S. Baumann

1.6k citations
37 papers · 326 indexed · h-index 11

S. Baumann

33 papers receiving 275 citations

Peers

S. Baumann
Comparison fields: 5 of 64
  • Signal Processing 155
  • Computer Vision and Pattern Recognition 132
  • Human-Computer Interaction 21
  • Artificial Intelligence 90
  • Information Systems 59
Replace Rajeswari Sridhar with:
Rajeswari Sridhar India
Megan Monroe United States
Rongjian Lan United States
Harry Stavropoulos United States
Ron Davidson Australia
Assef Jafar Syria
Utz Westermann Germany
Suraiya Jabin India
S. Baumann relative to Rajeswari Sridhar India Rajeswari Sridhar's profile →
Citations per field
00.5×3.5×
Rajeswari Sridhar · 1×
Citations per year

Countries citing papers authored by S. Baumann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

The 25 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.

Border = papers with S. Baumann Line = papers co-authored together S. Baumann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20215
2 20211
3 20202
4 20140
5 20126
6
Cloudy Transactions: Cooperative XML Authoring on Amazon S3.
20115
7 20096
8 200720
9
"Smart Logistics" - Usage of innovative Information and Communication technologies in production logistics
20071
10 20050
11
TOWARDS A SOCIO-CULTURAL COMPATIBILITY OF MIR SYSTEMS
200414
12 200434
13 20045
14
Music Life Cycle Support through Ontologies
20040
15 200311
16
Super-convenience for Non-musicans: Querying MP3 and the Semantic Web.
20022
17 200213
18 200213
19
From Paper to a Corporate Memory - A First Step
19971
20
IAPR Workshop on Structural and Syntactic Pattern Recognition.
19932

About S. Baumann

S. Baumann is a scholar working on Signal Processing, Music and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 326 indexed citations. Recurring topics across this work include Music and Audio Processing (11 papers), Music Technology and Sound Studies (7 papers), Handwritten Text Recognition Techniques (4 papers), Peer-to-Peer Network Technologies (3 papers), Speech and Audio Processing (3 papers), Advanced Database Systems and Queries (3 papers), Complex Network Analysis Techniques (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Signal Processing (155 citations), Computer Vision and Pattern Recognition (132 citations) and Human-Computer Interaction (21 citations). S. Baumann has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Shankar Vembu, Oliver Hummel, Ali Nasser Eddine, Stefan H. E. Kaufmann, Andreas Dengel, Tim Pohle, Kai-Uwe Sattler, Andreas Dengel, John Halloran and C. Wenzel. Their work appears in journals such as Blood, Journal of New Music Research, Distributed and Parallel Databases, Social Network Analysis and Mining and Informatik-Spektrum.

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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2026