. PuntonetF. X. PrielmeierRobin J. SpeedyK. HeinzKlaus MüllerJ. M. Górriz
- Topics
- Blind Source Separation Techniques (63 papers)Spectroscopy and Chemometric Analyses (28 papers)Neural dynamics and brain function (23 papers)
- Journals
- Physical Review LettersThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología
In The Last Decade
Elmar W. Lang
202 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 164
- Atomic and Molecular Physics, and Optics 863
- Materials Chemistry 855
- Biomedical Engineering 804
- Signal Processing 570
- Cognitive Neuroscience 461
Countries citing papers authored by Elmar W. Lang
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).
Fields of papers citing papers by Elmar W. Lang
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.
Co-authorship network of co-authors of Elmar W. Lang
This figure shows the co-authorship network connecting the top 25 collaborators of Elmar W. Lang. A scholar is included among the top collaborators of Elmar W. Lang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elmar W. Lang. Elmar W. Lang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 50 | |
| 4 | 29 | |
| 5 | 7 | |
| 6 | Linear invariant systems theory for signal enhancement | 1 |
| 7 | Projective segmentation of metal implants in Cone Beam computed tomographic images | 3 |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 33 | |
| 12 | Nonlinear projective techniques to extract artifacts in biomedical signals | 10 |
| 13 | Analyzing gene expression profiles with ICA | 3 |
| 14 | 2 | |
| 15 | dAMUSE - A new tool for denoising and BSS | 1 |
| 16 | Hybrid ICA - ANN model applied to volatile time series forecasting | 1 |
| 17 | Linearization identification and an application to BSS using a SOM | 1 |
| 18 | Lattice ICA for the separation of speech signals | 0 |
| 19 | Geometric Overcomplete ICA | 9 |
| 20 | 8 |
About Elmar W. Lang
Elmar W. Lang is a scholar working on Signal Processing, Analytical Chemistry and Cognitive Neuroscience, having authored 205 papers that have together received 3.6k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (63 papers), Spectroscopy and Chemometric Analyses (28 papers) and Neural dynamics and brain function (23 papers). The work is most often cited by research in Signal Processing (570 citations), Fluid Flow and Transfer Processes (298 citations) and Atomic and Molecular Physics, and Optics (863 citations). Elmar W. Lang has collaborated with scholars based in Germany, Portugal and Spain. Frequent co-authors include H.‐D. Lüdemann, Ana Maria Tomé, Carlos G. Puntonet, F. X. Prielmeier, Robin J. Speedy, K. Heinz, Klaus Müller, J. M. Górriz, Fabian J. Theis and Hans‐Dietrich Lüdemann. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.