S. Lang
Impact in
- Signal Processing top 5%
- Direction-of-Arrival Estimation Techniques
- Digital Filter Design and Implementation
- Applied Mathematics top 5%
- Statistical and numerical algorithms
- Mathematical Analysis and Transform Methods
Papers in
-
- Direction-of-Arrival Estimation Techniques 10
- Digital Filter Design and Implementation 4
-
- Statistical and numerical algorithms 9
- Co-authors
- James H. McClellan (8 shared papers)Andrew L. Kurkjian (2 shared papers)Thomas W. Parks (1 shared paper)Thomas L. Marzetta (4 shared papers)Bruce R. Musicus (1 shared paper)Fred E. Stanke (1 shared paper)Paul D. Fiore (1 shared paper)Michael L. Oristaglio (1 shared paper)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (2 papers)IEEE Transactions on Information Theory (2 papers)Geophysics (1 paper)Proceedings of the IEEE (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
S. Lang
21 papers receiving 374 citations
Peers
Comparison fields: 5 of 41
- Signal Processing 155
- Applied Mathematics 140
- Geophysics 97
- Mathematical Physics 31
- Computational Mechanics 60
Countries citing papers authored by S. Lang
This map shows the geographic impact of S. 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 S. Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Lang more than expected).
Fields of papers citing papers by S. Lang
This network shows the impact of papers produced by S. 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 S. Lang. The network helps show where S. Lang may publish in the future.
Co-authors
The 11 scholars most cited alongside S. Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 97 | |
| 2 | 1987 | 89 | |
| 3 | 1983 | 76 | |
| 4 | 1982 | 62 | |
| 5 | 1979 | 24 | |
| 6 | 2005 | 15 | |
| 7 | 1984 | 14 | |
| 8 | 2005 | 13 | |
| 9 | 2003 | 8 | |
| 10 | 1983 | 7 | |
| 11 | 1985 | 7 | |
| 12 | 1985 | 6 | |
| 13 | 1986 | 4 | |
| 14 | 1984 | 3 | |
| 15 | 1984 | 3 | |
| 16 | 1991 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 1986 | 2 | |
| 19 | 2002 | 2 | |
| 20 | 1988 | 1 |
About S. Lang
S. Lang is a scholar working on Signal Processing, Applied Mathematics, Geophysics, Mathematical Physics and Computational Theory and Mathematics, having authored 25 papers that have together received 441 indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (10 papers), Statistical and numerical algorithms (9 papers), Digital Filter Design and Implementation (4 papers), Seismic Imaging and Inversion Techniques (3 papers), Advanced Electrical Measurement Techniques (3 papers), Matrix Theory and Algorithms (2 papers), Advanced Adaptive Filtering Techniques (2 papers) and Numerical methods in inverse problems (2 papers). The work is most often cited by research in Signal Processing (155 citations), Applied Mathematics (140 citations), Geophysics (97 citations), Mathematical Physics (31 citations) and Computational Mechanics (60 citations). S. Lang has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include James H. McClellan, Andrew L. Kurkjian, Thomas W. Parks, Thomas L. Marzetta, Bruce R. Musicus, Fred E. Stanke, Paul D. Fiore, Michael L. Oristaglio, Kai Hsu and Ross Deming. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Information Theory, Geophysics, Proceedings of the IEEE and Elsevier eBooks.
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.