S. Baumann
Impact in
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Signal Processing top 5%
- Music and Audio Processing
Papers in
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- Particle physics theoretical and experimental studies 36
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- Music and Audio Processing 9
- Co-authors
- Shankar Vembu (3 shared papers)Oliver Hummel (3 shared papers)Andreas Dengel (8 shared papers)Andreas Dengel (2 shared papers)Tim Pohle (1 shared paper)Stefan Agne (2 shared papers)Thomas Kieninger (2 shared papers)Rainer Hoch (1 shared paper)
- Journals
- Physics Letters B (29 papers)The European Physical Journal C (5 papers)Journal of Web Semantics (1 paper)Journal of New Music Research (1 paper)Social Network Analysis and Mining (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
S. Baumann
71 papers receiving 886 citations
Peers
Comparison fields: 5 of 48
- Nuclear and High Energy Physics 500
- Signal Processing 142
- Artificial Intelligence 141
- Computer Vision and Pattern Recognition 93
- Information Systems 97
Countries citing papers authored by S. Baumann
This map shows the geographic impact of S. Baumann'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. Baumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Baumann more than expected).
Fields of papers citing papers by S. Baumann
This network shows the impact of papers produced by S. Baumann. 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. Baumann. The network helps show where S. Baumann may publish in the future.
Co-authors
The 11 scholars most cited alongside S. Baumann, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 77 | |
| 2 | 2005 | 73 | |
| 3 | 2004 | 44 | |
| 4 | 1999 | 40 | |
| 5 | 2000 | 32 | |
| 6 | 1998 | 31 | |
| 7 | 2000 | 31 | |
| 8 | 1997 | 30 | |
| 9 | 2000 | 30 | |
| 10 | 1998 | 29 | |
| 11 | 1998 | 27 | |
| 12 | 1999 | 26 | |
| 13 | 1987 | 24 | |
| 14 | 1998 | 24 | |
| 15 | 2007 | 24 | |
| 16 | 2007 | 23 | |
| 17 | 2005 | 20 | |
| 18 | 2002 | 17 | |
| 19 | 2002 | 17 | |
| 20 | TOWARDS A SOCIO-CULTURAL COMPATIBILITY OF MIR SYSTEMS | 2004 | 16 |
About S. Baumann
S. Baumann is a scholar working on Nuclear and High Energy Physics, Signal Processing, Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 73 papers that have together received 977 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (36 papers), Music and Audio Processing (9 papers), Recommender Systems and Techniques (8 papers), Handwritten Text Recognition Techniques (6 papers), Complex Network Analysis Techniques (5 papers), Semantic Web and Ontologies (5 papers), Sentiment Analysis and Opinion Mining (3 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (500 citations), Signal Processing (142 citations), Artificial Intelligence (141 citations), Computer Vision and Pattern Recognition (93 citations) and Information Systems (97 citations). S. Baumann has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Shankar Vembu, Oliver Hummel, Andreas Dengel, Andreas Dengel, Tim Pohle, Stefan Agne, Thomas Kieninger, Rainer Hoch, Norbert Kühn and Markus Junker. Their work appears in journals such as Physics Letters B, The European Physical Journal C, Journal of Web Semantics, Journal of New Music Research and Social Network Analysis and Mining.
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.